Articles in press have been peer-reviewed and accepted, which are not yet assigned to volumes /issues, but are citable by Digital Object Identifier (DOI).
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Image Processing and Simulation
Performance Evaluation Model for Infrared Polarization Imaging System
WANG Xia, ZHAO Jiabi, SUN Qiyang, JIN Weiqi
2023, 45(5): 437-445.  
Abstract HTML(5) PDF(10)
Although infrared polarization imaging systems have been developed rapidly and widely, a model for evaluating their performance has not been sufficiently developed. Performance models that can match advanced polarization imaging systems are urgently required. Regarding the similarity between the training process of a deep learning network and the process of extracting cognitive information from the human brain, this paper introduces a deep learning method in the field of system performance modeling for the first time and proposes a performance model for infrared polarization imaging systems that can automatically evaluate system performance based on two-dimensional images. The model includes two main modules: a degradation module and a performance awareness module. When evaluating a new system, high-quality original images are input and sequentially passed through an imaging system degradation module, customized according to the hardware parameters of the system, and input into a performance awareness module to obtain the final target acquisition performance. Moreover, to verify the effectiveness of the model, we realized a self-built infrared polarization dataset for sea surface scenes based on infrared radiation theory, and trained and tested the networks. The results obtained when the model was applied to evaluate the performance of infrared polarization imaging systems showed good agreement with subjective perception.
Infrared Image Segmentation for Electrical Equipment based on Fuzzy Inference
ZENG Shuiling, TANG Minzhi
2023, 45(5): 446-454.  
Abstract HTML(2) PDF(4)
Fuzzy theory is considered to address the uncertainty of infrared image segmentation of electrical equipment, and a new algorithm based on fuzzy inference for infrared image segmentation of electrical equipment is proposed in this paper. First, the intensity, global fault probability, and local grayscale features were defined using the pixel grayscale of the fault region in the infrared image of the electrical equipment, Mahalanobis distance between pixel points, image center of mass, and image dilation operation. Subsequently, 27 fuzzy rules were formulated based on the fuzzy language values of the features, and an infrared image segmentation algorithm based on fuzzy inference was designed. Finally, the algorithm was compared with the traditional Otsu and FCM algorithms in terms of subjective and objective evaluation indexes. Further, the experimental results show that the segmentation accuracy and misclassification error of the proposed algorithm are better than those of the other two algorithms. The algorithm can filter out interference regions with high luminance in infrared images, and exhibits a better segmentation effect on infrared images with small luminance differences and small fault areas.
A Holistic Segmentation Method for Faulty Electrical Equipment under Complex Background
GU Yaxiong, FENG Shuangshuang
2023, 45(5): 455-462.  
Abstract HTML(9) PDF(5)
A method of positioning and integral segmentation of faulty equipment in infrared images acquired during the process of infrared monitoring of electrical equipment in substations with complex backgrounds is proposed to contribute to solving problems including inaccurate positioning and difficult segmentation of faulty equipment. First, the image was segmented using the SLIC superpixel algorithm and the superpixel block was transformed into the Lab color space. The faulty area was obtained after the fault was determined based on the threshold value. Second, relatively bright spots with the maximum connectivity in the image, including faulty equipment, were selected as the original seeds. The number of seeds was controlled based on the principle of maximum variance between classes. Accordingly, primary equipment was obtained using an improved regional growth method. Finally, the overall segmentation of the faulty electrical equipment was completed through an intersection calculation between the faulty area and the main equipment. The results show that the positioning and overall segmentation of faulty electrical equipment under complex backgrounds can be successfully completed using the proposed method. Compared with other segmentation methods, identification of faulty electrical equipment using this method is more complete and accurate.
Foam Flow Rate Detection Based on Infrared Target Segmentation and SURF Matching in NSST Domain
SHI Wenling, LIAO Yipeng, XU Zhimeng, YAN Xin, ZHU Kunhua
2023, 45(5): 463-473.  
Abstract HTML(0) PDF(4)
In order to reduce the influence of changes such as flotation bubble merging and breaking on the foam surface flow feature extraction, a foam surface flow rate detection method based on infrared target segmentation and improved SURF matching in NSST domain is proposed. First, two adjacent froth infrared images are decomposed through NSST, and boundary, brightness, and saliency constraint terms of the graph cut energy function are constructed in the multi-scale domain to realize the segmentation of the merged and broken bubbles. Then, SURF feature point detection are performed on the segmented background region. The main direction of the feature point is determined by statistical the scale correlation coefficients in the sector area, and the multi-directional high-frequency coefficients in the neighborhood of the feature point are used to construct the feature descriptors. Finally, feature points are matched for two adjacent froth infrared images, and the magnitude, direction, acceleration and disorder of foam flow velocity are calculated based on the matching results. The experimental results show that the method in this paper can effectively segment the merged and broken bubbles with high segmentation accuracy, improve the matching accuracy of SURF algorithm, reduce the impact of the bubbles merging and breaking on the flow velocity detection. Compared with the existing methods, the method in this paper improve the detection accuracy and efficiency, which can accurately characterize the flow characteristics of the foam surface under different working conditions and lay the foundation for the subsequent working condition identification.
A Lightweight Infrared Target Detection Algorithm for Multi-scale Targets
ZHENG Lu, PENG Yueping, ZHOU Tongtong
2023, 45(5): 474-481.  
Abstract HTML(4) PDF(6)
To solve the problems of large parameters, high complexity, and poor detection performance of multiscale targets in the existing infrared target detection algorithms based on deep learning, a lightweight infrared target detection algorithm for multiscale targets is proposed. Based on YOLOv3, the algorithm uses the MobileNet V2 backbone network, simplified spatial pyramid structure (simSPP), anchor-free mechanism, decoupling head, and simplified positive and negative sample allocation strategies (SimOTA) to optimize the backbone, neck, and head, respectively. Finally, LMD-YOLOv3 with the model size of 6.25 M and floating-point computation of 2.14 GFLOPs was obtained. Based on the MTS-UAV data set, the mAP reached 90.5%, and on the RTX2080Ti dataset, the FPS reached 99. Compared with YOLOv3, mAP increased by 11.7%, and the model size was only 1/10 of YOLOv3.
Space-Time Domain Adaptive Filtering Non-uniformity Correction Algorithm
GUO Yuting, JIA Xiaohong, LI Lijuan, LIU Junming
2023, 45(5): 482-487.  
Abstract HTML(11) PDF(4)
Because the infrared focal plane detector is limited by manufacturing technology, the image is inevitably nonuniform. The traditional neural network algorithm solves the "ghost" problem using the guided filtering image as the expected template to prevent image edge smoothing by the filter. When the scene is moving, the nonuniformity correction parameters are continuously updated using the time-domain iteration strategy. To suppress the common ghosting phenomenon in the algorithm, an adaptive learning rate was designed based on a combination of the spatial local variance and the time-domain scene change rate, and the threshold was adjusted adaptively using the correction parameters before and after. Simulation results show that the root mean square error of the proposed algorithm is reduced by 45.45% compared with that of the traditional algorithm, and the proposed algorithm can suppress the "ghost" phenomenon well while correcting image nonuniformity.
Defect Detection of Photovoltaic Panel Based on Multisource Image Fusion
YAN Hao, DAI Jiajia, GONG Xiaoxi, WU Yuxiang, WANG Jun
2023, 45(5): 488-497.  
Abstract HTML(0) PDF(3)
This study proposed a multisource fusion network (MF-Net) that combines visible and infrared images for the inspection of a photovoltaic panel to achieve photovoltaic panel defect detection, defect classification, and localization. The limitations of the traditional methods include low efficiency, low accuracy, and high cost. In this study, a defect detection network was designed based on the backbone of YOLOv3-tiny. Deep layers are added to the network, constituting a dense block structure to augment semantic information on fused feature maps. The detection scale of the network was extended to improve its applicability at different scales. In addition, an adaptive weight fusion strategy was proposed to achieve feature map fusion, where the fusion coefficients can be allocated according to the pixel neighborhood information. Compared with the backbone, the results show that the mAP of our network improved by 7.41%. The performance improves (by approximately 2.14% mAP) when the weighted fusion strategy is replaced with ours, and the significance of the features can be effectively improved. Relative to other networks, the proposed network that takes the fused images as the input has the highest performance in terms of the F1 score (F1=0.86).
Infrared Images with Super-resolution Based on Deep Convolutional Neural Network
YUAN Xilin, ZHANG Baohui, ZHANG Qian, HE Ming, ZHOU Jinjie, LIAN Cheng, YUE Jiang
2023, 45(5): 498-505.  
Abstract HTML(4) PDF(8)
Owing to technical limitations regarding the device and process, the resolution of infrared images is relatively low compared to that of visible images, and deficiencies occur such as blurred textural features. In this study, we proposed a super-resolution reconstruction method based on a deep convolutional neural network (CNN) for infrared images. The method improves the residual module, reduces the influence of the activation function on the information flow while deepening the network, and makes full use of the original information of low-resolution infrared images. Combined with an efficient channel attention mechanism and channel-space attention module, the reconstruction process selectively captures more feature information and facilitates a more accurate reconstruction of the high-frequency details of infrared images. The experimental results show that the peak signal-to-noise ratio (PSNR) of the infrared images reconstructed using this method outperforms those of the traditional Bicubic interpolation method, as well as the CNN-based SRResNet, EDSR, and RCAN models. When the scale factor is ×2 and ×4, the average PSNR values of the reconstructed images improved by 4.57 and 3.37 dB, respectively, compared with the traditional Bicubic interpolation method.
Multiscale Infrared Object Detection Network Based on YOLO-MIR Algorithm
ZHOU Jinjie, JI Li, ZHANG Qian, ZHANG Baohui, YUAN Xilin, LIU Yanqing, YUE Jiang
2023, 45(5): 506-512.  
Abstract HTML(2) PDF(1)
To address the low detection accuracy and poor robustness of infrared images compared with visible images, a multiscale object detection network YOLO-MIR(YOLO for multiscale IR images) for infrared images is proposed. First, to increase the adaptability of the network to infrared images, the feature extraction and fusion modules were improved to retain more details in the infrared images. Second, the detection ability of multiscale objects is enhanced, the scale of the fusion network is increased, and the fusion of infrared image features is facilitated. Finally, a data augmentation algorithm for infrared images was designed to increase the network robustness. Ablation experiments were conducted to evaluate the impact of different methods on the network performance, and the results show that the network performance was significantly improved using the infrared dataset. Compared with the prevalent algorithm YOLOv7, the average detection accuracy of this algorithm was improved by 3%, the adaptive ability to infrared images was improved, and the accurate detection of targets at various scales was realized.
Guidance & Countermeasure
Experimental Analysis of Infrared Cooling Characteristics of Wall-attached Nozzle
FU Yunpeng, FAN Junwei, YANG Weiying, YUAN Jie, LIU Meinan, ZHANG Xiangrui
2023, 45(5): 513-520.  
Abstract HTML(2) PDF(3)
Aiming at the problem of infrared radiation in the 8-14 μm band of ships, a water curtain spray method was adopted to attenuate the infrared radiation intensity of a target, and an infrared thermal imager was employed to build a wall attached nozzle test system. Through comparative design experiments, the influences of different spraying distances, total spray flow rates, and temperatures of the steel plates on the infrared cooling characteristics of the wall nozzles were analyzed. The test results show that when the target steel plate is in the hollow area, and the boundary between the hollow area and the coverage area, the infrared cooling rates are 2.03 and 3.31℃/min, respectively. When the target steel plate was in the coverage area, there were non-overlapping and overlapping areas in the spray. The maximum cooling rate of the non-overlapping area was 6.18℃/min, and the cooling rate of the overlapping area under the same radius was 6.54℃/min. The infrared cooling time in the overlapping zone was 40 s, which was 32 s shorter than that in the non-overlapping zone. Moreover, an increase in the total spray flow resulted in a significant increase in cooling of the steel plate. The higher the initial temperature of the steel plate, the higher the cooling rate of the wall nozzle. In addition, the temperature difference between the steel plates inside and outside the water curtain can reach up to 8.49℃. Studies have shown that the water curtain spray formed by a wall-attached nozzle can effectively cover the surface temperature of the steel plate, reduce the infrared detectability of the ship surface, and realize water curtain spray stealth. These results provide a technical reference for improving the infrared stealth performance of ships.
System & Design
Heat-Dissipation Design for Space Camera High-Power Heat Source
DONG Kuichen, GUO Liang, HUANG Meijiao, LIU Chunyu
2023, 45(5): 521-526.  
Abstract HTML(2) PDF(3)
To solve the difficulty of selecting an appropriate heat sink for complex heat flows, the design of high-power heat sources for space cameras was investigated based on the design principle of reducing the total heat flow to a heat sink. First, the heat flow to a camera was analyzed according to a space environment. Subsequently, by analyzing the heat flow and working mode of the heat source, the efficiency of heat dissipation from the heat source and the area of the radiant cooling plates were reduced by installing radiant cooling plates on both sides of the camera and coupling them through heat pipes. Finally, the thermal analysis was verified using a thermal simulation software based on the camera's space environment and the thermal control measures taken. The simulation results showed that the temperature of the visible focal plane component was -1.9℃ to 12.9℃, the temperature of the infrared camera circuit board was -1.7℃ to 6.7℃, the temperature of the hot end of the chiller was -12℃ to 0.3℃, and the temperature of the chiller compressor was -11.3℃ to 21.3℃. The temperature index requirements were satisfied, and the problem of heat dissipation from the high-power heat source of the camera under complex heat flow was solved.
Athermalization Design of a Low-cost Medium-wave Infrared Optical System Based on Si/Ge Material
HE Lei, WANG Renhao, HOU Bin, SI Hongli, YANG Kejun, HU Haili
2023, 45(5): 527-533.  
Abstract HTML(4) PDF(7)
To realize the low-cost and athermalization design of medium-wave infrared seekers, a high-resolution medium-wave infrared imaging guidance optical system with infrared imaging guidance was designed with low-cost and wide-temperature-range athermalization. The general layout is a two-axis frame; the system chooses one imaging configuration with three pieces of lenses based on Si/Ge material. The detector chooses a Stirling-cooled 640 pixel×512 pixel detector with the pixel size of 15 μm. The prototype design results show that the optical system focal length is 100 mm, field size is 10°×8° at 33 lp/mm, the axis view of the modulation transfer function (MTF) is not less than 0.6, 0.7 field of the off-axis modulation transfer function (MTF) is not less than 0.40, the system distortion is less than 1%, and the efficiency of the cold stop is 100%. Moreover, the narcissus of the system is almost elimination based on pertinence optimization design with fairing. In the temperature range of -40 to 70℃, good image effect was realized. The optical system has the advantages of a simple structure, ease of processing and adjustment, and high yield rate; the imaging quality of the optical system is excellent, and the performance indexes meet the technical specifications.
Optical Aspheric Surface Profile Testing Technology
JIAO Songfeng, XIE Qiming, LIU Yao, WANG Yizhuo, FAN Wei, YOU Jinjing, YANG Yonghua, ZHANG Chengang
2023, 45(5): 534-540.  
Abstract HTML(3) PDF(10)
With the progress of science and technology, cutting-edge products and advanced photoelectric systems have increasingly higher requirements regarding the imaging quality of the optical system. Optical aspheric elements, which are widely used, can effectively correct the aberration, reduce the number of optical elements required by the system, and reduce the weight of the system. Because of the specific surface characteristics, machining and testing such systems are more difficult than for spherical particles; the testing accuracy directly determines the processing accuracy, and the importance of aspheric testing technology is obvious. Herein, the testing technology of optical aspheric surface is summarized according to measuring principle; As direct surface profilometry is widely used in optical aspheric surface machining, combined with the latest testing methods, the measurement technology of aspheric surface direct surface profilometry is mainly introduced; The application of freeform surface and surface profilometry in freeform surface testing, which has attracted increasing attention in recent years, is introduced; Finally, the present situation and development trend of aspheric surface testing technology are summarized.
Screening System of Four-quadrant Detector for Space Application
YAN Wanhong, HAN Zhenwei, ZHANG Hongji, WANG Haifeng, SONG Kefei, CHEN Bo
2023, 45(5): 541-547.  
Abstract HTML(6) PDF(4)
Space science instruments use solar-guide mirror pointing and tracking systems based on four-quadrant photodetectors to achieve precise pointing control of the sun. To satisfy the requirements of high precision and stability, a four-quadrant photodetector screening method for space applications was proposed, and a screening system for the four-quadrant photodetector was developed. By comparing the dark current, responsivity, and quadrant responsivity uniformity of the four-quadrant detector before and after the screening test, the space-environment adaptability of the detector was analyzed according to the discriminant criteria. Additionally, detectors with early failures or large changes in performance can be eliminated. The results show that the developed screening system has high accuracy, and the equivalent input-current noise at the front end of the system is 0.58 fArms. After the screening test, the maximum absolute value of the dark current of each channel of the detector selected according to the evaluation standard was 6.08 pA. The maximum change in the response of each channel was 0.716%, and the maximum change in the response of each quadrant before and after the nonuniformity screening was 1.24%. Finally, the four-quadrant detector was applied to the solar guide mirror pointing and tracking system, and met the requirements of aerospace environmental conditions. The screening device and screening method can be employed to screen four-quadrant photodetectors for space applications, providing significance reference for the screening of other photoelectric devices.
640×512 Frame Transfer EMCCD Camera Timing Sequence Design
SHEN Ji, NA Qiyue, XU Jiandong, CHANG Weijing, ZHANG Wei, JIAN Yunfei
2023, 45(5): 548-552.  
Abstract HTML(4) PDF(4)
An EMCCD camera was introduced to realize 25 fps continuous dynamic imaging with 640×512 resolution under 1×10-3 lx illuminance. Through the construction of the camera hardware platform, as well as the analysis of the EMCCD working timing, AFE working timing, BT.656 encoding, and Camera Link encoding timing, the camera uses FPGA and HDL to generate the corresponding driver timing. This includes EMCCD exposure and readout, AFE-correlated double sampling and optical dark clamping, analog video progressive to interlacing and stretching, and Camera Link parallel to serial conversion. The camera operates under the following conditions: 1×10-3 lx simulated night sky illuminance, 1000× EMCCD gain, 25 mm lens focus, and F1.4; the experimental results demonstrate the imaging frame rate of 25 fps and SNR of 21.8 dB.
Materials & Devices
Calculation of Parameters for Long Wave Infrared FPA Detectors Applied in Low-temperature Background
MAO Jingxiang, GUO Jianhua, LI Lihua, KONG Linglei, WANG Zhengkai
2023, 45(5): 553-559.  
Abstract HTML(7) PDF(19)
For infrared FPA detectors applied to a low-temperature background, the first aspect that must be confirmed in the design stage is whether the performance of the detectors at low temperatures meets the application requirements. Using the basic theoretical formula of the unit detector, from the perspective of testing, the main performance parameters of the theoretical calculation formula for FPA detectors were deduced, including the peak responsivity, noise, peak detectivity, and dynamic range. In addition, flowchart of the calculation design for the detectors was proposed. The main parameters of the long-wave infrared FPA detector at low temperatures were designed, calculated, and verified using an example, and the results are in good agreement with the theoretical calculations. Thus, the theoretical formula and design calculation flow are practical and can provide a reference for designing infrared FPA detectors.
Research Development of Infrared Stealth Materials
SHEN Yulian, LI Chunhai, GUO Shaoyun, CHEN Rong
2021, 43(4): 312-323.  
[Abstract](825) [FullText HTML](263) [PDF 1128KB](283)
Present State and Perspectives of Small Infrared Targets Detection Technology
HOU Wang, SUN Xiao-liang, SHANG Yang, YU Qi-feng
2015, 37(1): 1-10.  
[Abstract](584) [PDF 2162KB](101)
Uncooled Infrared FPA--A Review and Forecast
FENG Tao, JIN Wei-qi, SI Jun-jie
2015, (3): 177-184.  
[Abstract](905) [PDF 1085KB](73)
Research on Influence Factors for Measuring and Method of Correction in Infrared Thermometer
LIAO Panpan, ZHANG Jiamin
2017, 39(2): 173-177.  
[Abstract](311) [PDF 1228KB](46)
Infrared Thermography NDT and Its Development
2018, 40(5): 401-411.  
[Abstract](255) [PDF 1575KB](28)
Developments of High Performance Short-wave Infrared InGaAs Focal Plane Detectors
SHAO Xiumei, GONG Haimei, LI Xue, FANG Jiaxiong, TANG Hengjing, LI Tao, HUANG Songlei, HUANG Zhangchen
2016, 38(8): 629-635.  
[Abstract](395) [PDF 900KB](40)
中科院上海技物所近十年来开展了高性能短波红外 InGaAs 焦平面探测器的研究。0.9~1.7?m近红外 InGaAs 焦平面探测器已实现了256×1、512×1、1024×1等多种线列规格,以及320×256、640×512、4000×128等面阵,室温暗电流密度<5 nA/cm2,室温峰值探测率优于5×1012 cm?Hz1/2/W。同时,开展了向可见波段拓展的320×256焦平面探测器研究,光谱范围0.5~1.7?m,在0.8?m 的量子效率约20%,在1.0?m 的量子效率约45%。针对高光谱应用需求,上海技物所开展了1.0~2.5?m 短波红外 InGaAs 探测器研究,暗电流密度小于10 nA/cm2@200 K,形成了512×256、1024×128等多规格探测器,峰值量子效率高于75%,峰值探测率优于5×1011 cm?Hz1/2/W。
Infrared Image Detail Enhancement Algorithm Based on Hierarchical Processing by Guided Image Filter
GE Peng, YANG Bo, HAN Qinglin, LIU Peng, CHEN Shugang, HU Douming, ZHANG Qiaoyan
2018, 40(12): 1161-1169.  
[Abstract](209) [PDF 2514KB](30)
Read Out Integrated Circuit for Third-Generation Infrared Focal Plane Detector
BAI Pi-ji, YAO Li-bin
2015, (2): 89-96.  
[Abstract](782) [PDF 738KB](72)
对红外探测器不断增长和提高的需求催生了第三代红外焦平面探测器技术。根据第三代红外探测器的概念,像素达到百万级,热灵敏度NETD达到1 mK量级是第三代制冷型高性能红外焦平面探测器的基本特征。计算结果表明读出电路需要达到1000 Me-以上的电荷处理能力和100 dB左右的动态范围(Dynamic Range)才能满足上述第三代红外焦平面探测器需求。提出在像素内进行数字积分技术,以期突破传统模拟读出电路的电荷存储量和动态范围瓶颈限制,使高空间分辨率、高温度分辨率及高帧频的第三代高性能制冷型红外焦平面探测器得到实现。
Research Review of 3D Cameras Based on Time-of-Flight Method
WEI Jiali, QU Huidong, WANG Yongxian, ZHU Junqing, GUAN Yingjun
2021, 43(1): 60-67.  
[Abstract](527) [FullText HTML](120) [PDF 549KB](132)
Infrared Image Denoising Method Based on Improved Non-local Means Filter
GUO Chenlong, ZHAO Xuyang, ZHENG Haiyan, LIANG Xining
2018, 40(7): 638-641.  
[Abstract](102) [PDF 982KB](14)
提出了一种基于梯度信息的结构相似性算法改进的红外图像非局部均值滤波方法.传统的非局部均值滤波算法采用欧氏距离度量图像块之间的相似性,因而不能够很好地衡量图像细节和边缘信息,导致滤波后图像模糊失真.针对此问题,采用结构相似性度量(structural similarity,SSIM)算法对欧氏距离进行加权改进,针对普通的SSIM边缘信息评价能力的不足,提出了带有梯度信息的GSSIM算法,实验结果表明本方法在保持非局部均值(Non-Local Means,NLM)滤波算法去噪能力的同时还能够较好地保持图像的边缘和细节信息.
Research Progress and Application of Polarization Imaging Technology
ZHOU Qiangguo, HUANG Zhiming, ZHOU Wei
2021, 43(9): 817-828.  
[Abstract](1207) [FullText HTML](746) [PDF 1293KB](746)
The advantage of polarization imaging technology is that it expands the amount of information from three degrees of freedom, namely light intensity, spectrum, and space, to seven degrees of freedom, including light intensity, spectrum, space, degree of polarization, polarization azimuth, polarization ellipticity, and direction of rotation. This richness of observational information is conducive to improving the accuracy of research target detection. This article first introduces the research progress of polarization imaging technology at home and abroad in recent decades, then introduces the typical applications of polarization technology in military and civilian fields, and finally provides reasonable suggestions on the problems of polarization imaging technology in our country.
Review of Infrared Image Edge Detection Algorithms
HE Qian, LIU Boyun
2021, 43(3): 199-207.  
[Abstract](694) [FullText HTML](454) [PDF 758KB](454)
To ensure that researchers are well-informed regarding infrared image edge detection algorithms and to provide a valuable reference for follow-up investigations, we review relevant research conducted on infrared image edge detection algorithms in the past ten years. First, infrared imaging and edge detection technology are summarized, and then, the difficulties and challenges of infrared image edge detection algorithms are described. Finally, the main infrared image edge detection algorithms are summarized, and the related algorithms are divided into four categories: improved classic edge detection operator-based algorithms, ant colony algorithm-based algorithms, mathematical morphology-based algorithms, and network model-based algorithms. Considering traditional infrared image edge detection algorithms, the morphological method has potential because of its simplicity and ease of use; for non-traditional infrared image edge detection algorithms, the method based on deep learning has stronger pertinence, better robustness, and no requirement of designing complex algorithm steps, which brings new development opportunities to infrared image edge detection.

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Monthly, Established 1979

Competent Authorities:China North Industries Group Corporation

Sponsored by:Kunming Institute of Physics
China Ordnance Society, Speciality



Postal distribution code:64-26

Editorial Office:No.31 Jiao Chang Dong Road, Kunming, 650223, China


Infrared technology is one of the earliest photoelectronic journals in China.Infrared Technology is published by Science Press, and it is a single monthly technical journal.

Infrared Technology is a professional and academic journal based on scientific research, which comprehensively reflects the research progress of infrared technology at home and abroad and its application in national defense, industry, agriculture and national economy.After years of efforts, INFRARED Technology has become the core journal of Chinese, The core journal of Chinese science and technology, and the source journal of Chinese Science citation database.

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