A Genetic Algorithm Approach to Optimize Parameters in Infrared Guidance System

摘要: In the infrared guidance system, the gray level threshold is key for target recognition. After thresholding, a target in the binary image is distinguished from the complex background by three recognition features. Using a genetic algorithm, this paper seeks to find the optimal parameters varied with different sub-images to compute the adaptive segmentation threshold. The experimental results reveal that the GA paradigm is an efficient and effective method of search.
- Guidance System /
- target recognition /
- optimal parameters /
- genetic algorithm /
- guidance system /
- binary image /
- gray level /
- method of