An Improved Hybrid Quantum Genetic Algorithm for Edge Detection
The edge of image contains many important information, in order to overcome the shortcomings of fuzzy edge detection problem, introduces the concept and principle of clonal selection in immunology into the QGA, presents a scheme for optimal thresholding by using hybid quantum algorithm, and makes some improvement to the fuzzy edge detection algorithm. Conducts the experiment on test images and the results show that this algorithm is good at edge detection and noise restraint. It can get better results for the edge detection.