摘要
图像边缘包含非常重要的图像信息,针对图像处理中的模糊边缘检测存在的缺陷,将免疫学中的克隆选择理论引入量子遗传算法,利用这种新的混合量子遗传算法对图像阈值进行优化得到最佳阈值,改进模糊边缘的检测算法。通过测试图像的边缘检测结果表明,该算法具有较好的检测模糊边缘和抑制噪声能力,用于边缘检测能获得良好的效果。
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.
出处
《现代计算机》
2014年第1期31-34,共4页
Modern Computer
关键词
模糊边缘
边缘检测
量子遗传算法
隶属度函数
Fuzzy Edge
Edge Detection
Quantum Genetic Algorithm
Membership Function
