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一种改进型边缘检测的混合量子遗传算法
引用本文:朱洁,左欣,王朋. 一种改进型边缘检测的混合量子遗传算法[J]. 电脑与微电子技术, 2014, 0(1): 31-34
作者姓名:朱洁  左欣  王朋
作者单位:[1]正德职业技术学院电子与信息技术系,南京211106 [2]江苏科技大学计算机科学与工程学院,镇江212003 [3]南京军区南京总医院放疗科,南京210002
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。

关 键 词:模糊边缘  边缘检测  量子遗传算法  隶属度函数

An Improved Hybrid Quantum Genetic Algorithm for Edge Detection
ZHU Jie,ZUO Xin,WANG Peng. An Improved Hybrid Quantum Genetic Algorithm for Edge Detection[J]. , 2014, 0(1): 31-34
Authors:ZHU Jie  ZUO Xin  WANG Peng
Affiliation:1. Department of Electronics and Information Technology, Zhengde Polytechnic College, Nanjing 211106 2. School of Computer Science and Engineering, JUST, Zhenjiang 212003; 3. Department of Radiotherapy, General Hospital of Nanjing Military Area Command, Nanjing 210002)
Abstract: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.
Keywords:Fuzzy Edge  Edge Detection  Quantum Genetic Algorithm  Membership Function
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