|
|||||
|
|
| 基于遗传优化的图像增强模糊算法 | |
| 引用本文： | 罗兵, 陈恒法, 邓虹. 基于遗传优化的图像增强模糊算法[J]. 华南师范大学学报（自然科学版）, 2007, (1): 32. |
| 作者姓名： | 罗兵 陈恒法 邓虹 |
| 作者单位： | 华南师范大学南海学院计算机系,广东南海,528225;华南师范大学南海学院计算机系,广东南海,528225;华南师范大学南海学院计算机系,广东南海,528225 |
| 摘 要： | 将协同进化遗传算法(CGA)应用于图像增强的模糊算法优化,以优化模糊逻辑处理效果.在CGA算法中,同时优化选择了模糊逻辑规则、最佳隶属度函数和优化了隶属度函数的参数.通过具体图像处理实验,在客观评价上证明了本方案的有效性. |
| 关 键 词： | 图像处理 协同进化遗传算法 模糊逻辑 图像增强 优化 |
| 文章编号： | 1000-5463（2007）01-0032-05 |
| 修稿时间： | 2006-04-04 |
IMAGE ENHANCEMENT BASED ON FUZZY LOGIC OPTIMIZED BY CGA |
|
| LUO Bing,CHEN Heng-fa,DENG Hong. IMAGE ENHANCEMENT BASED ON FUZZY LOGIC OPTIMIZED BY CGA[J]. Journal of South China Normal University(Natural Science Edition), 2007, 0(1): 32-36 | |
| Authors: | LUO Bing CHEN Heng-fa DENG Hong |
| Affiliation: | Nanhai College, South China Normal University, Nanhai, Guangdong 528225, China |
| Abstract: | Co-Genetic Algorithm(CGA) is applied to optimization for fuzzy image processing.In evolution,fuzzy rules and membership functions as well as parameters of the functions were co-evolving and interacting.Mean Square Error between processed image and non-noise one was adopted as genetic fitness.Experimental results showed that this approach was objectively effective. |
| Keywords: | image processing CGA fuzzy logic image enhancement optimization |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ | |
| 点击此处可从《华南师范大学学报(自然科学版)》浏览原始摘要信息 | |
| 点击此处可从《华南师范大学学报(自然科学版)》下载全文 | |