| 一种不受光照和阴影影响的图像边缘检测方法 |
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| 引用本文： | 张金霞.一种不受光照和阴影影响的图像边缘检测方法[J].兰州理工大学学报,2007,33(3):100-103. |
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| 作者姓名： | 张金霞 |
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| 作者单位： | 青海大学,水利电力工程系,青海,西宁,810016 |
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| 基金项目： | 教育部“春晖”计划科研启动资金(02022) |
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| 摘 要： | 对于灰度图像和使用越来越多的彩色图像,已有的算法中存在着边缘检测效果不理想、计算复杂以及对光照或阴影的敏感等问题.针对于此,提出用主成分分析算法对灰度图像进行边缘提取;对于彩色图像,提出先用独立成分分析算法得出一幅具有全局特性的灰度图,再利用主要成分分析算法进行边缘特征提取.检测实验结果显示边缘特征清晰,计算简单,且不受光照和阴影的影响.
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| 关 键 词： | 主成分分析 独立成分分析 边缘检测 |
| 文章编号： | 1673-5196（2007）03-0100-04 |
| 修稿时间： | 2006-10-23 |
A image edge extraction method free from influence of illumination and shadow |
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| ZHANG Jin-xia.A image edge extraction method free from influence of illumination and shadow[J].Journal of Lanzhou University of Technology,2007,33(3):100-103. |
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| Authors: | ZHANG Jin-xia |
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| Institution: | Hydroelectric Department;Qinghai University;Xining 810016;China |
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| Abstract: | Image edge feature extraction plays an important role in image analysis and recognition.For gray image and color image ever-increasing in use,there have been some edge feature extraction methods.There were,however,some problems with them that extraction result was complicated and the image edge was sensitive to the illumination and shadow.Therefore,a new gray edge detection method was proposed base on principal component analysis(PCA) algorithm.For the color image,an independent component analysis(ICA) algo... |
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| Keywords: | principal component analysis independent component analysis edge feature extraction |
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