| 模糊聚类的遗传算法在图像压缩中的应用 |
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| 引用本文： | 张勇昌.模糊聚类的遗传算法在图像压缩中的应用[J].徐州建筑职业技术学院学报,2011,11(3):55-58. |
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| 作者姓名： | 张勇昌 |
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| 作者单位： | 江苏建筑职业技术学院基础课教学部,江苏徐州,221116 |
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| 基金项目： | 江苏建筑职业技术学院自然科学基金项目 |
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| 摘 要： | 图像压缩的关键在于对图像中相似取样点的选择和处理.用基于图像像素的遗传聚类算法对3D图像分析选择样本,通过FCM算法得到一个有序的像素序列,然后进行聚类获得压缩.实验表明,运用模糊聚类分析法能够有效降低压缩算法的复杂度,并能达到预期的图像压缩效果.
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| 关 键 词： | 遗传算法 模糊C-均值 图像压缩 聚类 模糊隶属矩阵 |
Application of Genetic Algorithms Using Fuzzy Clustering in Image Compression |
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| ZHANG Yong-chang.Application of Genetic Algorithms Using Fuzzy Clustering in Image Compression[J].Journal of XUZHOU Institute of Architectural Technology,2011,11(3):55-58. |
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| Authors: | ZHANG Yong-chang |
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| Affiliation: | ZHANG Yong-chang(Department of General Education,Jiangsu Jianzhu Institute,Xuzhou,Jiangsu 221116,China) |
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| Abstract: | The key of image compression is selecting and processing of similar sample points in images.3D image analysis sample is selected by using genetic clustering algorithms based on the pixels of the image.An ordered pixel sequence is obtained through FCM algorithms and compression is obtained through clustering.The experiment shows that we can decrease the complexity of compression algorithms by fuzzy clustering analysis and achieve expected image compression result. |
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| Keywords: | genetic algorithms fuzzy c-means image compression clustering fuzzy membership matrix |
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