| 基于遗传算法的二维最大类间方差图像分割算法 |
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| 引用本文： | 王军强,高雅,杨数强.基于遗传算法的二维最大类间方差图像分割算法[J].微计算机应用,2011,32(8). |
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| 作者姓名： | 王军强 高雅 杨数强 |
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| 作者单位： | 洛阳师范学院物理与电子信息学院 河南471000 |
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| 基金项目： | 洛阳师范学院青年科研基金项目(10000872) |
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| 摘 要： | 为解决传统二维最大类间方差(Otsu)阈值分割算法处理图像时计算复杂度高、实时性差、易受噪声干扰等问题,本文将遗传算法应用到二维Otsu法中,提出一种基于遗传算法的最大类间方差法的灰度图像分割算法.二维Otsu算法考虑了图像的灰度信息及邻域空间的相关信息,以保证图像分割的精度；利用遗传算法则能提高运算速度.因此,基于遗传算法的最大类间方差法的灰度图像分割算法兼有二者优点,不仅提高运算速度而且能保证图像分割精度.
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| 关 键 词： | 图像分割 二维Otsu法 遗传算法 |
Algorithm of for 2D Maximum Between- Cluster Image Segmentation Based on GA |
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| WANG Junqiang,GAO Ya,YANG Shuqiang.Algorithm of for 2D Maximum Between- Cluster Image Segmentation Based on GA[J].Microcomputer Applications,2011,32(8). |
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| Authors: | WANG Junqiang GAO Ya YANG Shuqiang |
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| Affiliation: | WANG Junqiang,GAO Ya,YANG Shuqiang(College of Physics and Electronic Information,Luoyang Normal University,Henan,471022,China) |
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| Abstract: | The traditional two-dimensional maximum between-cluster variance method(0tsu) threshold segmentation algorithm has the high computation complexity,poor real-time and noise sensitivity in processing image.In this paper,to solve these problems,a 2-D Otsu method based on an improved genetic algorithm(GA) was improved,and lay the emphases on the gray image segmentation method that combine the genetic algorithm and the Otsu method.The 2-D Otsu method not only consider the gray information of the image,but also t... |
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| Keywords: | Otsu method image segmentation GA |
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