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基于均匀色差的彩色图像分割方法
引用本文:王小青,位军,陈素军. 基于均匀色差的彩色图像分割方法[J]. 兵工自动化, 2006, 25(10): 42-43,46
作者姓名:王小青  位军  陈素军
作者单位:1. 中国兵器工业第五八研究所,军品部,四川,绵阳,621000
2. 西北工业大学,电子信息学院,陕西,西安,710072
3. 燕山大学,信息工程学院,河北,秦皇岛,066000
摘    要:基于均匀色差的彩色图像分割方法,结合模式识别理论的自动聚类彩色图像分割.其图像首先被转化到L*a*b*颜色空间,进行初始化并确定聚类中心.然后计算像素到聚类中心的色差,进行聚类.之后计算新的聚类中心,反复迭代,直到符合终止条件,得到最终分割结果.实验证明,该方法可很好实现彩色图像的自动分割.

关 键 词:均匀色差  彩色图像分割  L*a*b*颜色空间  聚类中心  均匀  色差  彩色  图像分割  分割方法  Average  Based  Image Segmentation  自动分割  验证  结果  条件  反复迭代  像素  计算  聚类中心  初始化  颜色空间  转化  模式识别理论
文章编号:1006-1576(2006)10-0042-02
收稿时间:2006-05-24
修稿时间:2006-05-242006-08-16

Color Image Segmentation Based on Average Color-Difference
WANG Xiao-qing,WEI Jun,CHEN Su-jun. Color Image Segmentation Based on Average Color-Difference[J]. Ordnance Industry Automation, 2006, 25(10): 42-43,46
Authors:WANG Xiao-qing  WEI Jun  CHEN Su-jun
Abstract:Based on the color-difference, the color image segmentation combined with the automatic clustering color image segment of mode identification theory. Its images were transformed into the L*a*b* color space at first, and carried out the initialization and ensured the clustering center. Then, the color-differences between picture elements and clustering center was calculated and carried out the clustering. After that, the new clustering center was calculated and iterated, till they fitted the stop conditions and divided the results at last. The results showed that this approach could realize the auto segment of color image effectively.
Keywords:Average color-difference  Color image segmentation  L*a*b* color space  Clustering center
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