摘要
提出了一种基于分水岭的彩色图像分割算法。首先采用同类组滤波技术对彩色图像进行保边缘的平滑,结合梯度图和二阶矩图提取一种反映了图像更精细局部信息的均匀性图,然后利用经典分水岭算法进行初始分割,分别就区域面积和Fisher距离分两步进行区域合并,结合信息损失和区域数目关系导出的颜色散度增量作为自动终止合并的策略。实验结果表明了该算法的有效性。
A novel algorithm based on watershed for color image segmentation was presented. The original color image was initially smoothed using peer group filtering in order to preserve the location of the edges. A homogeneity image was defined, which integrated gradient with local second-order moment information, rendered more local information, and then was segmented using traditional watershed algorithm to yield mosaic image. A two-step region merging was carried out aeeording to region area and Fisher distance. Color diversion increment deduced from relationship between information lost and the number of regions retained was adopted as automatic terminate strategy to refine the result of segmentation. Experiment results show the effectiveness of the method.
出处
《计算机应用》
CSCD
北大核心
2006年第6期1378-1380,共3页
journal of Computer Applications
基金
教育部留学回国人员科研启动基金资助项目(212152457)
关键词
图像分割
分水岭
均匀性
Fisher距离
区域合并
区域连通图
颜色散度增量
image segmentation
watershed
homogeneity
fisher distance
region merging
Region Adjacency Graph（RAG）
color diversion increment
