摘要
提出了一种新的结合了颜色特征与区域生长的彩色图像分割算法B-JSEG.该算法是在彩色图像分割的JSEG算法和边缘检测中的方向算子的基础上实现的.根据已有算法的缺陷,利用新的参数描述纹理颜色信息,并通过区域增长和合并来获得最后的分割结果.由于在JSEG算法中加入了方向算子,同时考虑了区域的相似性和边界的非连续性,减少了过分割.大量图像的实验结果表明,所提出的算法具有很好的鲁棒性,比JSEG算法更符合人类的视觉感知.
This paper discussed a novel segmentation algorithm B-JSEG for color images based on color information and region growing. This method is proposed on the base of JSEG, a popular method in segmentation of color images, and directional operators for edge detection in images. Compared with other methods existed, new parameters are used to characterize the property of color-texture images in the proposed method. With the aim of alleviating over-segmentation, directional operators are integrated into the JSEG method to take account of both homogeneity and discontinuity in regions. It is shown from the experiments on large amounts of images that the proposed method is robust and able to match better with human＇s perception than JSEG.
出处
《上海交通大学学报》
EI
CAS
CSCD
北大核心
2007年第5期802-806,812,共6页
Journal of Shanghai Jiaotong University
关键词
彩色图像分割
方向算子
边缘检测
区域生长
color image segmentation
directional operators
edge detection
region growing
