摘要
针对传统区域生长算法分割彩色复杂背景图像存在的过分割问题，笔者提出了一种基于 HIS 颜色模型分割图像的新算法。该算法首先提取 HIS 颜色模式的 H 分量，对 H 分量运用形态学方法进行降噪处理，之后使用最大类间方差法对 H 分量图像分割出前景部分；然后使用区域生长法对前景部分继续进行分割；最后对分割后图像运用形态学腐蚀方法去除分割中产生的碎片。实验结果表明，该算法能较完整的将目标图像分割出来，具有更好的分割效果。
Aiming at the over - segmentation problem of traditional image segmentation based on region growing algorithm with complex background,we propose a new method for segmenting image based on the HIS color model. Firstly,we extract the H component of HIS color model,and apply the OTSU method to perform preliminary segmentation to get the foreground part of the H component on the base of morphology denoising. Secondly,the region growing method is continually used for segmenting the foreground part. Finally,morphology of corrosion method is used to remove the debris. The experimental results show that this algorithm can segment the target image more completed and with better results.
出处
《山东师范大学学报（自然科学版）》
CAS
2015年第3期49-52,共4页
Journal of Shandong Normal University(Natural Science)
关键词
图像分割
HIS
颜色模型
区域生长法
形态学
image segmentation
HIS color model
region growing method
morphology
