基于模糊形态学和分水岭算法的图像分割研究  

Image Segmentation Based on Fuzzy Mathematical Morphology and Watershed Algorithm

作　　者：陈婷婷[1] 

机构地区：[1]西南大学计算机与信息科学学院,重庆北碚400715

出　　处：《软件导刊》2007年第11期133-135,共3页Software Guide

摘　　要：提出了一种基于模糊形态学和形态分水岭算法的图像分割方法,利用模糊形态学闭开运算先平滑原始图像,图像通过平滑后在保留重要区域轮廓的同时去除了细节和噪声,而后进行形态分水岭变换实现图像分割。实验结果表明这种方法具有较好的分割效果。Image segmentation is one of basic problems in image processing and computer vision, and is a key step in image processing and image analysis. Based on the detailed analysis for current approaches,a methed based on fuzzy mathematical mor- phology was advanced for image segmentation in the paper.Firstly,fuzzy mathematical morphology closing and opening operators were employed to smooth original image. Through image smoothness,important region contours were preserved while most small regular details and noise are removed. Secondly the watersh ed transformation was used to implement image segmentation. Ex- perimental results prove that it gets good segmentation effect.

关 键 词：图像分割 模糊形态学 分水岭算法 MATLAB 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]