基于改进分水岭的图像分割算法研究  

Image Segmentation Based on Improved Watershed Algorithm

作　　者：张晴晴[1] 张善文[1] 齐国红[1] 

机构地区：[1]郑州大学西亚斯国际学院,河南新郑451150

出　　处：《安徽农业科学》2013年第29期11890-11892,共3页Journal of Anhui Agricultural Sciences

基　　金：国家自然科学基金项目(61272333);郑州市科技攻关计划项目(131PPTGG426);校引进人才项目(2012YJRC01;2012YJRC02)

摘　　要：针对传统的分水岭算法由于受到图像细节和噪声的干扰而存在着过分割现象,提出了一种改进的分水岭算法,并应用于图像分割。该算法首先采用双边滤波进行预处理,然后建立形态学梯度并对梯度图像进行开闭重建,在保留了轮廓极值信息的同时去除了噪声,最后对重建的梯度图像进行前景和背景的标记,依据标记对梯度图像进行修正并用分水岭算法对其进行分割。结果表明,该方法能有效抑制传统分水岭的过分割现象。Because of image details and noise interference, the traditional watershed transformation exist over-segmenta!ion. Therefore, an improved watershed image segmentation algorithm was put forward based on the traditional watershed algorithm. Firstly, it ＇ s preprocessed with bilateral filtering. Secondly, morphological double opening and closing reconstruction is performed after the morphological gradient＇ s calcula- tion, which keeps the outline of extreme value information and eliminates the noise. Then the reconstruction gradient image is marked with the prospects and backgrounds. According to the marks, the gradient image is amended. Finally, the watershed transformation of the modified gra- dient image is performed to achieve the segmentatlon. The results showed that the improved watershed algorithm can effectively restrain the o- ver-segmentation phenomenon.

关 键 词：双边滤波 形态学梯度 开闭重建 标记分水岭 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]