基于小波分析的胃上皮细胞自适应分割算法  

Gastric epithelial cell adaptive segmentation based on wavelet transform

作　　者：甘岚[1] 刘梦清[1] 

机构地区：[1]华东交通大学信息工程学院,江西南昌330013

出　　处：《计算机工程与设计》2012年第7期2734-2738,共5页Computer Engineering and Design

基　　金：国家自然科学基金项目(61163040)

摘　　要：针对胃上皮癌变细胞结构复杂和粘连现象严重的特点,提出了一种将多尺度小波变换和改进的大津法相结合的分割方法。该方法对图像进行多分辨率分解,通过小波分解的高频信息计算出独立峰的个数,利用改进的大津法确定相邻独立峰之间的最优阈值。实验结果表明,该方法具有计算简单、自适应性强、精确度高的优点,能有效地实现胃上皮肿瘤细胞图像的分割。In view of characteristics of complex structure and serious adhesion phenomenon of Gastric epithelium cancerous cells, a new segmentation based on multi-scale wavelet analysis integrated with improved Otsu is brought forward. Firstly the method gets multi-resolution decomposition of images. Then using the high-frequency of wavelet decomposition the number of indepen- dent peaks are calculated. Finally, using improved Otsu the optimal threshold of the adjacent independent peaks are determined. Experiment indicts that this method is simple, the self-adaptability and effective. Segrnentatioin＇ s results is satisfied with de mand of gastric epithelial cells＇ segmental demand.

关 键 词：胃上皮细胞分割 小波变换 改进的大津法 多分辨率 最优阈值 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]