计算机工程与应用Issue(18)：224-228,5.DOI:10.3778/j.issn.1002-8331.1309-0270
基于top-hat变换与形状特征的蛋白点检测
Protein spots detection method based on top-hat transform and shape characteristics
摘要
Abstract
In order to detect the faint and overlapped protein spots in protein gel images, a new approach based on the top-hat transform and shape characteristics is proposed. Top-hat transform is used to enhance faint protein spots region. A marker-controlled watershed algorithm is used to detect the initial outline of the protein spots. Then, shape markers are adaptively extracted by shape characteristics information, and the shape distance image is calculated according to these shape markers. The watershed algorithm is applied again on the shape distance image to separate the overlapped spots. The results of the experiments on different types of real gel images show that the algorithm has higher detection accuracy and better overlapped spots separation rate. It also obtains better detection results from low quality gel images.关键词
凝胶图像/top-hat变换/弱蛋白质点/重叠蛋白质点/形状标记Key words
gel images/top-hat transform/faint protein spots/overlapped protein spots/shape markers分类
医药卫生引用本文复制引用
熊邦书,黄周伟,余磊,张郝东..基于top-hat变换与形状特征的蛋白点检测[J].计算机工程与应用,2015,(18):224-228,5.基金项目
国家自然科学基金（No.61163047）；江西省自然科学基金（No.20114BAB201036）；江西省工业支撑计划项目（No.2010GB00405）；江西省研究生创新基金（No.YC2013-S219）。 （）
