CAJ | 학술논문

针对凝胶图像中蛋白质点检测存在弱蛋白质点漏检和重叠蛋白质点难分离的问题，提出了一种基于top-hat变换与形状特征的弱重叠蛋白质点检测算法。采用top-hat变换算法增强弱蛋白质点区域；采用标记控制分水岭法进行粗检测，提取蛋白质点的初始轮廓；根据蛋白质形状特征，自适应设定阈值提取蛋白质点形状标记，并利用提取的标记计算形状距离图；采用基于形状距离的分水岭方法，分离重叠蛋白质点。通过不同类型真实凝胶图像的蛋白质点检测实验，结果表明，该算法具有较高的检测精度和重叠蛋白质点分离率，而且对质量不好的凝胶图像也有较好的检测效果。
침대응효도상중단백질점검측존재약단백질점루검화중첩단백질점난분리적문제，제출료일충기우top-hat변환여형상특정적약중첩단백질점검측산법。채용top-hat변환산법증강약단백질점구역；채용표기공제분수령법진행조검측，제취단백질점적초시륜곽；근거단백질형상특정，자괄응설정역치제취단백질점형상표기，병이용제취적표기계산형상거리도；채용기우형상거리적분수령방법，분리중첩단백질점。통과불동류형진실응효도상적단백질점검측실험，결과표명，해산법구유교고적검측정도화중첩단백질점분리솔，이차대질량불호적응효도상야유교호적검측효과。
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.