基于圆度判别的生物芯片图像倾斜校正算法  

The Biochip Image Tilt Correction Algorithm Based on Roundness Criterion

作　　者：郭治卿 贾振红[1] 杨杰[2] Nikola Kasabov 

机构地区：[1]新疆大学信息科学与工程学院,乌鲁木齐830046 [2]上海交通大学图像处理与模式识别研究所,上海200240 [3]新西兰奥克兰理工大学知识工程与发现研究所

出　　处：《激光杂志》2017年第6期58-61,共4页Laser Journal

基　　金：教育部促进与美大地区科研合作与高层次人才培养项目(20101595);国家自然科学基金(61665012)

摘　　要：针对现有生物芯片荧光图像倾斜校正算法所存在计算速度较慢的问题,本文提出了一种基于圆度判别思想的倾斜校正算法。算法对荧光图像进行预处理,并获取二值图像中类圆形样点对象的轮廓边缘,再根据圆度判断出一行中最接近圆的两个类圆形样点,取其质心并计算出连接两个质心的直线斜率,从而得出荧光图像的倾斜角度并对其进行校正。实验证明,本文所提出的算法在计算速度上有着明显的提高,尤其在处理大尺寸的荧光图像时,计算时间只有略微增加,校准误差较小,可应用于大量生物芯片荧光图像的校正。In order to solve the problem of low speed computing in the algorithm of biochip image tilt correction, an algorithm is proposed which is based on roundness discrimination. The algorithm takes pretreatment to the fluores- cent image. Then it gets the contour edge of spots in binary images, and determines the spots which is most similar with the circle in a row according to the roundness. The linear slope of the two centroids is calculated by taking the center of mass. So that the inclination angle of the fluorescence image is obtained and the image is corrected. Experi- mental results show that the proposed algorithm can significantly improve the computing speed, especially when dealing with larger size images, the computing time of the algorithm increases slightly and calibration error is small. The above -mentioned algorithm can be applied to the calibration of a large number of biological chips.

关 键 词：生物芯片 荧光图像 倾斜校正 圆度判定 

分 类 号：TN911[电子电信—通信与信息系统]