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| Hough transformation based analysis technique for zebrafish embryo images |
| XU Xiao-yan1, XIA Shun-ren1, LIU Tian-ming2, WONG Stephen T C2 |
(1. Key Laboratory of Biomedical Engineering of Ministry of Education, Zhejiang University, Hangzhou 310027, China;
2. Center for Bioinformatics, Harvard Center for Neurodegeneration and Repair, Harvard Medical School, Boston, USA) |
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Abstract An analysis technique based on patched zebrafish embryo microscopic images was proposed to develop a computerized tool for zebrafish image analysis and quantitation. Three morphological features: lengths, head-trunk angles and tail curvatures of zebrafish embryos were obtained. First, morphological operations were used to segment the zebrafish embryo from the background. Then, its central line was extracted by using the binary image thinning algorithm. At last, three features were calculated. As for the tail curvatures, the modified circular Hough transformation was applied to remove the head of the fish, then the curved skeleton of the tail was regressed onto a straight line by using the least area method. The root mean squared error (RMSE) which represented the averaged distance between the skeleton curve and the regressed line was used as the third feature. Experimental results show that the computerized analysis technique has high accuracy and runs fast．
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Published: 01 November 2009
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基于Hough变换的斑马鱼胚胎图像分析技术
在拼接后的斑马鱼胚胎显微图像基础上提出胚胎图像分析算法,以确定斑马鱼胚胎的3个形态特征：长度、头-干夹角以及尾部弯曲度.采用形态学方法将斑马鱼胚胎从背景中分割出来,然后采用二值细化算法提取它的中心线,最后测量上述形态特征.在测量尾部弯曲度时,采用环形Hough变换法去除胚胎头部,再由最小面积法将尾部曲线回归成一条直线,引入表示尾部曲线与回归直线间平均距离的均方根误差来表征尾部的弯曲度.实验结果表明,该自动分析技术处理速度较快,可以获得准确的形态参数值.
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