染色体图像的边缘检测方法

Yan Wenzhong, Shen Shuqun
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引用次数: 6

摘要

染色体图像的边缘检测是染色体自动分析系统中的一个重要步骤。染色体图像边缘检测的关键是检测出更多的边缘细节,最大程度地降低噪声的影响。基于此,本文提出了一种基于迭代阈值和数学形态学的边缘检测方法。首先,采用迭代阈值算法增强染色体边缘和图像对比度;然后,应用轮廓提取算法检测图像中染色体的边缘。实验结果表明,该算法对染色体图像的边缘检测比常用的微分算子更有效。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An Edge Detection Method for Chromosome Images
Edge detection for chromosome images is an important step in automated chromosome analysis system. The key of edge detection for chromosome image is to detect more edge details, reduce the noise impact to the largest degree. According to this, an edge detection method based on iterative thresholding and mathematic morphology is proposed in this paper. Firstly, the iterative thresholding algorithm is applied to enhance both the edges of the chromosomes and the contrast of the image. Then, the contour extracting algorithm is applied to detect the edges of the chromosomes in the image. The experimental results show that the proposed algorithm is more efficient for chromosome image edge detection than the usually used differential operators.
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