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首页> 外文期刊>Pattern Recognition: The Journal of the Pattern Recognition Society >Using dominant points and variants for profile extraction from chromosomes
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Using dominant points and variants for profile extraction from chromosomes

机译:使用优势点和变体从染色体中提取谱图

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摘要

The most accurate methods for automatic analysis of chromosomes under a light microscope today extract numerical features from band-pattern profiles along their longitudinal axes. The construction of a reliable axis is a crucial step in this process. We propose a new way based on the dominant points of the contour and cubic splines. The dominant points serve as candidates for the tips of the chromosome. Ambiguities are dissolved by the recently developed method of variants for object, identification. A Voronoi diagram decomposes the chromosome in slices for profile extraction. The method improves the currently best classification results significantly yielding a test-set error rate of 0.61%. (C) 2001 Pattern Recognition Society. Published by Elsevier Science Ltd. All rights reserved. [References: 40]
机译:当今,在光学显微镜下自动分析染色体的最准确方法是从带状谱的纵轴上提取数值特征。构建可靠的轴是此过程中的关键步骤。我们提出了一种基于轮廓和三次样条曲线支点的新方法。优势点充当染色体尖端的候选者。通过最近开发的用于对象识别的变体方法消除了歧义。 Voronoi图将切片中的染色体分解以提取轮廓。该方法显着改善了当前最好的分类结果,从而产生了0.61%的测试设置错误率。 (C)2001模式识别学会。由Elsevier Science Ltd.出版。保留所有权利。 [参考:40]

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