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AN IMAGE PROCESSING ALGORITHM FOR ACCURATE EXTRACTION OF THECENTERLINE FROM HUMAN METAPHASE CHROMOSOMES

机译:一种用于精确提取人类中期染色体的脑内的图像处理算法

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The study of human metaphase chromosomes is an important aspect in clinical diagnosis of genetic disorders. Although many image processing techniques have been developed for chromosomal karyotyping to assist in laboratory diagnosis, they fail to provide reliable results in segmenting and extract-ing the centerline of chromosomes due to their shape variabil-ity when placed on microscope slides. In this paper we pro-pose a hybrid algorithm that uses Gradient Vector Flow active contours, Discrete Curve Evolution based skeleton pruning and morphological thinning to provide a reliable centerline that is robust to shape variations of the chromosomes. Effec-tive identification of the chromosome outline with its center-line provides a basis for further operations such as automated chromosome classification and centromere identification.
机译:对人中期染色体的研究是遗传疾病临床诊断的一个重要方面。尽管已经开发了用于染色体核型拟合以协助实验室诊断的图像处理技术,但由于它们在放置在显微镜载玻片上时,它们不能提供分割和提取染色体的中心线的可靠结果。在本文中,我们将一种使用梯度向量流动活动轮廓的混合算法,基于离散的曲线演化的基于骨架修剪和形态稀释,以提供一种可靠的中心线,其具有富于染色体的形状变化的稳健。利用其中心线的染色体轮廓的有效鉴定为进一步的操作提供了依据,例如自动染色体分类和封位识别。

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