Analysis of Chromosome Image Segmentation Using Image Processing Methods and DCE Antilogarithm
DOI:
https://doi.org/10.52783/jns.v14.3076Keywords:
Chromosome, Image, Segmentation, RegionsAbstract
Chromosome image segmentation is a crucial task in cytogenetics and genomics that enables accurate examination of chromosomal abnormalities and structures. In this study, we examine the effectiveness of the DCE (Dynamic Contrast Enhancement) Antilogarithm methodology for chromosomal picture segmentation when combined with image processing techniques. The DCE Antilogarithm can be used to contrast and enhance the visibility of chromosome regions that are often obscured by noise and difficult to identify in images obtained by microscopy. Image processing methods such as edge detection, thresholding, and morphological algorithms are used to distinguish individual chromosomes from complex, overlapping patterns. These methods are tested and validated on a range of chromosomal imaging datasets. Chromosome analysis and identification are essential for genetic research, and the proposed method aims to improve their accuracy and efficacy.
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