Abstract
This study aimed to represent an advanced software tool assists in analyzing and classifying the human chromosomes. Our new software handles both classifying and analyzing the medical image of human chromosomes according to the following steps: 1- we use the image processing utilities in Matlab to analyze the image; where we provide a new filter to remove the noise depending on the objects that exists in the image. 2- The filtered image enters to a segmentation algorithm to segment this image to the most acceptable one. 3-The segments will enter two tracks for classifying the chromosomes that are contained in the segment: the first one depends on using the image processing for measuring the length of each chromosome; while the second one deals with initiating the neural network to classify the chromosomes according to the chromosomes characteristics. There is a noticeable enhancement in the image processing approach as a result of using our filter which improve the image quality by a factor equal to 91.7%.
Highlights
Chromosomes are tightly coiled microscopic rodlike structures of DNA and protein that are found in the nuclei of Eukaryotic cells
This study got its idea from a problem that faces the technicians in the cytogenetics labs in analyzing the human chromosomes
The medical image of human chromosome is treated by our software
Summary
Chromosomes are tightly coiled microscopic rodlike structures of DNA and protein that are found in the nuclei of Eukaryotic cells. Each chromosome consists of two sets of genetic material connected at the centromere. This study got its idea from a problem that faces the technicians in the cytogenetics labs in analyzing the human chromosomes. Such problem can be summarized in: counting the number of chromosomes (taking into consideration overlapping and touching chromosomes), studying the banding patterns in each one and determining the possible genetic disease, if there is any. Our software package can be characterized by minimizing the consuming time needed to classify the chromosomes and gain reliable results
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