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Volume 9, Issue 4
Bands detection and Lanes segmentation in DNA Fingerprint images

I. Ismail and Gh . S. Eltaweel and H. Nassar

J. Info. Comput. Sci. , 9 (2014), pp. 243-251.

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  • Abstract
Gel electrophoresis (GE) is a widely used technique to separate DNA sequence according to their size and weight, GE results are presented using images. In this paper, we present a scheme that aims to detect and segment the lanes in DNA gel images without any human interventions. We have successfully implemented an image processing scheme to automatically detect and segment the lanes in DNA gel images, applying this scheme to several DNA fingerprint gel images ,all the lanes are successfully segmented. Also we have obtained up to 99.5% accuracy for the segmentation of lanes in good quality images. The proposed scheme is compared with other techniques and the comparison shows that it has a minimum error rate.
  • Keywords

Gel electrophoresis (GE), matched filter, watershed segmentation algorithm.

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COPYRIGHT: © Global Science Press

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@Article{JICS-9-243, author = {I. Ismail and Gh . S. Eltaweel and H. Nassar}, title = {Bands detection and Lanes segmentation in DNA Fingerprint images}, journal = {Journal of Information and Computing Science}, year = {2024}, volume = {9}, number = {4}, pages = {243--251}, abstract = { Gel electrophoresis (GE) is a widely used technique to separate DNA sequence according to their size and weight, GE results are presented using images. In this paper, we present a scheme that aims to detect and segment the lanes in DNA gel images without any human interventions. We have successfully implemented an image processing scheme to automatically detect and segment the lanes in DNA gel images, applying this scheme to several DNA fingerprint gel images ,all the lanes are successfully segmented. Also we have obtained up to 99.5% accuracy for the segmentation of lanes in good quality images. The proposed scheme is compared with other techniques and the comparison shows that it has a minimum error rate. }, issn = {1746-7659}, doi = {https://doi.org/}, url = {http://global-sci.org/intro/article_detail/jics/22567.html} }
TY - JOUR T1 - Bands detection and Lanes segmentation in DNA Fingerprint images AU - I. Ismail and Gh . S. Eltaweel and H. Nassar JO - Journal of Information and Computing Science VL - 4 SP - 243 EP - 251 PY - 2024 DA - 2024/01 SN - 9 DO - http://doi.org/ UR - https://global-sci.org/intro/article_detail/jics/22567.html KW - Gel electrophoresis (GE), matched filter, watershed segmentation algorithm. AB - Gel electrophoresis (GE) is a widely used technique to separate DNA sequence according to their size and weight, GE results are presented using images. In this paper, we present a scheme that aims to detect and segment the lanes in DNA gel images without any human interventions. We have successfully implemented an image processing scheme to automatically detect and segment the lanes in DNA gel images, applying this scheme to several DNA fingerprint gel images ,all the lanes are successfully segmented. Also we have obtained up to 99.5% accuracy for the segmentation of lanes in good quality images. The proposed scheme is compared with other techniques and the comparison shows that it has a minimum error rate.
I. Ismail and Gh . S. Eltaweel and H. Nassar. (2024). Bands detection and Lanes segmentation in DNA Fingerprint images. Journal of Information and Computing Science. 9 (4). 243-251. doi:
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