2010 20th International Conference on Pattern Recognition 2010
DOI: 10.1109/icpr.2010.622
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A Spot Segmentation Approach for 2D Gel Electrophoresis Images Based on 2D Histograms

Abstract: Spot-Segmentation, an essential stage of processing 2D gel electrophoresis images, remains a challenging process. The available software programs and techniques fail to separate overlapping protein spots correctly and cannot detect low intensity spots without human intervention. This paper presents an original approach to spot segmentation in 2D gel electrophoresis images. The proposed approach is based on 2D-histograms of the aforementioned images. The conducted experiments in a set of 16-bit 2D gel electroph… Show more

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Cited by 3 publications
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“…Pattern recognition of 2D PCR-RFLP images had been used for lane intensity profile by removing background intensity (Maramis and Delopoulos, 2010). Pattern recognition of 2D Images is being extensively used discrimination of Plants, 2D fingerprints, Spot segmentation of 2D histograms etc., (Rodriguez et al, 2014, Ye et al, 2011, Zhai et al, 2010, Zacharia et al, 2010). HIBS also uses Pattern recognition for band detection, but this software has ability to compare Low range DNA ladder 100 bp (Fermentas cat# SMO 323) and PCR product and auto recognize the size of every primer amplification and number of amplifications.…”
Section: Resultsmentioning
confidence: 99%
“…Pattern recognition of 2D PCR-RFLP images had been used for lane intensity profile by removing background intensity (Maramis and Delopoulos, 2010). Pattern recognition of 2D Images is being extensively used discrimination of Plants, 2D fingerprints, Spot segmentation of 2D histograms etc., (Rodriguez et al, 2014, Ye et al, 2011, Zhai et al, 2010, Zacharia et al, 2010). HIBS also uses Pattern recognition for band detection, but this software has ability to compare Low range DNA ladder 100 bp (Fermentas cat# SMO 323) and PCR product and auto recognize the size of every primer amplification and number of amplifications.…”
Section: Resultsmentioning
confidence: 99%