Evaluation of automated chromosome G-band images enhancement using histogram equalization
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Published:
Apr 12, 2017
Keywords:
mage analysis chromosome imag , chromosome segmentation chromosome analysis chromosome image enhancement
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Abstract
This paper presents analysis of evaluation chromosome image enhancement. It has been appeared in literature that there are 4 different techniques, i.e. Contrast Limited Adaptive Histogram Equalization, Contrast Stretching, Histogram Equalization and Mathematical Morphology, on chromosome image type G-BAND. From our study, We found that Histogram Equalization give promising results in enhancement. A success rate of 93.32% has been achieved.
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How to Cite
Wayalun, P., Wanchanthuek, P., Songram, P., Chompoowises, P., & Laopracha, N. (2017). Evaluation of automated chromosome G-band images enhancement using histogram equalization. Asia-Pacific Journal of Science and Technology, 18(2), 240–256. Retrieved from https://so01.tci-thaijo.org/index.php/APST/article/view/82842
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Research Articles
References
[1] Piper J, Granum E, Rutovitz D, Ruttledge H. Automation of chromosome analysis. Signal Processing. 1980 July;2(3):203-21.
[2] Hampton GM. Simutaneous assessment of loss of heterozygosity at multiple micro satellite loci using semi-automated fluorescence-baseddetection :sub regional mapping of chromosome 4 in cervical carcinoma. Proc Natl Acad Sci. 1996:6704-9.
[3] Truong K. Quantitative fish detection of chromosome 3 arm imbalances in lung tumors by automated image cytometry. Med Sci Monit. 2004:426-32.
[4] Boehm D. Rapid detection of subtelomeric detection/duplication by novel real-time quantitative PCR using SYBR-Green dye. Human Mutation. 2004:368-78.
[5] Grisan E, Poletti E, Ruggeri A. Automatic Segmentation and Disentangling of Chromosomes in Q-Band Prometaphase Images. IEEE Transactions on Information Technology in Biomedicine. 2009 July;13(4):575-81.
[6] Wang YP, Wu Q, Castleman KR, Xiong Z, editors. Image Enhancement Using Multiscale Differential Operators. IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP ‘01); 2001 May 7-11; 2001. P. 1853–1856.
[7] Wenzhong Y, editor. Mathematical Morphology Based Enhancement for Chromosome Images. ICBBE 2009 3rd International Conference on Bioinformatics and Biomedical Engineering; 2009 June 11-13 ; 2009. P. 1-3.
[8] Wang YP, Wu Q, Castleman K, Xiong Z, editors. Image enhancement using multiscale oriented wavelets. Proceedings 2001 International Conference on Image Processing; 2001. P. 610-613.
[9] Wu Q, Castleman KR, editors. Wavelet-Based Enhancement of Human Chromosome Images. Proceedings of the 20th Annual International Conference of the IEEE Engineering in Medicine and Biology Society; 1998. P. 963-966.
[10] PAL SK, ROSENFELD A. Image enhancement and thresholding by optimization of fuzzy compactness. Pattern Recognition. 1988;7: 77-86.
[11] Wu Q, Wangt YP, Liu Z, Chent T, Castlemad KR, editors. The Effect of Image Enhancement on Biomedical Pattern Recognition. Proceedings of the Second Joint EMBSBMES Conference Houston; 2002 October 23-26; TX, USA; 2002. P. 1067-1069.
[12] Choi Y, Krishnapuram R, editors. A Fuzzy-Rule-Based Image Enhancement Method for Medical Applications. Proceedings of the Eighth IEEE Symposium on Computer-Based Medical Systems; 1995 .P. 75-80.
[13] Ehsani SP, Mousavi HS, Khalaj BH, editors. Chromosome Image Contrast Enhancement Using Adaptive, Iterative Histogram Matching. 2011 7th Iranian Machine Vision and Image Processing (MVIP); 2011.P. 1-5.
[14] Xu Z, Liu X, Ji N, editors. Fog Removal from Color Images using Contrast Limited Adaptive Histogram Equalization. CISP ‘09 2nd International Congress on Image and Signal Processing; 2009 October 17-19 ; 2009.P. 1-5.
[15] Ye Y, Ye Z, Bhattacharya P, Luo J, Majlesein H, Smith R, et al., editors. On linear and nonlinear processing of underwater, ground, aerial and satellite images. International Conference on Systems, Man and Cybernetics; 2005.P. 3364-3368.
[16] Yeganeh H, Ziaei A, Rezaie A, editors. A Novel Approach for Contrast Enhancement Based on Histogram Equalization. Proceedings of the International Conference on Computer and Communication Engineering; 2008 May 13-15; Kuala Lumpur, Malaysia; 2008.P. 256-260.
[17] AlSaeed DH, Bouridane A, ElZaart A, Sammouda R, editors. Two Modifed Otsu Image Segmentation Methods Based On Lognormal And Gamma Distribution Models. 2012 International Conference on Information Technology and e-Services; 2012.P. 1-5.
[18] Rafael C. González aREW. Digital Image Processing: Prentice Hall; 2002.
[19] Canny J. A computational approach to edge detection. IEEE Transactions on Pattern Analysis and Machine Interlligence. 1986; PAMI-8: 679 - 98.
[20] Songhua H, Lizhen Y, editors. Optimization of Collision Detection Algorithm based on OBB. International Conference on Measuring Technology and Mechatronics Automation; 2010.P. 853-855.
[2] Hampton GM. Simutaneous assessment of loss of heterozygosity at multiple micro satellite loci using semi-automated fluorescence-baseddetection :sub regional mapping of chromosome 4 in cervical carcinoma. Proc Natl Acad Sci. 1996:6704-9.
[3] Truong K. Quantitative fish detection of chromosome 3 arm imbalances in lung tumors by automated image cytometry. Med Sci Monit. 2004:426-32.
[4] Boehm D. Rapid detection of subtelomeric detection/duplication by novel real-time quantitative PCR using SYBR-Green dye. Human Mutation. 2004:368-78.
[5] Grisan E, Poletti E, Ruggeri A. Automatic Segmentation and Disentangling of Chromosomes in Q-Band Prometaphase Images. IEEE Transactions on Information Technology in Biomedicine. 2009 July;13(4):575-81.
[6] Wang YP, Wu Q, Castleman KR, Xiong Z, editors. Image Enhancement Using Multiscale Differential Operators. IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP ‘01); 2001 May 7-11; 2001. P. 1853–1856.
[7] Wenzhong Y, editor. Mathematical Morphology Based Enhancement for Chromosome Images. ICBBE 2009 3rd International Conference on Bioinformatics and Biomedical Engineering; 2009 June 11-13 ; 2009. P. 1-3.
[8] Wang YP, Wu Q, Castleman K, Xiong Z, editors. Image enhancement using multiscale oriented wavelets. Proceedings 2001 International Conference on Image Processing; 2001. P. 610-613.
[9] Wu Q, Castleman KR, editors. Wavelet-Based Enhancement of Human Chromosome Images. Proceedings of the 20th Annual International Conference of the IEEE Engineering in Medicine and Biology Society; 1998. P. 963-966.
[10] PAL SK, ROSENFELD A. Image enhancement and thresholding by optimization of fuzzy compactness. Pattern Recognition. 1988;7: 77-86.
[11] Wu Q, Wangt YP, Liu Z, Chent T, Castlemad KR, editors. The Effect of Image Enhancement on Biomedical Pattern Recognition. Proceedings of the Second Joint EMBSBMES Conference Houston; 2002 October 23-26; TX, USA; 2002. P. 1067-1069.
[12] Choi Y, Krishnapuram R, editors. A Fuzzy-Rule-Based Image Enhancement Method for Medical Applications. Proceedings of the Eighth IEEE Symposium on Computer-Based Medical Systems; 1995 .P. 75-80.
[13] Ehsani SP, Mousavi HS, Khalaj BH, editors. Chromosome Image Contrast Enhancement Using Adaptive, Iterative Histogram Matching. 2011 7th Iranian Machine Vision and Image Processing (MVIP); 2011.P. 1-5.
[14] Xu Z, Liu X, Ji N, editors. Fog Removal from Color Images using Contrast Limited Adaptive Histogram Equalization. CISP ‘09 2nd International Congress on Image and Signal Processing; 2009 October 17-19 ; 2009.P. 1-5.
[15] Ye Y, Ye Z, Bhattacharya P, Luo J, Majlesein H, Smith R, et al., editors. On linear and nonlinear processing of underwater, ground, aerial and satellite images. International Conference on Systems, Man and Cybernetics; 2005.P. 3364-3368.
[16] Yeganeh H, Ziaei A, Rezaie A, editors. A Novel Approach for Contrast Enhancement Based on Histogram Equalization. Proceedings of the International Conference on Computer and Communication Engineering; 2008 May 13-15; Kuala Lumpur, Malaysia; 2008.P. 256-260.
[17] AlSaeed DH, Bouridane A, ElZaart A, Sammouda R, editors. Two Modifed Otsu Image Segmentation Methods Based On Lognormal And Gamma Distribution Models. 2012 International Conference on Information Technology and e-Services; 2012.P. 1-5.
[18] Rafael C. González aREW. Digital Image Processing: Prentice Hall; 2002.
[19] Canny J. A computational approach to edge detection. IEEE Transactions on Pattern Analysis and Machine Interlligence. 1986; PAMI-8: 679 - 98.
[20] Songhua H, Lizhen Y, editors. Optimization of Collision Detection Algorithm based on OBB. International Conference on Measuring Technology and Mechatronics Automation; 2010.P. 853-855.