Genetic algorithm and self organizing map based fuzzy hybrid intelligent method for color image segmentation
[Display omitted] •A novel genetic algorithm based on spatial fuzzy C-mean (sFCM) method has been proposed to make compact and well separated clusters.•Fuzzy separation and global compactness are considered the two objective functions to be optimized simultaneously.•The self organizing map (SOM) is...
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| Veröffentlicht in: | Applied soft computing Jg. 32; S. 300 - 310 |
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| Format: | Journal Article |
| Sprache: | Englisch |
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01.07.2015
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| ISSN: | 1568-4946, 1872-9681 |
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| Abstract | [Display omitted]
•A novel genetic algorithm based on spatial fuzzy C-mean (sFCM) method has been proposed to make compact and well separated clusters.•Fuzzy separation and global compactness are considered the two objective functions to be optimized simultaneously.•The self organizing map (SOM) is used to automatically determine the optimal number of clusters in order to set the length of chromosome.•A progressive technique is used to handle the initialization problem. The algorithm considers some small parts of an image as separate segments which leads to over-segmentation.•A novel merging technique is proposed to address the over-segmentation problem.
The grouping of pixels based on some similarity criteria is called image segmentation. In this paper the problem of color image segmentation is considered as a clustering problem and a fixed length genetic algorithm (GA) is used to handle it. The effectiveness of GA depends on the objective function (fitness function) and the initialization of the population. A new objective function is proposed to evaluate the quality of the segmentation and the fitness of a chromosome. In fixed length genetic algorithm the chromosomes have same length, which is normally set by the user. Here, a self organizing map (SOM) is used to determine the number of segments in order to set the length of a chromosome automatically. An opposition based strategy is adopted for the initialization of the population in order to diversify the search process. In some cases the proposed method makes the small regions of an image as separate segments, which leads to noisy segmentation. A simple ad hoc mechanism is devised to refine the noisy segmentation. The qualitative and quantitative results show that the proposed method performs better than the state-of-the-art methods. |
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| AbstractList | [Display omitted]
•A novel genetic algorithm based on spatial fuzzy C-mean (sFCM) method has been proposed to make compact and well separated clusters.•Fuzzy separation and global compactness are considered the two objective functions to be optimized simultaneously.•The self organizing map (SOM) is used to automatically determine the optimal number of clusters in order to set the length of chromosome.•A progressive technique is used to handle the initialization problem. The algorithm considers some small parts of an image as separate segments which leads to over-segmentation.•A novel merging technique is proposed to address the over-segmentation problem.
The grouping of pixels based on some similarity criteria is called image segmentation. In this paper the problem of color image segmentation is considered as a clustering problem and a fixed length genetic algorithm (GA) is used to handle it. The effectiveness of GA depends on the objective function (fitness function) and the initialization of the population. A new objective function is proposed to evaluate the quality of the segmentation and the fitness of a chromosome. In fixed length genetic algorithm the chromosomes have same length, which is normally set by the user. Here, a self organizing map (SOM) is used to determine the number of segments in order to set the length of a chromosome automatically. An opposition based strategy is adopted for the initialization of the population in order to diversify the search process. In some cases the proposed method makes the small regions of an image as separate segments, which leads to noisy segmentation. A simple ad hoc mechanism is devised to refine the noisy segmentation. The qualitative and quantitative results show that the proposed method performs better than the state-of-the-art methods. |
| Author | Khan, Ahmad Jaffar, Muhammad Arfan |
| Author_xml | – sequence: 1 givenname: Ahmad surname: Khan fullname: Khan, Ahmad email: ahmadkhan@ciit.net.pk organization: National University of Computer and Emerging Sciences, H-11/4 Islamabad, Pakistan – sequence: 2 givenname: Muhammad Arfan surname: Jaffar fullname: Jaffar, Muhammad Arfan email: arfanj.affar@ccis.imamu.edu.sa organization: National University of Computer and Emerging Sciences, H-11/4 Islamabad, Pakistan |
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| Cites_doi | 10.1109/TPAMI.2004.110 10.1109/TIP.2008.2001047 10.1002/sam.10080 10.1109/TPAMI.2004.1262177 10.1016/j.cviu.2007.07.005 10.1145/1015706.1015720 10.1007/s11042-012-1003-6 10.1016/1049-9660(91)90028-N 10.1007/978-3-540-45167-9_14 10.1109/83.661186 10.1111/j.2517-6161.1986.tb01412.x 10.1109/TIP.2011.2146190 10.1023/B:VISI.0000022288.19776.77 10.1109/34.868688 10.1006/gmip.1998.0480 10.1007/BF00133570 10.1109/34.87344 10.1109/42.996338 10.1016/j.compmedimag.2005.10.001 10.1109/TEVC.2007.894200 10.1080/01969727308546047 10.1109/TIP.2010.2066982 10.1145/1015706.1015719 |
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| References | Rahnamayan, Tizhoosh, Salama (bib0115) 2008; 12 Shi, Malik (bib0155) 2000; 22 Cohen (bib0025) 1991; 53 Ilea, Whelan (bib0100) 2008; 17 Loo, Tan (bib0015) 2004 Martin, Fowlkes, Tal, Malik (bib0105) 2001 Bezdek (bib0120) 1973; 3 Nock, Nielsen (bib0130) 2004; 26 Beucher, Meyer (bib0065) 1993; 34 Ahmed, Yamany, Nevin Mohamed, Moriarty (bib0080) 2002; 21 Ben Salah, Mitiche, Ayed (bib0140) 2011; 20 Vazquez, Weijer, Baldrich (bib0010) 2008 Li, Huang, Ding, Gatenby, Metaxas, Gore (bib0145) 2011; 20 Unnikrishnan, Hebert (bib0165) 2005 Besag (bib0040) 1986; 48 Chuang, Tzeng, Chen, Chen (bib0125) 2006; 30 Chuanga (bib0085) 2006; 30 Duda, Hart, Stork (bib0075) 2001 Khan, Jaffar, Shao (bib0110) 2014 Meila (bib0160) 2003; 2777 Chenyang, Prince (bib0030) 1998; 7 Kov, Jolly (bib0045) 2001; 1 Li, Sun, Tang, Shum (bib0060) 2004; 23 Yang, Wright, Sastry, Ma (bib0135) 2008 Felzenszwalb, Huttenlocher (bib0150) 2004; 59 Lucchese, Mitra (bib0005) 2001; 67 Kass, Witkin, Terzopoulos (bib0020) 1988; 1 Mortensen, Barrett (bib0035) 1998; 60 Kolmogorov, Zabih (bib0050) 2004; 26 Vincent, Soille (bib0070) 1999; 13 Rother, Kolmogorov, Blake (bib0055) 2004; 23 Vendramin, Campello, Hruschka (bib0095) 2010; 3 Khan, Jaffar, Choi (bib0090) 2013; 64 Unnikrishnan (10.1016/j.asoc.2015.03.029_bib0165) 2005 Martin (10.1016/j.asoc.2015.03.029_bib0105) 2001 Rother (10.1016/j.asoc.2015.03.029_bib0055) 2004; 23 Ilea (10.1016/j.asoc.2015.03.029_bib0100) 2008; 17 Ahmed (10.1016/j.asoc.2015.03.029_bib0080) 2002; 21 Li (10.1016/j.asoc.2015.03.029_bib0145) 2011; 20 Kass (10.1016/j.asoc.2015.03.029_bib0020) 1988; 1 Chenyang (10.1016/j.asoc.2015.03.029_bib0030) 1998; 7 Li (10.1016/j.asoc.2015.03.029_bib0060) 2004; 23 Lucchese (10.1016/j.asoc.2015.03.029_bib0005) 2001; 67 Duda (10.1016/j.asoc.2015.03.029_bib0075) 2001 Vazquez (10.1016/j.asoc.2015.03.029_bib0010) 2008 Khan (10.1016/j.asoc.2015.03.029_bib0090) 2013; 64 Khan (10.1016/j.asoc.2015.03.029_bib0110) 2014 Ben Salah (10.1016/j.asoc.2015.03.029_bib0140) 2011; 20 Yang (10.1016/j.asoc.2015.03.029_bib0135) 2008 Mortensen (10.1016/j.asoc.2015.03.029_bib0035) 1998; 60 Loo (10.1016/j.asoc.2015.03.029_bib0015) 2004 Vincent (10.1016/j.asoc.2015.03.029_bib0070) 1999; 13 Beucher (10.1016/j.asoc.2015.03.029_bib0065) 1993; 34 Nock (10.1016/j.asoc.2015.03.029_bib0130) 2004; 26 Kov (10.1016/j.asoc.2015.03.029_bib0045) 2001; 1 Cohen (10.1016/j.asoc.2015.03.029_bib0025) 1991; 53 Besag (10.1016/j.asoc.2015.03.029_bib0040) 1986; 48 Chuang (10.1016/j.asoc.2015.03.029_bib0125) 2006; 30 Kolmogorov (10.1016/j.asoc.2015.03.029_bib0050) 2004; 26 Chuanga (10.1016/j.asoc.2015.03.029_bib0085) 2006; 30 Shi (10.1016/j.asoc.2015.03.029_bib0155) 2000; 22 Felzenszwalb (10.1016/j.asoc.2015.03.029_bib0150) 2004; 59 Rahnamayan (10.1016/j.asoc.2015.03.029_bib0115) 2008; 12 Vendramin (10.1016/j.asoc.2015.03.029_bib0095) 2010; 3 Bezdek (10.1016/j.asoc.2015.03.029_bib0120) 1973; 3 Meila (10.1016/j.asoc.2015.03.029_bib0160) 2003; 2777 |
| References_xml | – year: 2001 ident: bib0075 article-title: Pattern Classification – volume: 23 start-page: 303 year: 2004 end-page: 308 ident: bib0060 article-title: Lazy snapping publication-title: ACM Trans. Graph. – volume: 3 start-page: 209 year: 2010 end-page: 235 ident: bib0095 article-title: Relative clustering validity criteria: a comparative overview publication-title: Stat. Anal. Data Min. – volume: 53 start-page: 211 year: 1991 end-page: 218 ident: bib0025 article-title: On active contour models and balloons publication-title: CVGIP: Image Understand. – volume: 13 start-page: 583 year: 1999 end-page: 598 ident: bib0070 article-title: Watersheds in digital spaces: an efficient algorithm based on immersion simulations publication-title: IEEE Trans. Pattern Anal. Mach. Intell. – start-page: 1233 year: 2014 end-page: 1243 ident: bib0110 article-title: A modified adaptive differential evolution algorithm for color image segmentation publication-title: Knowl. Inform. Syst. – volume: 21 start-page: 193 year: 2002 end-page: 199 ident: bib0080 article-title: A modified fuzzy c-means algorithm for bias field estimation and segmentation of MRI data publication-title: IEEE Trans. Med. Imaging – volume: 1 start-page: 105 year: 2001 end-page: 112 ident: bib0045 article-title: Interactive graph cuts for optimal boundary region segmentation of objects in N-D images publication-title: IEEE Int. Conf. Comp. Vis. – volume: 30 start-page: 9 year: 2006 end-page: 15 ident: bib0085 article-title: Fuzzy c-means clustering with spatial information for image segmentation publication-title: Comp. Med. Imaging Graph. – volume: 2777 start-page: 173 year: 2003 end-page: 187 ident: bib0160 article-title: Comparing clusterings by the variation of information publication-title: Lect. Note Comp. Sci. – volume: 34 start-page: 433 year: 1993 end-page: 481 ident: bib0065 article-title: The morphological approach to segmentation: the watershed transformation publication-title: Math. Morphol. Image Process. – start-page: 416 year: 2001 end-page: 423 ident: bib0105 article-title: A database of human segmented natural images and its application to evaluating segmentation algorithms and measuring ecological statistics publication-title: IEEE International Conference on Computer Vision, vol. 2 – volume: 7 start-page: 3 year: 1998 ident: bib0030 article-title: Snakes, shapes, and gradient vector flow publication-title: IEEE Trans. Image Process. – volume: 12 start-page: 64 year: 2008 end-page: 79 ident: bib0115 article-title: Opposition-based differential evolution publication-title: IEEE Trans. Evol. Comput. – start-page: 1 year: 2008 end-page: 14 ident: bib0010 article-title: Image segmentation in the presence of shadows and highlights using a ridge based histogram analysis publication-title: Proc. ECCV08, vol. 5305 – volume: 26 start-page: 147 year: 2004 end-page: 159 ident: bib0050 article-title: What energy functions can be minimized via graph cuts ? publication-title: IEEE Trans. Pattern Anal. Mach. Intell. – volume: 64 start-page: 331 year: 2013 end-page: 344 ident: bib0090 article-title: Som and fuzzy based color image segmentation publication-title: Multimedia Tools Appl. – volume: 67 start-page: 207 year: 2001 end-page: 221 ident: bib0005 article-title: Color image segmentation: a state of the art survey publication-title: Proc. Indian Natl. Sci. Acad. Image Process. Vis. Pattern Recogn. – volume: 23 start-page: 309 year: 2004 end-page: 314 ident: bib0055 article-title: Grabcut interactive foreground extraction using iterated graphcuts publication-title: ACM Trans. Graph. – volume: 60 start-page: 5 year: 1998 ident: bib0035 article-title: Interactive segmentation with intelligent scissors publication-title: Graph. Models Image Process. – volume: 17 start-page: 1926 year: 2008 end-page: 1939 ident: bib0100 article-title: Ctex – an adaptive unsupervised segmentation algorithm based on color-texture coherence publication-title: IEEE Trans. Image Process. – volume: 59 start-page: 167 year: 2004 end-page: 181 ident: bib0150 article-title: Efficient graph-based image segmentation publication-title: Int. J. Comput. Vis. – volume: 20 start-page: 545 year: 2011 end-page: 557 ident: bib0140 article-title: Multiregion image segmentation by parametric kernel graph cuts publication-title: IEEE Trans. Image Process. – volume: 20 start-page: 2007 year: 2011 end-page: 2016 ident: bib0145 article-title: A level set method for image segmentation in the presence of intensity inhomogeneities with application to MRI publication-title: IEEE Trans. Image Process. – start-page: 212 year: 2008 end-page: 225 ident: bib0135 article-title: Unsupervised segmentation of natural images via lossy data compression publication-title: Comp. Vis. Image Understand. – volume: 26 start-page: 1452 year: 2004 end-page: 1458 ident: bib0130 article-title: Statistical region merging publication-title: IEEE Trans. Pattern Anal. Mach. Intell. – volume: 30 start-page: 9 year: 2006 end-page: 15 ident: bib0125 article-title: Fuzzy c-means clustering with spatial information for image segmentation publication-title: Comp. Med. Imaging Graph. – volume: 3 start-page: 58 year: 1973 end-page: 73 ident: bib0120 article-title: Cluster validity with fuzzy sets publication-title: J. Cybern. – volume: 22 start-page: 888 year: 2000 end-page: 905 ident: bib0155 article-title: Normalized cuts and image segmentation publication-title: IEEE Trans. Pattern Anal. Mach. Intell. – start-page: 394 year: 2005 end-page: 401 ident: bib0165 article-title: Measures of similarity publication-title: Proceedings of the IEEE Workshop on Computer Vision Applications, vol. 1 – start-page: 264 year: 2004 end-page: 275 ident: bib0015 article-title: Adaptive region growing color segmentation for text using irregular pyramid publication-title: International Workshop on Document Analysis Systems, vol. 3163 – volume: 48 start-page: 259 year: 1986 end-page: 302 ident: bib0040 article-title: On the statistical analysis of dirty pictures publication-title: J. Roy. Stat. Soc. B – volume: 1 start-page: 321 year: 1988 end-page: 331 ident: bib0020 article-title: Snakes: active contour models publication-title: Int. J. Comput. Vis. – start-page: 264 year: 2004 ident: 10.1016/j.asoc.2015.03.029_bib0015 article-title: Adaptive region growing color segmentation for text using irregular pyramid – volume: 26 start-page: 1452 issue: 11 year: 2004 ident: 10.1016/j.asoc.2015.03.029_bib0130 article-title: Statistical region merging publication-title: IEEE Trans. Pattern Anal. Mach. Intell. doi: 10.1109/TPAMI.2004.110 – volume: 17 start-page: 1926 issue: 10 year: 2008 ident: 10.1016/j.asoc.2015.03.029_bib0100 article-title: Ctex – an adaptive unsupervised segmentation algorithm based on color-texture coherence publication-title: IEEE Trans. Image Process. doi: 10.1109/TIP.2008.2001047 – volume: 3 start-page: 209 issue: 4 year: 2010 ident: 10.1016/j.asoc.2015.03.029_bib0095 article-title: Relative clustering validity criteria: a comparative overview publication-title: Stat. Anal. Data Min. doi: 10.1002/sam.10080 – volume: 26 start-page: 147 issue: 2 year: 2004 ident: 10.1016/j.asoc.2015.03.029_bib0050 article-title: What energy functions can be minimized via graph cuts ? publication-title: IEEE Trans. Pattern Anal. Mach. Intell. doi: 10.1109/TPAMI.2004.1262177 – volume: 67 start-page: 207 issue: 2 year: 2001 ident: 10.1016/j.asoc.2015.03.029_bib0005 article-title: Color image segmentation: a state of the art survey publication-title: Proc. Indian Natl. Sci. Acad. Image Process. Vis. Pattern Recogn. – year: 2001 ident: 10.1016/j.asoc.2015.03.029_bib0075 – start-page: 1233 year: 2014 ident: 10.1016/j.asoc.2015.03.029_bib0110 article-title: A modified adaptive differential evolution algorithm for color image segmentation publication-title: Knowl. Inform. Syst. – start-page: 212 year: 2008 ident: 10.1016/j.asoc.2015.03.029_bib0135 article-title: Unsupervised segmentation of natural images via lossy data compression publication-title: Comp. Vis. Image Understand. doi: 10.1016/j.cviu.2007.07.005 – volume: 23 start-page: 309 issue: 3 year: 2004 ident: 10.1016/j.asoc.2015.03.029_bib0055 article-title: Grabcut interactive foreground extraction using iterated graphcuts publication-title: ACM Trans. Graph. doi: 10.1145/1015706.1015720 – volume: 64 start-page: 331 issue: 2 year: 2013 ident: 10.1016/j.asoc.2015.03.029_bib0090 article-title: Som and fuzzy based color image segmentation publication-title: Multimedia Tools Appl. doi: 10.1007/s11042-012-1003-6 – volume: 53 start-page: 211 issue: 2 year: 1991 ident: 10.1016/j.asoc.2015.03.029_bib0025 article-title: On active contour models and balloons publication-title: CVGIP: Image Understand. doi: 10.1016/1049-9660(91)90028-N – start-page: 1 year: 2008 ident: 10.1016/j.asoc.2015.03.029_bib0010 article-title: Image segmentation in the presence of shadows and highlights using a ridge based histogram analysis – volume: 1 start-page: 105 year: 2001 ident: 10.1016/j.asoc.2015.03.029_bib0045 article-title: Interactive graph cuts for optimal boundary region segmentation of objects in N-D images publication-title: IEEE Int. Conf. Comp. Vis. – start-page: 416 year: 2001 ident: 10.1016/j.asoc.2015.03.029_bib0105 article-title: A database of human segmented natural images and its application to evaluating segmentation algorithms and measuring ecological statistics – volume: 2777 start-page: 173 year: 2003 ident: 10.1016/j.asoc.2015.03.029_bib0160 article-title: Comparing clusterings by the variation of information publication-title: Lect. Note Comp. Sci. doi: 10.1007/978-3-540-45167-9_14 – start-page: 394 year: 2005 ident: 10.1016/j.asoc.2015.03.029_bib0165 article-title: Measures of similarity – volume: 7 start-page: 3 year: 1998 ident: 10.1016/j.asoc.2015.03.029_bib0030 article-title: Snakes, shapes, and gradient vector flow publication-title: IEEE Trans. Image Process. doi: 10.1109/83.661186 – volume: 48 start-page: 259 year: 1986 ident: 10.1016/j.asoc.2015.03.029_bib0040 article-title: On the statistical analysis of dirty pictures publication-title: J. Roy. Stat. Soc. B doi: 10.1111/j.2517-6161.1986.tb01412.x – volume: 20 start-page: 2007 issue: 7 year: 2011 ident: 10.1016/j.asoc.2015.03.029_bib0145 article-title: A level set method for image segmentation in the presence of intensity inhomogeneities with application to MRI publication-title: IEEE Trans. Image Process. doi: 10.1109/TIP.2011.2146190 – volume: 59 start-page: 167 issue: 02 year: 2004 ident: 10.1016/j.asoc.2015.03.029_bib0150 article-title: Efficient graph-based image segmentation publication-title: Int. J. Comput. Vis. doi: 10.1023/B:VISI.0000022288.19776.77 – volume: 22 start-page: 888 issue: 8 year: 2000 ident: 10.1016/j.asoc.2015.03.029_bib0155 article-title: Normalized cuts and image segmentation publication-title: IEEE Trans. Pattern Anal. Mach. Intell. doi: 10.1109/34.868688 – volume: 60 start-page: 5 year: 1998 ident: 10.1016/j.asoc.2015.03.029_bib0035 article-title: Interactive segmentation with intelligent scissors publication-title: Graph. Models Image Process. doi: 10.1006/gmip.1998.0480 – volume: 1 start-page: 321 issue: 4 year: 1988 ident: 10.1016/j.asoc.2015.03.029_bib0020 article-title: Snakes: active contour models publication-title: Int. J. Comput. Vis. doi: 10.1007/BF00133570 – volume: 13 start-page: 583 issue: 6 year: 1999 ident: 10.1016/j.asoc.2015.03.029_bib0070 article-title: Watersheds in digital spaces: an efficient algorithm based on immersion simulations publication-title: IEEE Trans. Pattern Anal. Mach. Intell. doi: 10.1109/34.87344 – volume: 34 start-page: 433 year: 1993 ident: 10.1016/j.asoc.2015.03.029_bib0065 article-title: The morphological approach to segmentation: the watershed transformation publication-title: Math. Morphol. Image Process. – volume: 21 start-page: 193 issue: March (3) year: 2002 ident: 10.1016/j.asoc.2015.03.029_bib0080 article-title: A modified fuzzy c-means algorithm for bias field estimation and segmentation of MRI data publication-title: IEEE Trans. Med. Imaging doi: 10.1109/42.996338 – volume: 30 start-page: 9 year: 2006 ident: 10.1016/j.asoc.2015.03.029_bib0085 article-title: Fuzzy c-means clustering with spatial information for image segmentation publication-title: Comp. Med. Imaging Graph. doi: 10.1016/j.compmedimag.2005.10.001 – volume: 12 start-page: 64 issue: 1 year: 2008 ident: 10.1016/j.asoc.2015.03.029_bib0115 article-title: Opposition-based differential evolution publication-title: IEEE Trans. Evol. Comput. doi: 10.1109/TEVC.2007.894200 – volume: 30 start-page: 9 year: 2006 ident: 10.1016/j.asoc.2015.03.029_bib0125 article-title: Fuzzy c-means clustering with spatial information for image segmentation publication-title: Comp. Med. Imaging Graph. doi: 10.1016/j.compmedimag.2005.10.001 – volume: 3 start-page: 58 issue: 3 year: 1973 ident: 10.1016/j.asoc.2015.03.029_bib0120 article-title: Cluster validity with fuzzy sets publication-title: J. Cybern. doi: 10.1080/01969727308546047 – volume: 20 start-page: 545 issue: 2 year: 2011 ident: 10.1016/j.asoc.2015.03.029_bib0140 article-title: Multiregion image segmentation by parametric kernel graph cuts publication-title: IEEE Trans. Image Process. doi: 10.1109/TIP.2010.2066982 – volume: 23 start-page: 303 issue: 3 year: 2004 ident: 10.1016/j.asoc.2015.03.029_bib0060 article-title: Lazy snapping publication-title: ACM Trans. Graph. doi: 10.1145/1015706.1015719 |
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