Access the full text.
Sign up today, get DeepDyve free for 14 days.
Loading next page...
/lp/springer-journals/colour-image-segmentation-with-histogram-and-homogeneity-histogram-NXHRb83gyc
References (51)
-
Linyi Li, De-ying Li (2008)
Fuzzy entropy image segmentation based on particle swarm optimizationProgress in Natural Science, 18
-
Kezong Tang, Xiaojing Yuan, Tingkai Sun, Jing-yu Yang, Shang Gao (2011)
An improved scheme for minimum cross entropy threshold selection based on genetic algorithmKnowl. Based Syst., 24
-
Valentín Osuna-Enciso, E. Jiménez, Juan Azuela (2013)
A Comparison of Nature Inspired Algorithms for Multi-threshold Image SegmentationArXiv, abs/1405.7406
-
SH Park, ID Yun, SU Lee (1998)
Color image segmentation based on 3-D clusteringPattern Recogn, 31
-
Chi-Yu Lee, Jin-Jang Leou, H. Hsiao (2012)
Saliency-directed color image segmentation using modified particle swarm optimizationSignal Process., 92
-
Sushil Kumar, M. Pant, Rashmi Kumar, A. Amiya (2013)
A comparison of Differential Evolution, Particle Swarm Optimization, Artificial Bee Colony and Cuckoo Search for Multilevel thresholdingComputer methods in materials science
-
R. Dubes, Anil Jain, S. Nadabar, Chaur-Chin Chen (1990)
MRF model-based algorithms for image segmentation[1990] Proceedings. 10th International Conference on Pattern Recognition, i
-
Yong Zhang, Dan Huang, Min Ji, Fuding Xie (2011)
Image segmentation using PSO and PCM with Mahalanobis distanceExpert Syst. Appl., 38
-
Peng-Yeng Yin (2007)
Multilevel minimum cross entropy threshold selection based on particle swarm optimizationAppl. Math. Comput., 184
-
B. Bhanu, Sungkee Lee, S. Das (1995)
Adaptive image segmentation using genetic and hybrid search methodsIEEE Transactions on Aerospace and Electronic Systems, 31
-
S. De, S. Bhattacharyya, Susanta Chakraborty (2012)
Color image segmentation using parallel OptiMUSIG activation functionAppl. Soft Comput., 12
-
Swagatam Das, Sudeshna Sil (2010)
Kernel-induced fuzzy clustering of image pixels with an improved differential evolution algorithmInf. Sci., 180
-
Wenbing Tao, J. Tian, Jian Liu (2003)
Image segmentation by three-level thresholding based on maximum fuzzy entropy and genetic algorithmPattern Recognit. Lett., 24
-
P. Andrey (1999)
Selectionist relaxation: genetic algorithms applied to image segmentationImage Vis. Comput., 17
-
R. Storn, K. Price (1997)
Differential Evolution – A Simple and Efficient Heuristic for global Optimization over Continuous SpacesJournal of Global Optimization, 11
-
E. Zahara, Shu-Kai Fan, D. Tsai (2005)
Optimal multi-thresholding using a hybrid optimization approachPattern Recognit. Lett., 26
-
A. Nakib, B. Daachi, P. Siarry (2012)
Hybrid Differential Evolution Using Low-Discrepancy Sequences for Image Segmentation2012 IEEE 26th International Parallel and Distributed Processing Symposium Workshops & PhD Forum
-
M. Maitra, A. Chatterjee (2008)
A hybrid cooperative-comprehensive learning based PSO algorithm for image segmentation using multilevel thresholdingExpert Syst. Appl., 34
-
L. Wang, Jianfu Cao, Chongzhao Han (2012)
Multidimensional particle swarm optimization-based unsupervised planar segmentation algorithm of unorganized point cloudsPattern Recognit., 45
-
Akhilesh Chander, A. Chatterjee, P. Siarry (2011)
A new social and momentum component adaptive PSO algorithm for image segmentationExpert Syst. Appl., 38
-
Soham Sarkar, Swagatam Das (2013)
Multilevel Image Thresholding Based on 2D Histogram and Maximum Tsallis Entropy— A Differential Evolution ApproachIEEE Transactions on Image Processing, 22
-
Wenbing Tao, Hai Jin, Liman Liu (2007)
Object segmentation using ant colony optimization algorithm and fuzzy entropyPattern Recognit. Lett., 28
-
Hao Gao, S. Kwong, Jijiang Yang, Jingjing Cao (2013)
Particle swarm optimization based on intermediate disturbance strategy algorithm and its application in multi-threshold image segmentationInf. Sci., 250
-
B. Akay (2013)
A study on particle swarm optimization and artificial bee colony algorithms for multilevel thresholdingAppl. Soft Comput., 13
-
S Kumar, P Kumar, TK Sharma, M Pant (2013)
Bi-level thresholding using PSO -
S. Bhandarkar, Hui Zhang (1999)
Image segmentation using evolutionary computationIEEE Trans. Evol. Comput., 3
-
Giosuè Bosco (2001)
A genetic algorithm for image segmentationProceedings 11th International Conference on Image Analysis and Processing
-
H. Derin, H. Elliott (1987)
Modeling and Segmentation of Noisy and Textured Images Using Gibbs Random FieldsIEEE Transactions on Pattern Analysis and Machine Intelligence, PAMI-9
-
Xiaodong Yue, D. Miao, N. Zhang, L. Cao, Qiang Wu (2012)
Multiscale roughness measure for color image segmentationInf. Sci., 216
-
Eun Kim, S. Park, H. Kim (2000)
A genetic algorithm-based segmentation of Markov random field modeled imagesIEEE Signal Processing Letters, 7
-
R. Poli, J. Kennedy, T. Blackwell (1995)
Particle swarm optimizationSwarm Intelligence, 1
-
Musrrat Ali, C. Ahn, M. Pant (2014)
Multi-level image thresholding by synergetic differential evolutionAppl. Soft Comput., 17
-
M. Forouzanfar, Nosratallah Forghani, M. Teshnehlab (2010)
Parameter optimization of improved fuzzy c-means clustering algorithm for brain MR image segmentationEng. Appl. Artif. Intell., 23
-
S. Rahnamayan, H. Tizhoosh (2008)
Image thresholding using micro opposition-based Differential Evolution (Micro-ODE)2008 IEEE Congress on Evolutionary Computation (IEEE World Congress on Computational Intelligence)
-
Heng-Da Cheng, Ying Sun (2000)
A hierarchical approach to color image segmentation using homogeneityIEEE transactions on image processing : a publication of the IEEE Signal Processing Society, 9 12
-
D. Swets, B. Punch, J. Weng (1995)
Genetic algorithms for object recognition in a complex sceneProceedings., International Conference on Image Processing, 2
-
(2013)
Artificial Bee Colonyand MRLDE embedded with Otsu method -
K. Hammouche, Moussa Diaf, P. Siarry (2008)
A multilevel automatic thresholding method based on a genetic algorithm for a fast image segmentationComput. Vis. Image Underst., 109
-
Jianqing Liu, Herbert Yang (1994)
Multiresolution Color Image SegmentationIEEE Trans. Pattern Anal. Mach. Intell., 16
-
A. Benaichouche, H. Oulhadj, P. Siarry (2013)
Improved spatial fuzzy c-means clustering for image segmentation using PSO initialization, Mahalanobis distance and post-segmentation correctionDigit. Signal Process., 23
-
B. Bhanu, Sungkee Lee, John Ming (1989)
Adaptive image segmentation using a genetic algorithmIEEE Transactions on Systems, Man, and Cybernetics, 25
-
M. Ahmed, M. Amin, M. Amin, Bruce Poon, Bruce Poon, H. Yan, H. Yan (2013)
Retina based biometric authentication using phase congruencyInternational Journal of Machine Learning and Cybernetics, 5
-
J. Holland (1975)
Adaptation in natural and artificial systems -
M. Saraswat, K. Arya, Harish Sharma (2013)
Leukocyte segmentation in tissue images using differential evolution algorithmSwarm Evol. Comput., 11
-
Feng Du, Wenkang Shi, Liangzhou Chen, Yong Deng, Zhenfu Zhu (2005)
Infrared image segmentation with 2-D maximum entropy method based on particle swarm optimization (PSO)Pattern Recognit. Lett., 26
-
Xiuxiu Xu, Jiuzhen Liang, Sisi Lv, Qin Wu (2014)
Human facial expression analysis based on image granule LPPInternational Journal of Machine Learning and Cybernetics, 5
-
E. Jiménez, D. Zaldívar, M. Cisneros (2010)
A novel multi-threshold segmentation approach based on differential evolution optimizationExpert Syst. Appl., 37
-
Akash Mohabey, A. Ray (2000)
Rough set theory based segmentation of color imagesPeachFuzz 2000. 19th International Conference of the North American Fuzzy Information Processing Society - NAFIPS (Cat. No.00TH8500)
-
Dong-Ling Tong, Robert Mintram (2010)
Genetic Algorithm-Neural Network (GANN): a study of neural network activation functions and depth of genetic algorithm search applied to feature selectionInternational Journal of Machine Learning and Cybernetics, 1
-
Vitorino Ramos, F. Muge (2004)
Image Colour Segmentation by Genetic AlgorithmsArXiv, abs/cs/0412087
-
P. Mesejo, Roberto Ugolotti, F. Cunto, M. Giacobini, S. Cagnoni (2013)
Automatic hippocampus localization in histological images using Differential Evolution-based deformable modelsPattern Recognit. Lett., 34
- Publisher
- Springer Journals
- Copyright
- Copyright © 2015 by Springer-Verlag Berlin Heidelberg
- Subject
- Engineering; Computational Intelligence; Artificial Intelligence (incl. Robotics); Control, Robotics, Mechatronics; Complex Systems; Systems Biology; Pattern Recognition
- ISSN
- 1868-8071
- eISSN
- 1868-808X
- DOI
- 10.1007/s13042-015-0360-7
- Publisher site
- See Article on Publisher Site
Abstract
Due to the complexity of underlying data in a color image, retrieval of specific object features and relevant information becomes a complex task. Colour images have different color components and a variety of colour intensity which makes segmentation very challenging. In this paper we suggest a fitness function based on pixel-by-pixel values and optimize these values through evolutionary algorithms like differential evolution (DE), particle swarm optimization (PSO) and genetic algorithms (GA). The corresponding variants are termed GA-SA, PSO-SA and DE-SA; where SA stands for Segmentation Algorithm. Experimental results show that DE performed better in comparison of PSO and GA on the basis of computational time and quality of segmented image.
Journal
International Journal of Machine Learning and Cybernetics – Springer Journals
Published: Apr 23, 2015