{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,28]],"date-time":"2025-10-28T10:36:47Z","timestamp":1761647807419},"reference-count":44,"publisher":"University of Zielona G\u00f3ra, Poland","issue":"4","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2010,12,1]]},"abstract":"Integrated region-based segmentation using color components and texture features with prior shape knowledge<\/jats:title>Segmentation is the art of partitioning an image into different regions where each one has some degree of uniformity in its feature space. A number of methods have been proposed and blind segmentation is one of them. It uses intrinsic image features, such as pixel intensity, color components and texture. However, some virtues, like poor contrast, noise and occlusion, can weaken the procedure. To overcome them, prior knowledge of the object of interest has to be incorporated in a top-down procedure for segmentation. Consequently, in this work, a novel integrated algorithm is proposed combining bottom-up (blind) and top-down (including shape prior) techniques. First, a color space transformation is performed. Then, an energy function (based on nonlinear diffusion of color components and directional derivatives) is defined. Next, signeddistance functions are generated from different shapes of the object of interest. Finally, a variational framework (based on the level set) is employed to minimize the energy function. The experimental results demonstrate a good performance of the proposed method compared with others and show its robustness in the presence of noise and occlusion. The proposed algorithm is applicable in outdoor and medical image segmentation and also in optical character recognition (OCR).<\/jats:p>","DOI":"10.2478\/v10006-010-0054-y","type":"journal-article","created":{"date-parts":[[2010,12,22]],"date-time":"2010-12-22T02:43:15Z","timestamp":1292985795000},"page":"711-726","source":"Crossref","is-referenced-by-count":5,"title":["Integrated region-based segmentation using color components and texture features with prior shape knowledge"],"prefix":"10.61822","volume":"20","author":[{"given":"Mehryar","family":"Emambakhsh","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hossein","family":"Ebrahimnezhad","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mohammad","family":"Sedaaghi","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"37438","reference":[{"key":"1","unstructured":"Andreopoulos, A. and Tsotsos, J. K. (2010). Cardiac MRI dataset www.cse.yorku.ca\/mridataset\/<\/a>"},{"issue":"4","key":"2","first-page":"471","article-title":"Image retrieval based on hierarchical Gabor filters","volume":"15","author":"T. Andrysiak","year":"2005","journal-title":"International Journal of Applied Mathematics and Computer Science"},{"key":"3","article-title":"Online arabic handwriting recognition using hidden Markov models","author":"F. Biasdy","year":"2006"},{"issue":"12","key":"4","doi-asserted-by":"crossref","first-page":"2259","DOI":"10.1016\/S0031-3203(00)00149-7","article-title":"Color image segmentation: Advances and prospects","volume":"34","author":"H. Cheng","year":"2001","journal-title":"Pattern Recognition"},{"issue":"2","key":"5","doi-asserted-by":"crossref","first-page":"195","DOI":"10.1007\/s11263-006-8711-1","article-title":"A review of statistical approaches to level sets segmentation: Integrating colour, texture, motion and shape","volume":"72","author":"S. Cremers","year":"2007","journal-title":"International Journal of Computer Vision"},{"key":"6","doi-asserted-by":"crossref","first-page":"800","DOI":"10.1007\/11925231_76","volume-title":"MICAI 2006: Advances ina Artificial Intelligence","volume":"4293","author":"Z. Dokur","year":"2006"},{"issue":"18","key":"7","first-page":"2982","article-title":"A languageindependent, open-vocabulary system based on hmms for recognition of ultra low resolution words","volume":"14","author":"F. Einsele","year":"2008","journal-title":"Journal of Universal Computer Science"},{"key":"8","first-page":"270","article-title":"A hybrid top-down\/bottom up approach for image segmentation incorporating color and texture with prior shape knowledge","author":"M. Emambakhsh","year":"2010"},{"key":"9","first-page":"123","article-title":"Automatic MRI brain segmentation using local features, self-organizing maps, and watershed","author":"M. Emambakhsh","year":"2009"},{"key":"10","first-page":"65","article-title":"Levelset methods for tensor-valued images","author":"C. Feddern","year":"2006"},{"key":"11","volume-title":"Computer Vision: AModern Approach","author":"D. Forsyth","year":"2002"},{"issue":"2","key":"12","doi-asserted-by":"crossref","first-page":"221","DOI":"10.1109\/42.141646","article-title":"Nonlinear anisotropic filtering of MRI data","volume":"11","author":"G. Gerig","year":"1992","journal-title":"IEEE Transactions on Medical Imaging"},{"key":"13","volume-title":"Genetic Algorithms in Search, Optimization, and Machine Learning","author":"D. Goldberg","year":"1989"},{"issue":"2","key":"14","doi-asserted-by":"crossref","first-page":"271","DOI":"10.1111\/j.2517-6161.1989.tb01764.x","article-title":"Exact maximum a posteriori estimation for binary images","volume":"51","author":"D. Greig","year":"1989","journal-title":"Journal of the Royal Statistical Society. Series B (Methodological)"},{"issue":"4","key":"15","doi-asserted-by":"crossref","first-page":"1316","DOI":"10.1109\/TIM.2007.899839","article-title":"Segmentation for MRA image: An improved level-set approach","volume":"56","author":"J. Hao","year":"2007","journal-title":"IEEE Transactions on Instrumentation and Measurement"},{"issue":"2","key":"16","doi-asserted-by":"publisher","first-page":"159","DOI":"10.2478\/v10006-008-0015-x","article-title":"Segmentation of breast cancer fine needle biopsy cytological images","volume":"18","author":"M. Hrebien","year":"2008","journal-title":"International Journal of Applied Mathematics and Computer Science"},{"key":"17","volume-title":"Fundamentals of Digital Image Processing","author":"A. Jain","year":"1989"},{"issue":"4","key":"18","doi-asserted-by":"crossref","first-page":"321","DOI":"10.1007\/BF00133570","article-title":"Snakes, active contour model","volume":"1","author":"M. Kass","year":"1988","journal-title":"International Journal of Computer Vision"},{"issue":"4598","key":"19","first-page":"671","article-title":"Optimization by simulated annealing","volume":"220","author":"S. Kirkpatrick","year":"1983","journal-title":"Science Magazine"},{"issue":"3","key":"20","doi-asserted-by":"crossref","first-page":"191","DOI":"10.1016\/j.cmpb.2008.04.010","article-title":"Brain MR images segmentation using statistical ratio: Mapping between watershed and competitive Hopfield clustering network algorithms","volume":"91","author":"W. Kuo","year":"2008","journal-title":"Computer Methods and Programs in Biomedicine"},{"issue":"1","key":"21","doi-asserted-by":"crossref","first-page":"248","DOI":"10.1016\/j.eswa.2007.09.003","article-title":"A hierarchical evolutionary algorithm for automatic medical image segmentation","volume":"36","author":"C. Lai","year":"2009","journal-title":"Expert Systems with Applications"},{"issue":"2","key":"22","doi-asserted-by":"crossref","first-page":"164","DOI":"10.1090\/qam\/10666","article-title":"A method for the solution of certain problems in least-squares","volume":"2","author":"K. Levenberg","year":"1944","journal-title":"Quarterly Applied Mathematics"},{"issue":"4","key":"23","doi-asserted-by":"crossref","first-page":"1082","DOI":"10.1137\/S1052623496300507","article-title":"Pattern search algorithms for bound constrained minimization","volume":"9","author":"R. Lewis","year":"1999","journal-title":"SIAM Journal on Optimization"},{"key":"24","doi-asserted-by":"crossref","first-page":"132","DOI":"10.1007\/11889762_12","article-title":"An integrated algorithm for MRI brain images segmentation","volume":"4241","author":"Y. Lu","year":"2006","journal-title":"Computer Vision Approaches to Medical Image Analysis"},{"issue":"11","key":"25","doi-asserted-by":"crossref","first-page":"1818","DOI":"10.1109\/TPAMI.2006.232","article-title":"Optical flow 3d segmentation and interpretation: A variational method with active curve evolution and level sets","volume":"28","author":"A. Mitiche","year":"2006","journal-title":"IEEE Transactions on Pattern Analysis and Machine Intelligence"},{"issue":"4","key":"26","doi-asserted-by":"crossref","first-page":"279","DOI":"10.1016\/S0262-8856(02)00021-5","article-title":"Segmentation of color images using a twostage self-organizing network","volume":"20","author":"S. Ong","year":"2002","journal-title":"Image and Vision Computing"},{"issue":"1","key":"27","doi-asserted-by":"crossref","first-page":"12","DOI":"10.1016\/0021-9991(88)90002-2","article-title":"Fronts propagating with curvature dependent speed: Algorithms based on Hamilton-Jacobi formulations","volume":"79","author":"S. Osher","year":"1988","journal-title":"Journal of Computationl Physics"},{"issue":"7","key":"28","doi-asserted-by":"crossref","first-page":"629","DOI":"10.1109\/34.56205","article-title":"Scale space and edge detection using anisotropic diffusion","volume":"12","author":"P. Perona","year":"1990","journal-title":"IEEE Transactions on Pattern Analysis and Machine Intelligence"},{"issue":"7","key":"29","doi-asserted-by":"crossref","first-page":"2358","DOI":"10.1016\/j.patcog.2007.12.011","article-title":"Aconstrained region growing approach based on watershed for the segmentation of low contrast structures in bone micro-CT images","volume":"41","author":"Z. Petera","year":"2008","journal-title":"Pattern Recognition"},{"issue":"3","key":"30","doi-asserted-by":"crossref","first-page":"287","DOI":"10.1007\/s00138-008-0159-6","article-title":"Texture pattern analysis of kidney tissues for disorder identification and classification using dominant Gabor wavelet","volume":"21","author":"K. Raja","year":"2010","journal-title":"Machine Vision and Applications"},{"issue":"5","key":"31","doi-asserted-by":"crossref","first-page":"483","DOI":"10.1007\/s10278-008-9151-y","article-title":"Semi-automated phalanx bone segmentation using the expectation maximization algorithm","volume":"22","author":"A. Ramme","year":"2009","journal-title":"Journal of Digital Imaging"},{"key":"32","unstructured":"Ranganathan, A. (2004). The Levenberg-Marquardt algorithm, Technical report<\/i> http:\/\/www.scribd.com\/doc\/10093320\/Levenberg-Marquardt-Algorithm<\/a>"},{"key":"33","first-page":"699","article-title":"Active unsupervised texture segmentation on a diffusion based feature space","author":"M. Rousson","year":"2003"},{"key":"34","unstructured":"Roweis, S. (n.d.). Levenberg-Marquardt optimization http:\/\/www.cs.nyu.edu\/roweis\/notes\/lm.pdf<\/a>"},{"key":"35","first-page":"178","article-title":"Gabor filter analysis for texture segmentation","author":"R. Sandler","year":"2006"},{"key":"36","unstructured":"Skarbek, W. and Koschan, A. (1994). Color image segmentation\u2014A survey, Technical report<\/i>, University of Berlin, Berlin."},{"issue":"6","key":"37","doi-asserted-by":"crossref","first-page":"1633","DOI":"10.1109\/TIP.2006.871133","article-title":"Integrated active contours for texture segmentation","volume":"16","author":"C. Sagiv","year":"2006","journal-title":"IEEE Transactions on Image Processing"},{"key":"38","first-page":"1081","article-title":"Automatic single-organ segmentation in computed tomography images","author":"R. Susomboon","year":"2006"},{"key":"39","unstructured":"The-ViewCVS-Group (2010). Caltech 101 dataset http:\/\/grey.colorado.edu<\/a>"},{"issue":"1","key":"40","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1137\/S1052623493250780","article-title":"On the convergence of pattern search algorithms","volume":"7","author":"V. Torczon","year":"1997","journal-title":"SIAM Journal on Optimization"},{"issue":"2","key":"41","doi-asserted-by":"crossref","first-page":"137","DOI":"10.1109\/TMI.2002.808355","article-title":"A shapebased approach to the segmentation of medical imagery using level sets","volume":"22","author":"A. Tsai","year":"2003","journal-title":"IEEE Transactions on Medical Imaging"},{"issue":"6","key":"42","doi-asserted-by":"crossref","first-page":"583","DOI":"10.1109\/34.87344","article-title":"Watersheds in digital spaces: An efficient algorithm based on immersion simulations","volume":"13","author":"L. Vincent","year":"1991","journal-title":"Pattern Analysis and Machine Intelligence"},{"issue":"8","key":"43","doi-asserted-by":"crossref","first-page":"685","DOI":"10.1016\/j.compmedimag.2008.08.004","article-title":"A modified FCM algorithm for MRI brain image segmentation using both local and non-local spatial constraints","volume":"32","author":"J. Wang","year":"2008","journal-title":"Computerized Medical Imaging and Graphics"},{"key":"44","first-page":"228","article-title":"An affine invariant tensor dissimilarity measure and its applications to tensor-valued image segmentation","author":"Z. Wang","year":"2004"}],"container-title":["International Journal of Applied Mathematics and Computer Science"],"original-title":[],"link":[{"URL":"http:\/\/content.sciendo.com\/view\/journals\/amcs\/20\/4\/article-p711.xml","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/www.degruyter.com\/view\/j\/amcs.2010.20.issue-4\/v10006-010-0054-y\/v10006-010-0054-y.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,2,29]],"date-time":"2024-02-29T10:27:57Z","timestamp":1709202477000},"score":1,"resource":{"primary":{"URL":"https:\/\/content.sciendo.com\/doi\/10.2478\/v10006-010-0054-y"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2010,12,1]]},"references-count":44,"journal-issue":{"issue":"4"},"URL":"https:\/\/doi.org\/10.2478\/v10006-010-0054-y","relation":{},"ISSN":["1641-876X"],"issn-type":[{"value":"1641-876X","type":"print"}],"subject":[],"published":{"date-parts":[[2010,12,1]]}}}