{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,6,16]],"date-time":"2024-06-16T05:55:45Z","timestamp":1718517345989},"reference-count":40,"publisher":"Elsevier BV","issue":"7","license":[{"start":{"date-parts":[[2002,5,1]],"date-time":"2002-05-01T00:00:00Z","timestamp":1020211200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Image and Vision Computing"],"published-print":{"date-parts":[[2002,5]]},"DOI":"10.1016\/s0262-8856(02)00023-9","type":"journal-article","created":{"date-parts":[[2002,7,25]],"date-time":"2002-07-25T23:59:40Z","timestamp":1027641580000},"page":"483-497","source":"Crossref","is-referenced-by-count":15,"title":["Image segmentation by relaxation using constraint satisfaction neural network"],"prefix":"10.1016","volume":"20","author":[{"given":"Fatih","family":"Kurugollu","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"B\u00fclent","family":"Sankur","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"A.","family":"Emre Harmanc\u0131","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"78","reference":[{"key":"10.1016\/S0262-8856(02)00023-9_BIB1","doi-asserted-by":"crossref","first-page":"1277","DOI":"10.1016\/0031-3203(93)90135-J","article-title":"A review on image segmentation techniques","volume":"26","author":"Pal","year":"1993","journal-title":"Pattern Recognition"},{"key":"10.1016\/S0262-8856(02)00023-9_BIB2","doi-asserted-by":"crossref","unstructured":"G. Minchin, A. Zaknich, A design for FPGA implementation of the probabilistic neural network, Sixth International Conference on Neural Information Processing, Perth, WA, IEEE, 2, 1999 pp. 556\u2013559.","DOI":"10.1109\/ICONIP.1999.845654"},{"key":"10.1016\/S0262-8856(02)00023-9_BIB3","unstructured":"J. Kowalski, M. Strzelecki, A VLSI Kohonen neural network chip and its basic measurement results. International Symposium Nonlinear Theory and its Applications, (NOLTA. 2000), Dresden, Germany, 2000, September, 17\u201321."},{"key":"10.1016\/S0262-8856(02)00023-9_BIB4","doi-asserted-by":"crossref","unstructured":"L. Yang, L.O. Chua, K.R. Krieg, VLSI implementation of cellular neural networks, Proceedings of IEEE International Symposium on Circuits and Systems, (ISCAS'90), 1990, pp. 2425\u20132427.","DOI":"10.1109\/ISCAS.1990.112500"},{"key":"10.1016\/S0262-8856(02)00023-9_BIB5","doi-asserted-by":"crossref","unstructured":"K.R. Perko, I. Fajfar, T. Tuma, J. Puhan, Low-cost, high-performance CNN simulator implemented in FPGA, Proceedings of IEEE International Workshop on Cellular Neural Networks and Their Applications, (CNNA'2000), 2000, Catania, pp. 277\u2013282.","DOI":"10.1109\/CNNA.2000.876858"},{"key":"10.1016\/S0262-8856(02)00023-9_BIB6","doi-asserted-by":"crossref","first-page":"534","DOI":"10.1109\/42.241881","article-title":"Neural-network-based segmentation of multi-modal medical images: a comparative and prospective study","volume":"12","author":"Ozkan","year":"1993","journal-title":"IEEE Transactions on Medical Imaging"},{"key":"10.1016\/S0262-8856(02)00023-9_BIB7","doi-asserted-by":"crossref","first-page":"1197","DOI":"10.1109\/34.387488","article-title":"Color image segmentation using competitive learning","volume":"16","author":"Uchiyama","year":"1994","journal-title":"IEEE Transactions on PAMI"},{"key":"10.1016\/S0262-8856(02)00023-9_BIB8","doi-asserted-by":"crossref","first-page":"175","DOI":"10.1109\/72.554203","article-title":"Adaptive colour segmentation\u2014a comparison of neural and statistical methods","volume":"8","author":"Littmann","year":"1997","journal-title":"IEEE Transactions on Neural Network"},{"key":"10.1016\/S0262-8856(02)00023-9_BIB9","doi-asserted-by":"crossref","first-page":"173","DOI":"10.1016\/S0167-8655(97)00004-4","article-title":"Colour image segmentation by modular neural network","volume":"18","author":"Verikas","year":"1997","journal-title":"Pattern Recognition Letters"},{"key":"10.1016\/S0262-8856(02)00023-9_BIB10","doi-asserted-by":"crossref","first-page":"37","DOI":"10.1016\/S0167-8655(96)00117-1","article-title":"A Hopfield neural network for adaptive image segmentation: an active surface paradigm","volume":"18","author":"Shen","year":"1997","journal-title":"Pattern Recognition Letters"},{"key":"10.1016\/S0262-8856(02)00023-9_BIB11","doi-asserted-by":"crossref","first-page":"131","DOI":"10.1080\/02664768900000014","article-title":"Random field models in image analysis","volume":"16","author":"Dubes","year":"1989","journal-title":"Journal of Applied Statistics"},{"key":"10.1016\/S0262-8856(02)00023-9_BIB12","series-title":"Markov Random Field Modeling in Computer Vision","author":"Li","year":"1995"},{"key":"10.1016\/S0262-8856(02)00023-9_BIB13","doi-asserted-by":"crossref","first-page":"1039","DOI":"10.1109\/29.56064","article-title":"Stochastic and deterministic networks for texture segmentation","volume":"38","author":"Manjunath","year":"1990","journal-title":"IEEE Transaction on ASSP"},{"key":"10.1016\/S0262-8856(02)00023-9_BIB14","doi-asserted-by":"crossref","first-page":"1376","DOI":"10.1109\/83.624953","article-title":"Unsupervised texture classification using vector quantization and deterministic neural network","volume":"6","author":"Raghu","year":"1997","journal-title":"IEEE Transaction on Image Processing"},{"key":"10.1016\/S0262-8856(02)00023-9_BIB15","doi-asserted-by":"crossref","first-page":"1625","DOI":"10.1109\/83.544570","article-title":"Segmentation of Gabor-filtered textures using deterministic relaxation","volume":"5","author":"Raghu","year":"1996","journal-title":"IEEE Transactions on Image Processing"},{"key":"10.1016\/S0262-8856(02)00023-9_BIB16","doi-asserted-by":"crossref","first-page":"45","DOI":"10.1117\/1.482625","article-title":"Cellular neural network architecture for Gibbs random-field-based image segmentation","volume":"7","author":"Chen","year":"1998","journal-title":"Journal of Electronic Imaging"},{"key":"10.1016\/S0262-8856(02)00023-9_BIB17","doi-asserted-by":"crossref","first-page":"901","DOI":"10.1109\/78.127962","article-title":"An adaptive clustering algorithm for image segmentation","volume":"40","author":"Pappas","year":"1992","journal-title":"IEEE Transaction on Signal Processing"},{"key":"10.1016\/S0262-8856(02)00023-9_BIB18","doi-asserted-by":"crossref","first-page":"679","DOI":"10.1016\/0031-3203(92)90132-3","article-title":"Constraint satisfaction neural networks for image segmentation","volume":"25","author":"Lin","year":"1992","journal-title":"Pattern Recognition"},{"key":"10.1016\/S0262-8856(02)00023-9_BIB19","doi-asserted-by":"crossref","unstructured":"D. Abramson, K. Smith, P. Logethetis, D. Duke, FPGA based implementation of a Hopfield neural network for solving constraint satisfaction problems, Proceedings EuroMicro Workshop on Computational Intelligence, 1998, pp. 688\u2013693.","DOI":"10.1109\/EURMIC.1998.708089"},{"key":"10.1016\/S0262-8856(02)00023-9_BIB20","doi-asserted-by":"crossref","first-page":"1454","DOI":"10.1109\/83.951532","article-title":"Automatic image segmentation by integrating color-edge extraction and seeded region growing","volume":"10","author":"Fan","year":"2001","journal-title":"IEEE Transaction on Image Processing"},{"key":"10.1016\/S0262-8856(02)00023-9_BIB21","doi-asserted-by":"crossref","first-page":"1241","DOI":"10.1109\/34.250843","article-title":"The integration of image segmentation maps using region and edge information","volume":"15","author":"Chu","year":"1993","journal-title":"IEEE Transaction on PAMI"},{"key":"10.1016\/S0262-8856(02)00023-9_BIB22","doi-asserted-by":"crossref","first-page":"225","DOI":"10.1109\/34.49050","article-title":"Integration region growing and edge detection","volume":"12","author":"Pavlidis","year":"1990","journal-title":"IEEE Transaction on PAMI"},{"key":"10.1016\/S0262-8856(02)00023-9_BIB23","doi-asserted-by":"crossref","first-page":"105","DOI":"10.1016\/S0031-3203(97)00027-7","article-title":"A new approach of color images segmentation based on fusion region and edge segmentation outputs","volume":"31","author":"Zugaj","year":"1998","journal-title":"Pattern Recognition"},{"key":"10.1016\/S0262-8856(02)00023-9_BIB24","doi-asserted-by":"crossref","first-page":"345","DOI":"10.1016\/0262-8856(94)90059-0","article-title":"Segmentation of magnetic resonance brain images using analogue constraint satisfaction neural networks","volume":"12","author":"Worth","year":"1994","journal-title":"Image and Vision Computing"},{"key":"10.1016\/S0262-8856(02)00023-9_BIB25","doi-asserted-by":"crossref","unstructured":"F. Kurug\u00f6ll\u00fc, S. Birecik, M. Sezgin, B. Sankur, Image segmentation based on boundary constraint neural network, Proceedings of Third International Workshop on Image and Signal Processing on the Theme of Advances in Computational Intelligence, Manchester, UK, November 4\u20137, 1996, pp. 353\u2013356.","DOI":"10.1016\/B978-044482587-2\/50078-1"},{"key":"10.1016\/S0262-8856(02)00023-9_BIB26","doi-asserted-by":"crossref","first-page":"679","DOI":"10.1109\/TPAMI.1986.4767851","article-title":"A computational approach to edge detection","volume":"8","author":"Canny","year":"1986","journal-title":"IEEE Transaction on PAMI"},{"key":"10.1016\/S0262-8856(02)00023-9_BIB27","doi-asserted-by":"crossref","first-page":"1553","DOI":"10.1016\/S0167-8655(99)00128-2","article-title":"Image segmentation based on multi-scan constraint satisfaction neural network","volume":"20","author":"Kurug\u00f6ll\u00fc","year":"1999","journal-title":"Pattern Recognition Letter"},{"key":"10.1016\/S0262-8856(02)00023-9_BIB28","first-page":"802","article-title":"Segmentation and estimation of image region properties through cooperative hierarchical computation","volume":"11","author":"Burt","year":"1981","journal-title":"IEEE Transactions On SMC"},{"key":"10.1016\/S0262-8856(02)00023-9_BIB29","unstructured":"F. Kurug\u00f6ll\u00fc, B. Sankur, Color cell image segmentation using pyramidal constraint satisfaction neural network, Proceedings of IAPR Workshop on Machine Vision Applications, Makuhari-Chiba, Japan, November 17\u201319, 1998, pp. 85\u201388."},{"key":"10.1016\/S0262-8856(02)00023-9_BIB30","doi-asserted-by":"crossref","first-page":"721","DOI":"10.1109\/TPAMI.1984.4767596","article-title":"Stochastic relaxation Gibbs distributions, and the Bayesian restoration of images","volume":"6","author":"Geman","year":"1984","journal-title":"IEEE Transaction on PAMI"},{"key":"10.1016\/S0262-8856(02)00023-9_BIB31","doi-asserted-by":"crossref","first-page":"101","DOI":"10.1016\/0146-664X(82)90040-5","article-title":"Image segmentation using simple Markov field models","volume":"20","author":"Hansen","year":"1982","journal-title":"Computer Graphics and Image Processing"},{"key":"10.1016\/S0262-8856(02)00023-9_BIB32","series-title":"Color Image Segmentation, in Advances in Image Analysis","author":"Daily","year":"1992"},{"key":"10.1016\/S0262-8856(02)00023-9_BIB33","doi-asserted-by":"crossref","first-page":"516","DOI":"10.1109\/72.668893","article-title":"Supervised texture classification using a probabilistic neural network and constraint satisfaction model","volume":"9","author":"Raghu","year":"1997","journal-title":"IEEE Transaction on Neural Networks"},{"key":"10.1016\/S0262-8856(02)00023-9_BIB34","doi-asserted-by":"crossref","unstructured":"F. Kurug\u00f6ll\u00fc, B. Sankur, MAP segmentation of color images using constraint satisfaction neural network, IEEE International Conference on Image Processing, Kobe, Japan, October 24\u201328 1999.","DOI":"10.1109\/ICIP.1999.817108"},{"key":"10.1016\/S0262-8856(02)00023-9_BIB35","unstructured":"F. Kurug\u00f6ll\u00fc, Color image segmentation: multithresholding and constraint satisfaction methods, PhD Dissertation, Istanbul Technical University, Control and Computer Engineering Department, Istanbul, Turkey, 1999."},{"key":"10.1016\/S0262-8856(02)00023-9_BIB36","doi-asserted-by":"crossref","first-page":"1300","DOI":"10.1109\/83.709662","article-title":"An image model based on occluding object images and maximum entropy","volume":"7","author":"Stuller","year":"1998","journal-title":"IEEE Transaction on Image Processing"},{"key":"10.1016\/S0262-8856(02)00023-9_BIB37","doi-asserted-by":"crossref","first-page":"217","DOI":"10.1016\/0031-3203(77)90006-1","article-title":"Error measures for scene segmentation","volume":"9","author":"Yasnoff","year":"1977","journal-title":"Pattern Recognition"},{"key":"10.1016\/S0262-8856(02)00023-9_BIB38","doi-asserted-by":"crossref","first-page":"209","DOI":"10.1109\/34.75509","article-title":"An efficient computable metric for comparing polygonal shapes","volume":"13","author":"Arkin","year":"1991","journal-title":"IEEE Transaction on PAMI"},{"key":"10.1016\/S0262-8856(02)00023-9_BIB39","doi-asserted-by":"crossref","first-page":"1009","DOI":"10.1109\/34.58873","article-title":"Model-fitting approach to cluster validation with application to stochastic model-based image segmentation","volume":"12","author":"Zhang","year":"1990","journal-title":"IEEE Transaction on PAMI"},{"key":"10.1016\/S0262-8856(02)00023-9_BIB40","series-title":"Digital Image Processing Algorithms and Applications","author":"Pitas","year":"2000"}],"container-title":["Image and Vision Computing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0262885602000239?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0262885602000239?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2019,4,12]],"date-time":"2019-04-12T17:55:07Z","timestamp":1555091707000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S0262885602000239"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2002,5]]},"references-count":40,"journal-issue":{"issue":"7","published-print":{"date-parts":[[2002,5]]}},"alternative-id":["S0262885602000239"],"URL":"https:\/\/doi.org\/10.1016\/s0262-8856(02)00023-9","relation":{},"ISSN":["0262-8856"],"issn-type":[{"value":"0262-8856","type":"print"}],"subject":[],"published":{"date-parts":[[2002,5]]}}}