{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,9]],"date-time":"2026-07-09T04:22:06Z","timestamp":1783570926738,"version":"3.55.0"},"reference-count":57,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2024,12,1]],"date-time":"2024-12-01T00:00:00Z","timestamp":1733011200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2024,12,1]],"date-time":"2024-12-01T00:00:00Z","timestamp":1733011200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2024,12,1]],"date-time":"2024-12-01T00:00:00Z","timestamp":1733011200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-017"},{"start":{"date-parts":[[2024,12,1]],"date-time":"2024-12-01T00:00:00Z","timestamp":1733011200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"},{"start":{"date-parts":[[2024,12,1]],"date-time":"2024-12-01T00:00:00Z","timestamp":1733011200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-012"},{"start":{"date-parts":[[2024,12,1]],"date-time":"2024-12-01T00:00:00Z","timestamp":1733011200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2024,12,1]],"date-time":"2024-12-01T00:00:00Z","timestamp":1733011200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-004"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100009014","name":"Lanzhou Jiaotong University","doi-asserted-by":"publisher","award":["61761027"],"award-info":[{"award-number":["61761027"]}],"id":[{"id":"10.13039\/501100009014","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Expert Systems with Applications"],"published-print":{"date-parts":[[2024,12]]},"DOI":"10.1016\/j.eswa.2024.124943","type":"journal-article","created":{"date-parts":[[2024,7,31]],"date-time":"2024-07-31T03:09:11Z","timestamp":1722395351000},"page":"124943","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":9,"special_numbering":"C","title":["Adaptive sparse regularized fuzzy clustering noise image segmentation algorithm based on complementary spatial information"],"prefix":"10.1016","volume":"256","author":[{"ORCID":"https:\/\/orcid.org\/0009-0005-7843-1462","authenticated-orcid":false,"given":"Jiaxin","family":"Wu","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2306-0754","authenticated-orcid":false,"given":"Xiaopeng","family":"Wang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yangyang","family":"Liu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6750-0200","authenticated-orcid":false,"given":"Chao","family":"Fang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"78","reference":[{"issue":"3","key":"10.1016\/j.eswa.2024.124943_b0005","doi-asserted-by":"crossref","first-page":"193","DOI":"10.1109\/42.996338","article-title":"A modified fuzzy c-means algorithm for bias field estimation and segmentation of MRI data","volume":"21","author":"Ahmed","year":"2002","journal-title":"IEEE Transactions on Medical Imaging"},{"issue":"5","key":"10.1016\/j.eswa.2024.124943_b0010","doi-asserted-by":"crossref","first-page":"898","DOI":"10.1109\/TPAMI.2010.161","article-title":"Contour Detection and Hierarchical Image Segmentation","volume":"33","author":"Arbel\u00e1ez","year":"2011","journal-title":"IEEE Transactions on Pattern Analysis and Machine Intelligence"},{"key":"10.1016\/j.eswa.2024.124943_b0015","doi-asserted-by":"crossref","first-page":"123","DOI":"10.1007\/s11263-007-0052-1","article-title":"Nonlocal Image and Movie Denoising","volume":"76","author":"Buades","year":"2008","journal-title":"International Journal of Computer Vision"},{"issue":"3","key":"10.1016\/j.eswa.2024.124943_b0020","doi-asserted-by":"crossref","first-page":"825","DOI":"10.1016\/j.patcog.2006.07.011","article-title":"Fast and robust fuzzy c-means clustering algorithms incorporating local information for image segmentation","volume":"40","author":"Cai","year":"2007","journal-title":"Pattern Recognition"},{"issue":"5","key":"10.1016\/j.eswa.2024.124943_b0025","doi-asserted-by":"crossref","first-page":"1351","DOI":"10.1109\/TFUZZ.2008.2005008","article-title":"A Fuzzy Clustering Approach Toward Hidden Markov Random Field Models for Enhanced Spatially Constrained Image Segmentation","volume":"16","author":"Chatzis","year":"2008","journal-title":"IEEE Transactions on Fuzzy Systems"},{"issue":"2","key":"10.1016\/j.eswa.2024.124943_b0030","doi-asserted-by":"crossref","first-page":"1144","DOI":"10.1109\/TGRS.2017.2760909","article-title":"Multilabel Remote Sensing Image Retrieval Using a Semisupervised Graph-Theoretic Method","volume":"56","author":"Chaudhuri","year":"2018","journal-title":"IEEE Transactions on Geoscience and Remote Sensing"},{"issue":"7","key":"10.1016\/j.eswa.2024.124943_b0035","doi-asserted-by":"crossref","first-page":"2494","DOI":"10.1109\/TMI.2020.2972701","article-title":"Unsupervised Bidirectional Cross-Modality Adaptation via Deeply Synergistic Image and Feature Alignment for Medical Image Segmentation","volume":"39","author":"Chen","year":"2020","journal-title":"IEEE Transactions on Medical Imaging"},{"issue":"4","key":"10.1016\/j.eswa.2024.124943_b0040","doi-asserted-by":"crossref","first-page":"1907","DOI":"10.1109\/TSMCB.2004.831165","article-title":"Robust image segmentation using FCM with spatial constraints based on new kernel-induced distance measure","volume":"34","author":"Chen","year":"2004","journal-title":"IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics)"},{"key":"10.1016\/j.eswa.2024.124943_b0045","doi-asserted-by":"crossref","DOI":"10.1016\/j.sigpro.2019.107347","article-title":"BCEFCM_S: Bias correction embedded fuzzy c-means with spatial constraint to segment multiple spectral images with intensity inhomogeneities and noises","volume":"168","author":"Feng","year":"2020","journal-title":"Signal Processing"},{"key":"10.1016\/j.eswa.2024.124943_b0050","doi-asserted-by":"crossref","DOI":"10.1016\/j.asoc.2021.108005","article-title":"CGFFCM: Cluster-weight and Group-local Feature-weight learning in Fuzzy C-Means clustering algorithm for color image segmentation","volume":"113","author":"Golzari Oskouei","year":"2021","journal-title":"Applied Soft Computing"},{"issue":"2","key":"10.1016\/j.eswa.2024.124943_b0055","doi-asserted-by":"crossref","first-page":"573","DOI":"10.1109\/TIP.2012.2219547","article-title":"Fuzzy C-Means Clustering With Local Information and Kernel Metric for Image Segmentation","volume":"22","author":"Gong","year":"2013","journal-title":"IEEE Transactions on Image Processing"},{"issue":"4","key":"10.1016\/j.eswa.2024.124943_b0060","doi-asserted-by":"crossref","first-page":"447","DOI":"10.1109\/TMI.2004.824224","article-title":"Improved watershed transform for medical image segmentation using prior information","volume":"23","author":"Grau","year":"2004","journal-title":"IEEE Transactions on Medical Imaging"},{"issue":"2","key":"10.1016\/j.eswa.2024.124943_b0065","doi-asserted-by":"crossref","first-page":"612","DOI":"10.1109\/TFUZZ.2017.2686804","article-title":"Fuzzy Double C-Means Clustering Based on Sparse Self-Representation","volume":"26","author":"Gu","year":"2018","journal-title":"IEEE Transactions on Fuzzy Systems"},{"issue":"2","key":"10.1016\/j.eswa.2024.124943_b0070","doi-asserted-by":"crossref","first-page":"211","DOI":"10.1007\/s10115-008-0160-4","article-title":"Object discovery in high-resolution remote sensing images: A semantic perspective","volume":"19","author":"Guo","year":"2009","journal-title":"Knowledge and Information Systems"},{"key":"10.1016\/j.eswa.2024.124943_b0075","doi-asserted-by":"crossref","first-page":"307","DOI":"10.1007\/s11760-011-0239-3","article-title":"Face detection evaluation: A new approach based on the golden ratio \u03a6","volume":"7","author":"Hassaballah","year":"2013","journal-title":"Signal, Image and Video Processing"},{"key":"10.1016\/j.eswa.2024.124943_b0080","first-page":"607","article-title":"Efficient filter flow for space-variant multiframe blind deconvolution","volume":"2010","author":"Hirsch","year":"2010","journal-title":"IEEE Computer Society Conference on Computer Vision and Pattern Recognition"},{"key":"10.1016\/j.eswa.2024.124943_b0085","doi-asserted-by":"crossref","DOI":"10.1016\/j.eswa.2021.115659","article-title":"Automated classification of remote sensing images using multileveled MobileNetV2 and DWT techniques","volume":"185","author":"Karadal","year":"2021","journal-title":"Expert Systems with Applications"},{"issue":"3","key":"10.1016\/j.eswa.2024.124943_b0090","doi-asserted-by":"crossref","first-page":"234","DOI":"10.1006\/acha.2000.0343","article-title":"Complex Wavelets for Shift Invariant Analysis and Filtering of Signals","volume":"10","author":"Kingsbury","year":"2001","journal-title":"Applied and Computational Harmonic Analysis"},{"issue":"5","key":"10.1016\/j.eswa.2024.124943_b0095","doi-asserted-by":"crossref","first-page":"1328","DOI":"10.1109\/TIP.2010.2040763","article-title":"A Robust Fuzzy Local Information C-Means Clustering Algorithm","volume":"19","author":"Krinidis","year":"2010","journal-title":"IEEE Transactions on Image Processing"},{"issue":"5","key":"10.1016\/j.eswa.2024.124943_b0100","doi-asserted-by":"crossref","first-page":"3027","DOI":"10.1109\/TFUZZ.2018.2796074","article-title":"Significantly Fast and Robust Fuzzy C-Means Clustering Algorithm Based on Morphological Reconstruction and Membership Filtering","volume":"26","author":"Lei","year":"2018","journal-title":"IEEE Transactions on Fuzzy Systems"},{"issue":"9","key":"10.1016\/j.eswa.2024.124943_b0105","doi-asserted-by":"crossref","first-page":"1753","DOI":"10.1109\/TFUZZ.2018.2889018","article-title":"Superpixel-Based Fast Fuzzy C-Means Clustering for Color Image Segmentation","volume":"27","author":"Lei","year":"2019","journal-title":"IEEE Transactions on Fuzzy Systems"},{"key":"10.1016\/j.eswa.2024.124943_b0110","doi-asserted-by":"crossref","unstructured":"Li, M. J., Zhu, M.-C., Ma, Z., Li, P. S., Zhang, X. B., Hou, A. K., Shi, J. B., He, Y., Chen, K., Weng, T., He, Z. Y., Zheng, Z. Z., & Jiang, L. (2020). Classification of Surface Natural Resources based On U-NET and GF-1 Satellite Images. 2020 17th International Computer Conference on Wavelet Active Media Technology and Information Processing (ICCWAMTIP), 179\u2013182. https:\/\/doi.org\/10.1109\/ICCWAMTIP51612.2020.9317315.","DOI":"10.1109\/ICCWAMTIP51612.2020.9317315"},{"key":"10.1016\/j.eswa.2024.124943_b0115","doi-asserted-by":"crossref","DOI":"10.1016\/j.ssci.2020.105034","article-title":"A dynamical model of SARS-CoV-2 based on people flow networks","volume":"134","author":"L\u00f3pez","year":"2021","journal-title":"Safety Science"},{"key":"10.1016\/j.eswa.2024.124943_b0120","doi-asserted-by":"crossref","first-page":"700","DOI":"10.1016\/j.patcog.2016.09.030","article-title":"Semi-supervised learning and graph cuts for consensus based medical image segmentation","volume":"63","author":"Mahapatra","year":"2017","journal-title":"Pattern Recognition"},{"key":"10.1016\/j.eswa.2024.124943_b0125","doi-asserted-by":"crossref","first-page":"586","DOI":"10.1016\/j.asoc.2018.04.031","article-title":"Local contextual information and Gaussian function induced fuzzy clustering algorithm for brain MR image segmentation and intensity inhomogeneity estimation","volume":"68","author":"Mahata","year":"2018","journal-title":"Applied Soft Computing"},{"key":"10.1016\/j.eswa.2024.124943_b0130","article-title":"Fuzzy Bilateral Filtering for Color Images","author":"Morillas","year":"2006","journal-title":"International Conference on Image Analysis and Recognition"},{"issue":"12","key":"10.1016\/j.eswa.2024.124943_b0135","doi-asserted-by":"crossref","first-page":"1163","DOI":"10.1109\/34.546254","article-title":"Geodesic saliency of watershed contours and hierarchical segmentation","volume":"18","author":"Najman","year":"1996","journal-title":"IEEE Transactions on Pattern Analysis and Machine Intelligence"},{"issue":"7","key":"10.1016\/j.eswa.2024.124943_b0140","doi-asserted-by":"crossref","first-page":"1837","DOI":"10.1109\/JBHI.2020.2991043","article-title":"AI in Medical Imaging Informatics: Current Challenges and Future Directions","volume":"24","author":"Panayides","year":"2020","journal-title":"IEEE Journal of Biomedical and Health Informatics"},{"key":"10.1016\/j.eswa.2024.124943_b0145","doi-asserted-by":"crossref","first-page":"24","DOI":"10.1007\/s11263-007-0110-8","article-title":"A Fast Approximation of the Bilateral Filter Using a Signal Processing Approach","volume":"81","author":"Paris","year":"2006","journal-title":"International Journal of Computer Vision"},{"key":"10.1016\/j.eswa.2024.124943_b0150","doi-asserted-by":"crossref","first-page":"346","DOI":"10.1109\/TIFS.2020.3013209","article-title":"Soft Semantic Representation for Cross-Domain Face Recognition","volume":"16","author":"Peng","year":"2021","journal-title":"IEEE Transactions on Information Forensics and Security"},{"key":"10.1016\/j.eswa.2024.124943_b0155","doi-asserted-by":"crossref","first-page":"201","DOI":"10.1109\/TMI.2013.2270114","article-title":"Unsupervised Segmentation, Clustering, and Groupwise Registration of Heterogeneous Populations of Brain MR Images","volume":"33","author":"Ribbens","year":"2014","journal-title":"IEEE Transactions on Medical Imaging"},{"issue":"4","key":"10.1016\/j.eswa.2024.124943_b0160","doi-asserted-by":"crossref","first-page":"640","DOI":"10.1109\/TPAMI.2016.2572683","article-title":"Fully Convolutional Networks for Semantic Segmentation","volume":"39","author":"Shelhamer","year":"2017","journal-title":"IEEE Transactions on Pattern Analysis and Machine Intelligence"},{"issue":"3","key":"10.1016\/j.eswa.2024.124943_b0165","doi-asserted-by":"crossref","first-page":"521","DOI":"10.1016\/j.chaos.2006.03.005","article-title":"The golden ratio in special relativity","volume":"30","author":"Sigalotti","year":"2006","journal-title":"Chaos, Solitons & Fractals"},{"key":"10.1016\/j.eswa.2024.124943_b0170","doi-asserted-by":"crossref","first-page":"89","DOI":"10.1016\/j.aasri.2014.05.013","article-title":"Comparison of Regularization Methods for ImageNet Classification with Deep Convolutional Neural Networks","volume":"6","author":"Smirnov","year":"2014","journal-title":"AASRI Procedia"},{"key":"10.1016\/j.eswa.2024.124943_b0175","doi-asserted-by":"crossref","unstructured":"Szilagyi, L., Benyo, Z., Szilagyi, S. M., & Adam, H. S. (2003). MR brain image segmentation using an enhanced fuzzy C-means algorithm. Proceedings of the 25th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (IEEE Cat. No.03CH37439), 1, 724-726 Vol.1. https:\/\/doi.org\/10.1109\/IEMBS.2003.1279866.","DOI":"10.1109\/IEMBS.2003.1279866"},{"issue":"2","key":"10.1016\/j.eswa.2024.124943_b0180","doi-asserted-by":"crossref","first-page":"176","DOI":"10.1109\/83.217222","article-title":"Morphological grayscale reconstruction in image analysis: Applications and efficient algorithms","volume":"2","author":"Vincent","year":"1993","journal-title":"IEEE Transactions on Image Processing"},{"issue":"9","key":"10.1016\/j.eswa.2024.124943_b0185","doi-asserted-by":"crossref","first-page":"3938","DOI":"10.1109\/TCYB.2019.2921779","article-title":"Wavelet Frame-Based Fuzzy C-Means Clustering for Segmenting Images on Graphs","volume":"50","author":"Wang","year":"2020","journal-title":"IEEE Transactions on Cybernetics"},{"issue":"7","key":"10.1016\/j.eswa.2024.124943_b0190","doi-asserted-by":"crossref","first-page":"1826","DOI":"10.1109\/TFUZZ.2020.2985930","article-title":"Sparse Regularization-Based Fuzzy C-Means Clustering Incorporating Morphological Grayscale Reconstruction and Wavelet Frames","volume":"29","author":"Wang","year":"2021","journal-title":"IEEE Transactions on Fuzzy Systems"},{"issue":"1","key":"10.1016\/j.eswa.2024.124943_b0195","doi-asserted-by":"crossref","first-page":"228","DOI":"10.1109\/TGRS.2017.2745507","article-title":"Optimal Segmentation of High-Resolution Remote Sensing Image by Combining Superpixels With the Minimum Spanning Tree","volume":"56","author":"Wang","year":"2018","journal-title":"IEEE Transactions on Geoscience and Remote Sensing"},{"key":"10.1016\/j.eswa.2024.124943_b0200","doi-asserted-by":"crossref","DOI":"10.1016\/j.asoc.2021.107245","article-title":"Fuzzy image clustering incorporating local and region-level information with median memberships","volume":"105","author":"Wang","year":"2021","journal-title":"Applied Soft Computing"},{"key":"10.1016\/j.eswa.2024.124943_b0205","doi-asserted-by":"crossref","DOI":"10.1016\/j.asoc.2020.106318","article-title":"Robust fuzzy c-means clustering algorithm with adaptive spatial & intensity constraint and membership linking for noise image segmentation","volume":"92","author":"Wang","year":"2020","journal-title":"Applied Soft Computing"},{"issue":"10","key":"10.1016\/j.eswa.2024.124943_b0210","doi-asserted-by":"crossref","first-page":"7040","DOI":"10.1016\/j.eswa.2010.03.014","article-title":"A New Wavelet-based image denoising using undecimated discrete wavelet transform and least squares support vector machine","volume":"37","author":"Wang","year":"2010","journal-title":"Expert Systems with Applications"},{"key":"10.1016\/j.eswa.2024.124943_b0215","doi-asserted-by":"crossref","DOI":"10.1016\/j.engappai.2021.104209","article-title":"An image segmentation method based on a modified local-information weighted intuitionistic Fuzzy C-means clustering and Gold-panning Algorithm","volume":"101","author":"Wei","year":"2021","journal-title":"Engineering Applications of Artificial Intelligence"},{"key":"10.1016\/j.eswa.2024.124943_b0220","doi-asserted-by":"crossref","DOI":"10.1016\/j.engappai.2022.104672","article-title":"Fuzzy subspace clustering noisy image segmentation algorithm with adaptive local variance & non-local information and mean membership linking","volume":"110","author":"Wei","year":"2022","journal-title":"Engineering Applications of Artificial Intelligence"},{"key":"10.1016\/j.eswa.2024.124943_b0225","doi-asserted-by":"crossref","first-page":"357","DOI":"10.1109\/TPAMI.1982.4767266","article-title":"Cluster Validity for the Fuzzy c-Means Clustering Algorithrm","volume":"PAMI-4(4)","author":"Windham","year":"1982","journal-title":"IEEE Transactions on Pattern Analysis and Machine Intelligence"},{"issue":"1","key":"10.1016\/j.eswa.2024.124943_b0230","doi-asserted-by":"crossref","first-page":"68","DOI":"10.1109\/TMI.2006.885337","article-title":"An Optimal Radial Profile Order Based on the Golden Ratio for Time-Resolved MRI","volume":"26","author":"Winkelmann","year":"2007","journal-title":"IEEE Transactions on Medical Imaging"},{"key":"10.1016\/j.eswa.2024.124943_b0235","doi-asserted-by":"crossref","DOI":"10.1016\/j.eswa.2022.117019","article-title":"A modified fuzzy dual-local information c-mean clustering algorithm using quadratic surface as prototype for image segmentation","volume":"201","author":"Wu","year":"2022","journal-title":"Expert Systems with Applications"},{"issue":"7","key":"10.1016\/j.eswa.2024.124943_b0240","doi-asserted-by":"crossref","first-page":"3965","DOI":"10.1109\/TGRS.2017.2685945","article-title":"AID: A Benchmark Data Set for Performance Evaluation of Aerial Scene Classification","volume":"55","author":"Xia","year":"2017","journal-title":"IEEE Transactions on Geoscience and Remote Sensing"},{"key":"10.1016\/j.eswa.2024.124943_b0245","doi-asserted-by":"crossref","DOI":"10.1016\/j.engappai.2022.104709","article-title":"A novel fuzzy clustering based method for image segmentation in RGB-D images","volume":"111","author":"Yadav","year":"2022","journal-title":"Engineering Applications of Artificial Intelligence"},{"key":"10.1016\/j.eswa.2024.124943_b0250","doi-asserted-by":"crossref","first-page":"212","DOI":"10.1016\/j.neucom.2016.02.061","article-title":"Feature extraction using dual-tree complex wavelet transform and gray level co-occurrence matrix","volume":"197","author":"Yang","year":"2016","journal-title":"Neurocomputing"},{"key":"10.1016\/j.eswa.2024.124943_b0255","doi-asserted-by":"crossref","first-page":"245","DOI":"10.1016\/j.patcog.2017.03.012","article-title":"Unsupervised hierarchical image segmentation through fuzzy entropy maximization","volume":"68","author":"Yin","year":"2017","journal-title":"Pattern Recognition"},{"key":"10.1016\/j.eswa.2024.124943_b0260","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.neucom.2015.10.084","article-title":"Hybrid dual-tree complex wavelet transform and support vector machine for digital multi-focus image fusion","volume":"182","author":"Yu","year":"2016","journal-title":"Neurocomputing"},{"issue":"8","key":"10.1016\/j.eswa.2024.124943_b0265","doi-asserted-by":"crossref","first-page":"2896","DOI":"10.1109\/JSTARS.2018.2846603","article-title":"Enhanced Spatially Constrained Remotely Sensed Imagery Classification Using a Fuzzy Local Double Neighborhood Information C-Means Clustering Algorithm","volume":"11","author":"Zhang","year":"2018","journal-title":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"},{"issue":"9","key":"10.1016\/j.eswa.2024.124943_b0270","doi-asserted-by":"crossref","first-page":"5057","DOI":"10.1109\/TGRS.2017.2702061","article-title":"A Novel Adaptive Fuzzy Local Information $C$ -Means Clustering Algorithm for Remotely Sensed Imagery Classification","volume":"55","author":"Zhang","year":"2017","journal-title":"IEEE Transactions on Geoscience and Remote Sensing"},{"issue":"1","key":"10.1016\/j.eswa.2024.124943_b0275","doi-asserted-by":"crossref","first-page":"185","DOI":"10.1109\/TFUZZ.2018.2883033","article-title":"Deviation-Sparse Fuzzy C-Means With Neighbor Information Constraint","volume":"27","author":"Zhang","year":"2019","journal-title":"IEEE Transactions on Fuzzy Systems"},{"key":"10.1016\/j.eswa.2024.124943_b0280","doi-asserted-by":"crossref","first-page":"115","DOI":"10.1016\/j.neucom.2012.10.022","article-title":"Fuzzy clustering algorithms with self-tuning non-local spatial information for image segmentation","volume":"106","author":"Zhao","year":"2013","journal-title":"Neurocomputing"},{"key":"10.1016\/j.eswa.2024.124943_b0285","doi-asserted-by":"crossref","first-page":"387","DOI":"10.1109\/TFUZZ.2018.2852289","article-title":"Noise Robust Multiobjective Evolutionary Clustering Image Segmentation Motivated by the Intuitionistic Fuzzy Information","volume":"27","author":"Zhao","year":"2019","journal-title":"IEEE Transactions on Fuzzy Systems"}],"container-title":["Expert Systems with Applications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0957417424018104?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0957417424018104?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2024,8,30]],"date-time":"2024-08-30T23:07:43Z","timestamp":1725059263000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S0957417424018104"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,12]]},"references-count":57,"alternative-id":["S0957417424018104"],"URL":"https:\/\/doi.org\/10.1016\/j.eswa.2024.124943","relation":{},"ISSN":["0957-4174"],"issn-type":[{"value":"0957-4174","type":"print"}],"subject":[],"published":{"date-parts":[[2024,12]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"Adaptive sparse regularized fuzzy clustering noise image segmentation algorithm based on complementary spatial information","name":"articletitle","label":"Article Title"},{"value":"Expert Systems with Applications","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.eswa.2024.124943","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2024 Elsevier Ltd. All rights are reserved, including those for text and data mining, AI training, and similar technologies.","name":"copyright","label":"Copyright"}],"article-number":"124943"}}