{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,29]],"date-time":"2026-04-29T18:46:06Z","timestamp":1777488366266,"version":"3.51.4"},"reference-count":36,"publisher":"Springer Science and Business Media LLC","issue":"5","license":[{"start":{"date-parts":[[2023,3,8]],"date-time":"2023-03-08T00:00:00Z","timestamp":1678233600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2023,3,8]],"date-time":"2023-03-08T00:00:00Z","timestamp":1678233600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["42076058"],"award-info":[{"award-number":["42076058"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Scientific Research Foundation of Third Institute of Oceanography","award":["2019006"],"award-info":[{"award-number":["2019006"]}]},{"name":"Scientific Research Foundation of Third Institute of Oceanography","award":["61873219"],"award-info":[{"award-number":["61873219"]}]},{"DOI":"10.13039\/501100003392","name":"Natural Science Foundation of Fujian Province","doi-asserted-by":"publisher","award":["2022J01061"],"award-info":[{"award-number":["2022J01061"]}],"id":[{"id":"10.13039\/501100003392","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Int. J. Fuzzy Syst."],"published-print":{"date-parts":[[2023,7]]},"DOI":"10.1007\/s40815-023-01485-2","type":"journal-article","created":{"date-parts":[[2023,3,26]],"date-time":"2023-03-26T20:35:34Z","timestamp":1679862934000},"page":"1991-2006","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":9,"title":["Patch-Based Fuzzy Local Weighted C-Means Clustering Algorithm with Correntropy Induced Metric for Noise Image Segmentation"],"prefix":"10.1007","volume":"25","author":[{"given":"Yunlong","family":"Gao","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Huidui","family":"Li","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jianpeng","family":"Li","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Chao","family":"Cao","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2843-9878","authenticated-orcid":false,"given":"Jinyan","family":"Pan","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2023,3,8]]},"reference":[{"issue":"6","key":"1485_CR1","doi-asserted-by":"publisher","first-page":"2023","DOI":"10.1109\/TVCG.2017.2702738","volume":"24","author":"Q Guo","year":"2018","unstructured":"Guo, Q., Gao, S., Zhang, X., Yin, Y., Zhang, C.: Patch-based image inpainting via two-stage low rank approximation. IEEE Trans. Visual Comput. Graph. 24(6), 2023\u20132036 (2018)","journal-title":"IEEE Trans. Visual Comput. Graph."},{"issue":"1","key":"1485_CR2","doi-asserted-by":"publisher","first-page":"463","DOI":"10.1007\/s11042-020-09722-8","volume":"80","author":"K Fu","year":"2021","unstructured":"Fu, K., Peng, J., He, Q., Zhang, H.: Single image 3d object reconstruction based on deep learning: a review. Multimed. Tools Appl. 80(1), 463\u2013498 (2021)","journal-title":"Multimed. Tools Appl."},{"key":"1485_CR3","doi-asserted-by":"publisher","first-page":"70045","DOI":"10.1109\/ACCESS.2018.2880494","volume":"6","author":"Y Sun","year":"2018","unstructured":"Sun, Y., Jian, M., Zhang, X.: Reformed residual network with sparse feedbacks for 3d reconstruction from a single image. IEEE Access 6, 70045\u201370052 (2018)","journal-title":"IEEE Access"},{"key":"1485_CR4","doi-asserted-by":"publisher","first-page":"142","DOI":"10.1016\/j.ins.2018.08.022","volume":"468","author":"H Liu","year":"2018","unstructured":"Liu, H., Xu, J., Wu, Y., Guo, Q., Ibragimov, B., Xing, L.: Learning deconvolutional deep neural network for high resolution medical image reconstruction. Inf. Sci. 468, 142\u2013154 (2018)","journal-title":"Inf. Sci."},{"issue":"4","key":"1485_CR5","doi-asserted-by":"publisher","first-page":"582","DOI":"10.1007\/s10278-019-00227-x","volume":"32","author":"MH Hesamian","year":"2019","unstructured":"Hesamian, M.H., Jia, W., He, X., Kennedy, P.: Deep learning techniques for medical image segmentation: achievements and challenges. J. Digit. Imaging 32(4), 582\u2013596 (2019)","journal-title":"J. Digit. Imaging"},{"issue":"12","key":"1485_CR6","first-page":"234","volume":"3","author":"K Bhargavi","year":"2014","unstructured":"Bhargavi, K., Jyothi, S.: A survey on threshold based segmentation technique in image processing. Int. J. Innov. Res. Dev. 3(12), 234\u2013239 (2014)","journal-title":"Int. J. Innov. Res. Dev."},{"issue":"3","key":"1485_CR7","first-page":"804","volume":"2","author":"SS Al-Amri","year":"2010","unstructured":"Al-Amri, S.S., Kalyankar, N., Khamitkar, S.: Image segmentation by using edge detection. Int. J. Comput. Sci. Eng. 2(3), 804\u2013807 (2010)","journal-title":"Int. J. Comput. Sci. Eng."},{"key":"1485_CR8","doi-asserted-by":"crossref","unstructured":"Karoui, I., Fablet, R., Boucher, J.M., Augustin, J.M.: Unsupervised region-based image segmentation using texture statistics and level-set methods. In: 2007 IEEE International Symposium on Intelligent Signal Processing, pp. 1\u20135. IEEE (2007)","DOI":"10.1109\/WISP.2007.4447617"},{"issue":"12","key":"1485_CR9","doi-asserted-by":"publisher","first-page":"5854","DOI":"10.1109\/TIP.2015.2488902","volume":"24","author":"W Ju","year":"2015","unstructured":"Ju, W., Xiang, D., Zhang, B., Wang, L., Kopriva, I., Chen, X.: Random walk and graph cut for co-segmentation of lung tumor on PET-CT images. IEEE Trans. Image Process. 24(12), 5854\u20135867 (2015)","journal-title":"IEEE Trans. Image Process."},{"key":"1485_CR10","doi-asserted-by":"crossref","unstructured":"Naz, S., Majeed, H., Irshad, H.: Image segmentation using fuzzy clustering: a survey. In: Proceedings of the 2010 6th International Conference on Emerging Technologies (ICET), pp. 181\u2013186. IEEE (2010)","DOI":"10.1109\/ICET.2010.5638492"},{"issue":"7","key":"1485_CR11","first-page":"3523","volume":"44","author":"S Minaee","year":"2022","unstructured":"Minaee, S., Boykov, Y., Porikli, F., Plaza, A., Kehtarnavaz, N., Terzopoulos, D.: Image segmentation using deep learning: a survey. IEEE Trans. Pattern Anal. Mach. Intell. 44(7), 3523\u20133542 (2022)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"issue":"3","key":"1485_CR12","doi-asserted-by":"publisher","first-page":"816","DOI":"10.1007\/s40815-020-01015-4","volume":"23","author":"J Xu","year":"2021","unstructured":"Xu, J., Zhao, T., Feng, G., Ni, M., Ou, S.: A fuzzy c-means clustering algorithm based on spatial context model for image segmentation. Int. J. Fuzzy Syst. 23(3), 816\u2013832 (2021)","journal-title":"Int. J. Fuzzy Syst."},{"issue":"3","key":"1485_CR13","doi-asserted-by":"publisher","first-page":"615","DOI":"10.1007\/s40815-020-01009-2","volume":"23","author":"Y-P Huang","year":"2021","unstructured":"Huang, Y.-P., Singh, P., Kuo, W.-L., Chu, H.-C.: A type-2 fuzzy clustering and quantum optimization approach for crops image segmentation. Int. J. Fuzzy Syst. 23(3), 615\u2013629 (2021)","journal-title":"Int. J. Fuzzy Syst."},{"key":"1485_CR14","unstructured":"MacQueen, J.: Classification and analysis of multivariate observations. In: Proceedings of the 5th Berkeley Symposium on Mathematical Statistics and Probability, pp. 281\u2013297 (1967)"},{"issue":"3","key":"1485_CR15","doi-asserted-by":"publisher","first-page":"32","DOI":"10.1080\/01969727308546046","volume":"3","author":"JC Dunn","year":"1973","unstructured":"Dunn, J.C.: A fuzzy relative of the isodata process and its use in detecting compact well-separated clusters. J. Cybern. 3(3), 32\u201357 (1973)","journal-title":"J. Cybern."},{"issue":"2","key":"1485_CR16","doi-asserted-by":"publisher","first-page":"191","DOI":"10.1016\/0098-3004(84)90020-7","volume":"10","author":"JC Bezdek","year":"1984","unstructured":"Bezdek, J.C., Ehrlich, R., Full, W.: FCM: the fuzzy c-means clustering algorithm. Comput. Geosci. 10(2), 191\u2013203 (1984)","journal-title":"Comput. Geosci."},{"issue":"3","key":"1485_CR17","doi-asserted-by":"publisher","first-page":"193","DOI":"10.1109\/42.996338","volume":"21","author":"MN Ahmed","year":"2002","unstructured":"Ahmed, M.N., Yamany, S.M., Mohamed, N., Farag, A.A., Moriarty, T.: A modified fuzzy c-means algorithm for bias field estimation and segmentation of MRI data. IEEE Trans. Med. Imaging 21(3), 193\u2013199 (2002)","journal-title":"IEEE Trans. Med. Imaging"},{"issue":"4","key":"1485_CR18","doi-asserted-by":"publisher","first-page":"1907","DOI":"10.1109\/TSMCB.2004.831165","volume":"34","author":"S Chen","year":"2004","unstructured":"Chen, S., Zhang, D.: Robust image segmentation using FCM with spatial constraints based on new kernel-induced distance measure. IEEE Trans. Syst. Man Cybern. Part B (Cybern.) 34(4), 1907\u20131916 (2004)","journal-title":"IEEE Trans. Syst. Man Cybern. Part B (Cybern.)"},{"key":"1485_CR19","unstructured":"Szilagyi, L., Benyo, Z., Szilagyi, S.M., Adam, H.S.: MR brain image segmentation using an enhanced fuzzy c-means algorithm. In: Proceedings of the 25th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (IEEE Cat. No.03CH37439), vol. 1, pp. 724\u20137261. IEEE (2003)"},{"issue":"3","key":"1485_CR20","doi-asserted-by":"publisher","first-page":"825","DOI":"10.1016\/j.patcog.2006.07.011","volume":"40","author":"W Cai","year":"2007","unstructured":"Cai, W., Chen, S., Zhang, D.: Fast and robust fuzzy c-means clustering algorithms incorporating local information for image segmentation. Pattern Recogn. 40(3), 825\u2013838 (2007)","journal-title":"Pattern Recogn."},{"issue":"5","key":"1485_CR21","doi-asserted-by":"publisher","first-page":"3027","DOI":"10.1109\/TFUZZ.2018.2796074","volume":"26","author":"T Lei","year":"2018","unstructured":"Lei, T., Jia, X., Zhang, Y., He, L., Meng, H., Nandi, A.K.: Significantly fast and robust fuzzy c-means clustering algorithm based on morphological reconstruction and membership filtering. IEEE Trans. Fuzzy Syst. 26(5), 3027\u20133041 (2018)","journal-title":"IEEE Trans. Fuzzy Syst."},{"issue":"5","key":"1485_CR22","doi-asserted-by":"publisher","first-page":"1328","DOI":"10.1109\/TIP.2010.2040763","volume":"19","author":"S Krinidis","year":"2010","unstructured":"Krinidis, S., Chatzis, V.: A robust fuzzy local information c-means clustering algorithm. IEEE Trans. Image Process. 19(5), 1328\u20131337 (2010)","journal-title":"IEEE Trans. Image Process."},{"issue":"2","key":"1485_CR23","doi-asserted-by":"publisher","first-page":"573","DOI":"10.1109\/TIP.2012.2219547","volume":"22","author":"M Gong","year":"2013","unstructured":"Gong, M., Liang, Y., Shi, J., Ma, W., Ma, J.: Fuzzy c-means clustering with local information and kernel metric for image segmentation. IEEE Trans. Image Process. 22(2), 573\u2013584 (2013)","journal-title":"IEEE Trans. Image Process."},{"issue":"4","key":"1485_CR24","doi-asserted-by":"publisher","first-page":"217","DOI":"10.1049\/iet-ipr.2016.0539","volume":"11","author":"F Li","year":"2017","unstructured":"Li, F., Qin, J.: Robust fuzzy local information and $$l_p$$-norm distance-based image segmentation method. IET Image Proc. 11(4), 217\u2013226 (2017)","journal-title":"IET Image Proc."},{"key":"1485_CR25","doi-asserted-by":"publisher","first-page":"105928","DOI":"10.1016\/j.asoc.2019.105928","volume":"87","author":"Y Tang","year":"2020","unstructured":"Tang, Y., Ren, F., Pedrycz, W.: Fuzzy c-means clustering through SSIM and patch for image segmentation. Appl. Soft Comput. 87, 105928 (2020)","journal-title":"Appl. Soft Comput."},{"key":"1485_CR26","doi-asserted-by":"publisher","first-page":"5645","DOI":"10.1109\/TIP.2022.3199086","volume":"31","author":"Y Gao","year":"2022","unstructured":"Gao, Y., Lin, T., Pan, J., Nie, F., Xie, Y.: Fuzzy sparse deviation regularized robust principal component analysis. IEEE Trans. Image Process. 31, 5645\u20135660 (2022)","journal-title":"IEEE Trans. Image Process."},{"issue":"7","key":"1485_CR27","doi-asserted-by":"publisher","first-page":"2218","DOI":"10.1007\/s40815-021-01090-1","volume":"23","author":"Y Gao","year":"2021","unstructured":"Gao, Y., Wang, Z., Li, H., Pan, J.: Gaussian collaborative fuzzy c-means clustering. Int. J. Fuzzy Syst. 23(7), 2218\u20132234 (2021)","journal-title":"Int. J. Fuzzy Syst."},{"issue":"6","key":"1485_CR28","doi-asserted-by":"publisher","first-page":"1659","DOI":"10.1016\/j.asoc.2012.02.010","volume":"12","author":"Z Ji","year":"2012","unstructured":"Ji, Z., Xia, Y., Chen, Q., Sun, Q., Xia, D., Feng, D.D.: Fuzzy c-means clustering with weighted image patch for image segmentation. Appl. Soft Comput. 12(6), 1659\u20131667 (2012)","journal-title":"Appl. Soft Comput."},{"issue":"11","key":"1485_CR29","doi-asserted-by":"publisher","first-page":"5286","DOI":"10.1109\/TSP.2007.896065","volume":"55","author":"W Liu","year":"2007","unstructured":"Liu, W., Pokharel, P.P., Principe, J.C.: Correntropy: properties and applications in non-gaussian signal processing. IEEE Trans. Signal Process. 55(11), 5286\u20135298 (2007)","journal-title":"IEEE Trans. Signal Process."},{"key":"1485_CR30","volume-title":"The Nature of Statistical Learning Theory","author":"V Vapnik","year":"1999","unstructured":"Vapnik, V.: The Nature of Statistical Learning Theory. Springer, New York (1999)"},{"key":"1485_CR31","doi-asserted-by":"crossref","unstructured":"Seth, S., Principe, J.C.: Compressed signal reconstruction using the correntropy induced metric. In: 2008 IEEE International Conference on Acoustics, Speech and Signal Processing, pp. 3845\u20133848. IEEE (2008)","DOI":"10.1109\/ICASSP.2008.4518492"},{"key":"1485_CR32","doi-asserted-by":"publisher","first-page":"107769","DOI":"10.1016\/j.knosys.2021.107769","volume":"237","author":"Y Gao","year":"2022","unstructured":"Gao, Y., Wang, Z., Xie, J., Pan, J.: A new robust fuzzy c-means clustering method based on adaptive elastic distance. Knowl.-Based Syst. 237, 107769 (2022)","journal-title":"Knowl.-Based Syst."},{"issue":"2","key":"1485_CR33","doi-asserted-by":"publisher","first-page":"315","DOI":"10.1109\/TPAMI.2011.130","volume":"34","author":"S Alpert","year":"2012","unstructured":"Alpert, S., Galun, M., Brandt, A., Basri, R.: Image segmentation by probabilistic bottom-up aggregation and cue integration. IEEE Trans. Pattern Anal. Mach. Intell. 34(2), 315\u2013327 (2012)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"issue":"5","key":"1485_CR34","doi-asserted-by":"publisher","first-page":"898","DOI":"10.1109\/TPAMI.2010.161","volume":"33","author":"P Arbel\u00e1ez","year":"2011","unstructured":"Arbel\u00e1ez, P., Maire, M., Fowlkes, C., Malik, J.: Contour detection and hierarchical image segmentation. IEEE Trans. Pattern Anal. Mach. Intell. 33(5), 898\u2013916 (2011)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"issue":"3","key":"1485_CR35","doi-asserted-by":"publisher","first-page":"370","DOI":"10.1109\/91.413225","volume":"3","author":"NR Pal","year":"1995","unstructured":"Pal, N.R., Bezdek, J.C.: On cluster validity for the fuzzy c-means model. IEEE Trans. Fuzzy Syst. 3(3), 370\u2013379 (1995)","journal-title":"IEEE Trans. Fuzzy Syst."},{"issue":"293","key":"1485_CR36","doi-asserted-by":"publisher","first-page":"52","DOI":"10.1080\/01621459.1961.10482090","volume":"56","author":"OJ Dunn","year":"1961","unstructured":"Dunn, O.J.: Multiple comparisons among means. J. Am. Stat. Assoc. 56(293), 52\u201364 (1961)","journal-title":"J. Am. Stat. Assoc."}],"container-title":["International Journal of Fuzzy Systems"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s40815-023-01485-2.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s40815-023-01485-2\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s40815-023-01485-2.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,6,23]],"date-time":"2023-06-23T21:08:08Z","timestamp":1687554488000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s40815-023-01485-2"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,3,8]]},"references-count":36,"journal-issue":{"issue":"5","published-print":{"date-parts":[[2023,7]]}},"alternative-id":["1485"],"URL":"https:\/\/doi.org\/10.1007\/s40815-023-01485-2","relation":{},"ISSN":["1562-2479","2199-3211"],"issn-type":[{"value":"1562-2479","type":"print"},{"value":"2199-3211","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023,3,8]]},"assertion":[{"value":"13 November 2022","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"27 January 2023","order":2,"name":"revised","label":"Revised","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"6 February 2023","order":3,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"8 March 2023","order":4,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}]}}