{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T01:10:04Z","timestamp":1750209004584,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":25,"publisher":"ACM","license":[{"start":{"date-parts":[[2018,8,17]],"date-time":"2018-08-17T00:00:00Z","timestamp":1534464000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2018,8,17]]},"DOI":"10.1145\/3240876.3240907","type":"proceedings-article","created":{"date-parts":[[2018,9,4]],"date-time":"2018-09-04T12:11:02Z","timestamp":1536063062000},"page":"1-7","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":4,"title":["FCM-based quantum artificial bee colony algorithm for image segmentation"],"prefix":"10.1145","author":[{"given":"Yufang","family":"Feng","sequence":"first","affiliation":[{"name":"Army Engineering University of PLA, Nanjing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hong","family":"Yin","sequence":"additional","affiliation":[{"name":"Army Engineering University of PLA, Nanjing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Houqing","family":"Lu","sequence":"additional","affiliation":[{"name":"Army Engineering University of PLA, Nanjing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Lin","family":"Cao","sequence":"additional","affiliation":[{"name":"Army Engineering University of PLA, Nanjing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jingbo","family":"Bai","sequence":"additional","affiliation":[{"name":"Army Engineering University of PLA, Nanjing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2018,8,17]]},"reference":[{"key":"e_1_3_2_1_1_1","volume-title":"A modified fuzzy c-means algorithm for bias field estimation and segmentation of MRI data","author":"Ahmed Mohamed N","year":"2002","unstructured":"Mohamed N Ahmed , Sameh M Yamany , Nevin Mohamed , Aly A Farag , and Thomas Moriarty . 2002. A modified fuzzy c-means algorithm for bias field estimation and segmentation of MRI data . IEEE transactions on medical imaging 21, 3 ( 2002 ), 193--199. Mohamed N Ahmed, Sameh M Yamany, Nevin Mohamed, Aly A Farag, and Thomas Moriarty. 2002. A modified fuzzy c-means algorithm for bias field estimation and segmentation of MRI data. IEEE transactions on medical imaging 21, 3 (2002), 193--199."},{"key":"e_1_3_2_1_2_1","unstructured":"J. C. Bezdek. 1975. Mathematical Models for Systematics and Taxonomy. 659--661(3).  J. C. Bezdek. 1975. Mathematical Models for Systematics and Taxonomy. 659--661(3)."},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.1080\/01969727308546047"},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.1007\/s11760-016-0863-z"},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.5121\/vlsic.2012.3411"},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.1109\/IJCNN.2014.6889856"},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.1007\/s11704-010-0393-8"},{"volume-title":"Interactive RGB-D Image Segmentation Using Hierarchical Graph Cut and Geodesic Distance","author":"Ge Ling","key":"e_1_3_2_1_8_1","unstructured":"Ling Ge , Ran Ju , Tongwei Ren , and Gangshan Wu. 2015. Interactive RGB-D Image Segmentation Using Hierarchical Graph Cut and Geodesic Distance . Springer International Publishing . 114--124 pages. Ling Ge, Ran Ju, Tongwei Ren, and Gangshan Wu. 2015. Interactive RGB-D Image Segmentation Using Hierarchical Graph Cut and Geodesic Distance. Springer International Publishing. 114--124 pages."},{"key":"e_1_3_2_1_9_1","volume-title":"Image databases. at available","author":"Gonzalez RC","year":"2010","unstructured":"RC Gonzalez , Richard E Woods , and S Eddins . 2010. Image databases. at available :; http:\/\/www.imageprocessingplace.com ( 2010 ). RC Gonzalez, Richard E Woods, and S Eddins. 2010. Image databases. at available:; http:\/\/www.imageprocessingplace.com (2010)."},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.1007\/s11760-017-1123-6"},{"key":"e_1_3_2_1_11_1","volume-title":"Content-based image retrieval via a hierarchical-local-feature extraction scheme. Multimedia Tools and Applications","author":"Jian Muwei","year":"2018","unstructured":"Muwei Jian , Yilong Yin , Junyu Dong , and Kin Man Lam . 2018. Content-based image retrieval via a hierarchical-local-feature extraction scheme. Multimedia Tools and Applications ( 2018 ), 1--19. Muwei Jian, Yilong Yin, Junyu Dong, and Kin Man Lam. 2018. Content-based image retrieval via a hierarchical-local-feature extraction scheme. Multimedia Tools and Applications (2018), 1--19."},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2012.2231662"},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"publisher","DOI":"10.5555\/2698246.2698390"},{"key":"e_1_3_2_1_14_1","first-page":"2973","article-title":"Fuzzy artificial bee colony system with cooling schedule for the segmentation of medical images by using of spatial information","volume":"4","author":"Lin Jzau-Sheng","year":"2012","unstructured":"Jzau-Sheng Lin and Shou-Hung Wu . 2012 . Fuzzy artificial bee colony system with cooling schedule for the segmentation of medical images by using of spatial information . Research Journal of Applied Sciences, Engineering and Technology 4 , 17 (2012), 2973 -- 2980 . Jzau-Sheng Lin and Shou-Hung Wu. 2012. Fuzzy artificial bee colony system with cooling schedule for the segmentation of medical images by using of spatial information. Research Journal of Applied Sciences, Engineering and Technology 4, 17 (2012), 2973--2980.","journal-title":"Research Journal of Applied Sciences, Engineering and Technology"},{"key":"e_1_3_2_1_15_1","first-page":"89","article-title":"Image Segmentation Algorithm Based on Simulated Annealing and Fuzzy C-Means Clustering","volume":"28","author":"Liu Xiao Long","year":"2007","unstructured":"Xiao Long Liu , You Sheng Zhang , and Ying Xie . 2007 . Image Segmentation Algorithm Based on Simulated Annealing and Fuzzy C-Means Clustering . Journal of Engineering Graphics 28 , 1 (2007), 89 -- 93 . Xiao Long Liu, You Sheng Zhang, and Ying Xie. 2007. Image Segmentation Algorithm Based on Simulated Annealing and Fuzzy C-Means Clustering. Journal of Engineering Graphics 28, 1 (2007), 89--93.","journal-title":"Journal of Engineering Graphics"},{"volume-title":"A High Effective Fuzzy Clustering Image Segmentation Algorithm Based on Artificial Immune Optimization","author":"Liu Yunlong","key":"e_1_3_2_1_16_1","unstructured":"Yunlong Liu and Baojun Lin . 2015. A High Effective Fuzzy Clustering Image Segmentation Algorithm Based on Artificial Immune Optimization . Vol. 21 . 114--124 pages. Yunlong Liu and Baojun Lin. 2015. A High Effective Fuzzy Clustering Image Segmentation Algorithm Based on Artificial Immune Optimization. Vol. 21. 114--124 pages."},{"key":"e_1_3_2_1_17_1","volume-title":"Wound intensity correction and segmentation with convolutional neural networks. Concurrency and Computation Practice and Experience 29, 6","author":"Lu Huimin","year":"2017","unstructured":"Huimin Lu , Bin Li , Junwu Zhu , Yujie Li , Yun Li , Xing Xu , Li He , Xin Li , Jianru Li , and Seiichi Serikawa . 2017. Wound intensity correction and segmentation with convolutional neural networks. Concurrency and Computation Practice and Experience 29, 6 ( 2017 ). Huimin Lu, Bin Li, Junwu Zhu, Yujie Li, Yun Li, Xing Xu, Li He, Xin Li, Jianru Li, and Seiichi Serikawa. 2017. Wound intensity correction and segmentation with convolutional neural networks. Concurrency and Computation Practice and Experience 29, 6 (2017)."},{"key":"e_1_3_2_1_18_1","volume-title":"Low illumination underwater light field images reconstruction using deep convolutional neural networks. Future Generation Computer Systems 82","author":"Lu Huimin","year":"2018","unstructured":"Huimin Lu , Yujie Li , Tomoki Uemura , Hyoungseop Kim , and Seiichi Serikawa . 2018. Low illumination underwater light field images reconstruction using deep convolutional neural networks. Future Generation Computer Systems 82 ( 2018 ). Huimin Lu, Yujie Li, Tomoki Uemura, Hyoungseop Kim, and Seiichi Serikawa. 2018. Low illumination underwater light field images reconstruction using deep convolutional neural networks. Future Generation Computer Systems 82 (2018)."},{"key":"e_1_3_2_1_19_1","doi-asserted-by":"publisher","DOI":"10.1007\/s11760-011-0274-0"},{"key":"e_1_3_2_1_20_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2007.11.017"},{"key":"e_1_3_2_1_21_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.patrec.2013.04.021"},{"key":"e_1_3_2_1_22_1","first-page":"149","article-title":"Spatial information based image clustering with a swarm approach","volume":"1","author":"Salima Ouadfel","year":"2012","unstructured":"Ouadfel Salima , Abdelmalik Taleb-Ahmed , and Batouche Mohamed . 2012 . Spatial information based image clustering with a swarm approach . Iaes Int. J. Artif. Intell. (Ij-Ai) 1 , 3 (2012), 149 -- 160 . Ouadfel Salima, Abdelmalik Taleb-Ahmed, and Batouche Mohamed. 2012. Spatial information based image clustering with a swarm approach. Iaes Int. J. Artif. Intell. (Ij-Ai) 1, 3 (2012), 149--160.","journal-title":"Iaes Int. J. Artif. Intell. (Ij-Ai)"},{"key":"e_1_3_2_1_23_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.compeleceng.2013.10.016"},{"key":"e_1_3_2_1_24_1","first-page":"565","article-title":"Spatial Fuzzy Clustering Optimization Algorithm for Image Segmentation","volume":"52","author":"Yanbo L. I.","year":"2014","unstructured":"L. I. Yanbo , Xiao Han , and Jilin University . 2014 . Spatial Fuzzy Clustering Optimization Algorithm for Image Segmentation . Journal of Jilin University 52 , 3 (2014), 565 -- 567 . L. I. Yanbo, Xiao Han, and Jilin University. 2014. Spatial Fuzzy Clustering Optimization Algorithm for Image Segmentation. Journal of Jilin University 52, 3 (2014), 565--567.","journal-title":"Journal of Jilin University"},{"key":"e_1_3_2_1_25_1","volume-title":"Xi Zhong Qin, Jie Yang, and Shao Ning Pang.","author":"Ying-Jie G. U.","year":"2011","unstructured":"G. U. Ying-Jie , Zhen Hong Jia , Xi Zhong Qin, Jie Yang, and Shao Ning Pang. 2011 . Image Segmentation Algorithm based on Shuffled Frog-leaping with FCM. Communications Technology ( 2011). G. U. Ying-Jie, Zhen Hong Jia, Xi Zhong Qin, Jie Yang, and Shao Ning Pang. 2011. Image Segmentation Algorithm based on Shuffled Frog-leaping with FCM. Communications Technology (2011)."}],"event":{"name":"ICIMCS'18: The 10th International Conference on Internet Multimedia Computing and Service","acronym":"ICIMCS'18","location":"Nanjing China"},"container-title":["Proceedings of the 10th International Conference on Internet Multimedia Computing and Service"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3240876.3240907","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3240876.3240907","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T00:43:44Z","timestamp":1750207424000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3240876.3240907"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,8,17]]},"references-count":25,"alternative-id":["10.1145\/3240876.3240907","10.1145\/3240876"],"URL":"https:\/\/doi.org\/10.1145\/3240876.3240907","relation":{},"subject":[],"published":{"date-parts":[[2018,8,17]]},"assertion":[{"value":"2018-08-17","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}