{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T04:36:12Z","timestamp":1750221372642,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":23,"publisher":"ACM","license":[{"start":{"date-parts":[[2018,2,8]],"date-time":"2018-02-08T00:00:00Z","timestamp":1518048000000},"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":[[2018,2,8]]},"DOI":"10.1145\/3185089.3185139","type":"proceedings-article","created":{"date-parts":[[2018,5,17]],"date-time":"2018-05-17T17:51:36Z","timestamp":1526579496000},"page":"178-182","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":1,"title":["Research on Image Segmentation Optimization Algorithm based on Chaotic Particle Swarm Optimization and Fuzzy Clustering"],"prefix":"10.1145","author":[{"given":"Tan","family":"Linglong","sequence":"first","affiliation":[{"name":"Electronic communication engineering college, Anhui Xinhua University, Hefei, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Chen","family":"Yehui","sequence":"additional","affiliation":[{"name":"Electronic communication engineering college, Anhui Xinhua University, Hefei, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Li","family":"Changkai","sequence":"additional","affiliation":[{"name":"Electronic communication engineering college, Anhui Xinhua University, Hefei, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2018,2,8]]},"reference":[{"key":"e_1_3_2_1_1_1","volume-title":"Int. J. Comput. Vision 10(5), 935--942","author":"Aghazadeh N.","year":"2016","unstructured":"Aghazadeh , N. , Akbarifard , F. , Cigaroudy , L. Sharafya: A restoration-segmentation algorithm based on flexible Arnoldi--Tikhonov method and curvelet denoising . Int. J. Comput. Vision 10(5), 935--942 ( 2016 ). Aghazadeh, N., Akbarifard, F., Cigaroudy, L.Sharafya: A restoration-segmentation algorithm based on flexible Arnoldi--Tikhonov method and curvelet denoising. Int. J. Comput. Vision 10(5), 935--942 (2016)."},{"key":"e_1_3_2_1_2_1","unstructured":"X. Cai R. Chan M. Nikolova S. Member IEEE and T. Zeng: A Three-stage approach for segmenting degraded color images: smoothing lifting and thresholding (SLaT) (2015).  X. Cai R. Chan M. Nikolova S. Member IEEE and T. Zeng: A Three-stage approach for segmenting degraded color images: smoothing lifting and thresholding (SLaT) (2015)."},{"key":"e_1_3_2_1_3_1","volume-title":"Shi, P.: A new robust adaptive control method for modified function projective synchronization with unknown bounded parametric uncertainties and external disturbances. Nonlinear Dyn. 85(1), 355--363","author":"Du H.","year":"2016","unstructured":"Du , H. , Shi, P.: A new robust adaptive control method for modified function projective synchronization with unknown bounded parametric uncertainties and external disturbances. Nonlinear Dyn. 85(1), 355--363 ( 2016 ). Du, H., Shi, P.: A new robust adaptive control method for modified function projective synchronization with unknown bounded parametric uncertainties and external disturbances. Nonlinear Dyn. 85(1), 355--363 (2016)."},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.swevo.2015.10.008"},{"key":"e_1_3_2_1_5_1","volume-title":"Study of image segmentation algorithm based on chaotic particle swarm and fuzzy clustering {J}","author":"Wang Yang","year":"2016","unstructured":"Wang Yang . Study of image segmentation algorithm based on chaotic particle swarm and fuzzy clustering {J} . Journal of Liaoning Shihua University , 2016 ,36 (03): 67-70. Wang Yang. Study of image segmentation algorithm based on chaotic particle swarm and fuzzy clustering {J}. Journal of Liaoning Shihua University, 2016,36 (03): 67-70."},{"key":"e_1_3_2_1_6_1","volume-title":"Fast fuzzy clustering image segmentation based on Improved Particle Swarm Optimization and adaptive filtering {J}. computer measurement and control","author":"Mount Huangshan","year":"2016","unstructured":"Mount Huangshan , Li Zhong, Li Fei , Huang Huang. Fast fuzzy clustering image segmentation based on Improved Particle Swarm Optimization and adaptive filtering {J}. computer measurement and control , 2016 ,24 (04): 171-173+177. Mount Huangshan, Li Zhong, Li Fei, Huang Huang. Fast fuzzy clustering image segmentation based on Improved Particle Swarm Optimization and adaptive filtering {J}. computer measurement and control, 2016,24 (04): 171-173+177."},{"key":"e_1_3_2_1_7_1","volume-title":"Community discovery algorithm based on particle swarm optimization and fuzzy clustering {J}","author":"Sun Yanwei","year":"2015","unstructured":"Sun Yanwei , Peng Zhiming, Li Jianbo . Community discovery algorithm based on particle swarm optimization and fuzzy clustering {J} . Journal of Chongqing University of Posts and Telecommunications (NATURAL SCIENCE EDITION) , 2015 ,27 (05): 660-666. Sun Yanwei, Peng Zhiming, Li Jianbo. Community discovery algorithm based on particle swarm optimization and fuzzy clustering {J}. Journal of Chongqing University of Posts and Telecommunications (NATURAL SCIENCE EDITION), 2015,27 (05): 660-666."},{"key":"e_1_3_2_1_8_1","volume-title":"Nonlinear Dyn. 83(4), 2183--2211","author":"Hassan M.","year":"2016","unstructured":"Hassan , M. Synchronization of uncertain constrained hyperchaotic systems and chaos-based secure communications via a novel decomposed nonlinear stochastic estimator. Nonlinear Dyn. 83(4), 2183--2211 ( 2016 ). Hassan, M.Synchronization of uncertain constrained hyperchaotic systems and chaos-based secure communications via a novel decomposed nonlinear stochastic estimator. Nonlinear Dyn. 83(4), 2183--2211 (2016)."},{"key":"e_1_3_2_1_9_1","volume-title":"Li Yi Ran. The chaotic particle swarm fuzzy C- means clustering algorithm {J}. based on Computer Engineering and design","author":"Zhang Chunna","year":"2013","unstructured":"Zhang Chunna , Li Yi Ran. The chaotic particle swarm fuzzy C- means clustering algorithm {J}. based on Computer Engineering and design , 2013 ,34 (03): 1039-1043. Zhang Chunna, Li Yi Ran. The chaotic particle swarm fuzzy C- means clustering algorithm {J}. based on Computer Engineering and design, 2013,34 (03): 1039-1043."},{"key":"e_1_3_2_1_10_1","unstructured":"Y.H.Shi R.C.Eberhart.A modified particle swarm optimizer{J}.Proceedings of IEEE Intemational Conference on Evolutionary Computation.Piscataway NJ 1998:69~73P.  Y.H.Shi R.C.Eberhart.A modified particle swarm optimizer{J}.Proceedings of IEEE Intemational Conference on Evolutionary Computation.Piscataway NJ 1998:69~73P."},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.asoc.2015.12.022"},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.dsp.2015.10.006"},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2015.04.032"},{"key":"e_1_3_2_1_14_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2016.03.034"},{"key":"e_1_3_2_1_15_1","doi-asserted-by":"publisher","DOI":"10.1109\/JSTARS.2012.2200879"},{"key":"e_1_3_2_1_16_1","doi-asserted-by":"publisher","DOI":"10.1109\/JPROC.2012.2197169"},{"key":"e_1_3_2_1_17_1","doi-asserted-by":"publisher","DOI":"10.1080\/01431161003727671"},{"key":"e_1_3_2_1_18_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.asoc.2015.06.021"},{"key":"e_1_3_2_1_19_1","doi-asserted-by":"publisher","DOI":"10.1007\/s11432-013-4983-6"},{"key":"e_1_3_2_1_20_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.dsp.2015.10.006"},{"key":"e_1_3_2_1_21_1","volume-title":"Sgallari","author":"Cai X.","year":"2013","unstructured":"Cai , X. , Chan , R. , Morigi , S. , Sgallari , F. : Vessel segmentation in medical imaging using a tight-frame based algorithm. SIAM J. Imaging 6(1), 464--486 ( 2013 ). Cai, X., Chan, R., Morigi, S., Sgallari, F.: Vessel segmentation in medical imaging using a tight-frame based algorithm. SIAM J. Imaging 6(1), 464--486 (2013)."},{"key":"e_1_3_2_1_22_1","volume-title":"Proceedings of the 6th international conference power India Delhi, India, 5--7 Dec","author":"Kumari N","year":"2014","unstructured":"Kumari N , Jha AN ( 2014 ) Frequency control of multi-area power system network using PSO based LQR . In: Proceedings of the 6th international conference power India Delhi, India, 5--7 Dec Kumari N, Jha AN (2014) Frequency control of multi-area power system network using PSO based LQR. In: Proceedings of the 6th international conference power India Delhi, India, 5--7 Dec"},{"key":"e_1_3_2_1_23_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICSESS.2014.6933570"}],"event":{"name":"ICSCA 2018: 2018 7th International Conference on Software and Computer Applications","sponsor":["University of Tokyo"],"location":"Kuantan Malaysia","acronym":"ICSCA 2018"},"container-title":["Proceedings of the 2018 7th International Conference on Software and Computer Applications"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3185089.3185139","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3185089.3185139","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T02:26:36Z","timestamp":1750213596000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3185089.3185139"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,2,8]]},"references-count":23,"alternative-id":["10.1145\/3185089.3185139","10.1145\/3185089"],"URL":"https:\/\/doi.org\/10.1145\/3185089.3185139","relation":{},"subject":[],"published":{"date-parts":[[2018,2,8]]},"assertion":[{"value":"2018-02-08","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}