{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,5,13]],"date-time":"2025-05-13T16:28:59Z","timestamp":1747153739497,"version":"3.40.5"},"reference-count":32,"publisher":"Springer Science and Business Media LLC","issue":"24","license":[{"start":{"date-parts":[[2023,5,25]],"date-time":"2023-05-25T00:00:00Z","timestamp":1684972800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2023,5,25]],"date-time":"2023-05-25T00:00:00Z","timestamp":1684972800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Neural Comput & Applic"],"published-print":{"date-parts":[[2023,8]]},"DOI":"10.1007\/s00521-023-08658-y","type":"journal-article","created":{"date-parts":[[2023,5,25]],"date-time":"2023-05-25T06:02:23Z","timestamp":1684994543000},"page":"17837-17850","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":5,"title":["Multilevel image thresholding based on Renyi\u2019s entropy and golden sinus algorithm II"],"prefix":"10.1007","volume":"35","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-1615-7390","authenticated-orcid":false,"given":"Yagmur","family":"Olmez","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1750-8479","authenticated-orcid":false,"given":"Gonca Ozmen","family":"Koca","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2973-9389","authenticated-orcid":false,"given":"Erkan","family":"Tanyildizi","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1614-2639","authenticated-orcid":false,"given":"Abdulkadir","family":"Sengur","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2023,5,25]]},"reference":[{"issue":"11","key":"8658_CR1","doi-asserted-by":"publisher","first-page":"4688","DOI":"10.1109\/TSMC.2018.2859429","volume":"50","author":"S Agrawal","year":"2018","unstructured":"Agrawal S, Panda R, Abraham A (2018) A novel diagonal class entropy-based multilevel image thresholding using coral reef optimization. IEEE Trans Syst Man Cybern Syst 50(11):4688\u20134696","journal-title":"IEEE Trans Syst Man Cybern Syst"},{"issue":"6","key":"8658_CR2","doi-asserted-by":"crossref","first-page":"1471","DOI":"10.1109\/JAS.2017.7510697","volume":"6","author":"S Pare","year":"2019","unstructured":"Pare S, Kumar A, Bajaj V, Singh GK (2019) A context sensitive multilevel thresholding using swarm based algorithms. IEEE\/CAA J Autom Sin 6(6):1471\u20131486","journal-title":"IEEE\/CAA J Autom Sin"},{"issue":"6","key":"8658_CR3","doi-asserted-by":"publisher","first-page":"998","DOI":"10.1049\/iet-ipr.2018.6150","volume":"13","author":"D Shao","year":"2019","unstructured":"Shao D, Xu C, Xiang Y, Gui P, Zhu X, Zhang C, Yu Z (2019) Ultrasound image segmentation with multilevel threshold based on differential search algorithm. IET Image Proc 13(6):998\u20131005","journal-title":"IET Image Proc"},{"issue":"7","key":"8658_CR4","doi-asserted-by":"publisher","first-page":"3538","DOI":"10.1016\/j.eswa.2013.10.059","volume":"41","author":"AK Bhandari","year":"2014","unstructured":"Bhandari AK, Singh VK, Kumar A, Singh GK (2014) Cuckoo search algorithm and wind driven optimization based study of satellite image segmentation for multilevel thresholding using Kapur\u2019s entropy. Expert Syst Appl 41(7):3538\u20133560","journal-title":"Expert Syst Appl"},{"key":"8658_CR5","doi-asserted-by":"publisher","first-page":"76529","DOI":"10.1109\/ACCESS.2019.2921545","volume":"7","author":"X Bao","year":"2019","unstructured":"Bao X, Jia H, Lang C (2019) A novel hybrid harris hawks optimization for color image multilevel thresholding segmentation. IEEE Access 7:76529\u201376546","journal-title":"IEEE Access"},{"key":"8658_CR6","doi-asserted-by":"publisher","first-page":"44097","DOI":"10.1109\/ACCESS.2019.2908718","volume":"7","author":"H Jia","year":"2019","unstructured":"Jia H, Ma JUN, Song W (2019) Multilevel thresholding segmentation for color image using modified moth-flame optimization. IEEE Access 7:44097\u201344134","journal-title":"IEEE Access"},{"key":"8658_CR7","doi-asserted-by":"publisher","first-page":"476","DOI":"10.1016\/j.compeleceng.2017.08.008","volume":"70","author":"S Pare","year":"2018","unstructured":"Pare S, Bhandari AK, Kumar A, Singh GK (2018) A new technique for multilevel color image thresholding based on modified fuzzy entropy and L\u00e9vy flight firefly algorithm. Comput Electr Eng 70:476\u2013495","journal-title":"Comput Electr Eng"},{"issue":"1","key":"8658_CR8","doi-asserted-by":"publisher","first-page":"22","DOI":"10.1016\/0734-189X(89)90051-0","volume":"47","author":"AS Abutaleb","year":"1989","unstructured":"Abutaleb AS (1989) Automatic thresholding of gray-level pictures using two-dimensional entropy. Comput Vis Graph Image Process 47(1):22\u201332","journal-title":"Comput Vis Graph Image Process"},{"issue":"12","key":"8658_CR9","doi-asserted-by":"publisher","first-page":"127007","DOI":"10.1117\/1.3526333","volume":"49","author":"Y Xiao","year":"2010","unstructured":"Xiao Y, Cao Z, Zhong S (2010) New entropic thresholding approach using gray-level spatial correlation histogram. Opt Eng 49(12):127007\u2013127007","journal-title":"Opt Eng"},{"key":"8658_CR10","doi-asserted-by":"publisher","first-page":"287","DOI":"10.1016\/j.neucom.2012.10.031","volume":"120","author":"A Yimit","year":"2013","unstructured":"Yimit A, Hagihara Y, Miyoshi T, Hagihara Y (2013) 2-D direction histogram based entropic thresholding. Neurocomputing 120:287\u2013297","journal-title":"Neurocomputing"},{"key":"8658_CR11","doi-asserted-by":"publisher","first-page":"47","DOI":"10.1016\/j.patrec.2013.12.017","volume":"40","author":"Y Xiao","year":"2014","unstructured":"Xiao Y, Cao Z, Yuan J (2014) Entropic image thresholding based on GLGM histogram. Pattern Recogn Lett 40:47\u201355","journal-title":"Pattern Recogn Lett"},{"key":"8658_CR12","doi-asserted-by":"publisher","first-page":"5269","DOI":"10.1109\/ACCESS.2017.2757528","volume":"6","author":"J Chen","year":"2017","unstructured":"Chen J, Guan B, Wang H, Zhang X, Tang Y, Hu W (2017) Image thresholding segmentation based on two dimensional histogram using gray level and local entropy information. IEEE Access 6:5269\u20135275","journal-title":"IEEE Access"},{"issue":"5","key":"8658_CR13","doi-asserted-by":"publisher","first-page":"191","DOI":"10.3390\/e19050191","volume":"19","author":"X Zheng","year":"2017","unstructured":"Zheng X, Ye H, Tang Y (2017) Image bi-level thresholding based on gray level-local variance histogram. Entropy 19(5):191","journal-title":"Entropy"},{"issue":"4","key":"8658_CR14","first-page":"2113","volume":"13","author":"S Yi","year":"2019","unstructured":"Yi S, Zhang G, He J, Tong L (2019) Entropic image thresholding segmentation based on Gabor histogram. KSII Trans Internet Inf Syst (TIIS) 13(4):2113\u20132128","journal-title":"KSII Trans Internet Inf Syst (TIIS)"},{"issue":"12","key":"8658_CR15","doi-asserted-by":"publisher","first-page":"4788","DOI":"10.1109\/TIP.2013.2277832","volume":"22","author":"S Sarkar","year":"2013","unstructured":"Sarkar S, Das S (2013) Multilevel image thresholding based on 2D histogram and maximum Tsallis entropy\u2014a differential evolution approach. IEEE Trans Image Process 22(12):4788\u20134797","journal-title":"IEEE Trans Image Process"},{"key":"8658_CR16","doi-asserted-by":"publisher","first-page":"226","DOI":"10.1016\/j.engappai.2018.03.001","volume":"71","author":"H Mittal","year":"2018","unstructured":"Mittal H, Saraswat M (2018) An optimum multi-level image thresholding segmentation using non-local means 2D histogram and exponential Kbest gravitational search algorithm. Eng Appl Artif Intell 71:226\u2013235","journal-title":"Eng Appl Artif Intell"},{"key":"8658_CR17","doi-asserted-by":"publisher","first-page":"26304","DOI":"10.1109\/ACCESS.2020.2971249","volume":"8","author":"AA Ewees","year":"2020","unstructured":"Ewees AA, Abd Elaziz M, Al-Qaness MA, Khalil HA, Kim S (2020) Improved artificial bee colony using sine-cosine algorithm for multi-level thresholding image segmentation. IEEE Access 8:26304\u201326315","journal-title":"IEEE Access"},{"key":"8658_CR18","doi-asserted-by":"publisher","first-page":"32018","DOI":"10.1109\/ACCESS.2020.2973411","volume":"8","author":"X Wang","year":"2020","unstructured":"Wang X, Pan JS, Chu SC (2020) A parallel multi-verse optimizer for application in multilevel image segmentation. IEEE Access 8:32018\u201332030","journal-title":"IEEE Access"},{"issue":"8","key":"8658_CR19","doi-asserted-by":"publisher","first-page":"12351","DOI":"10.1007\/s11042-022-13671-9","volume":"82","author":"Y Olmez","year":"2023","unstructured":"Olmez Y, Sengur A, Koca GO, Rao RV (2023) An adaptive multilevel thresholding method with chaotically-enhanced Rao algorithm. Multimed Tools Appl 82(8):12351\u201312377","journal-title":"Multimed Tools Appl"},{"key":"8658_CR20","doi-asserted-by":"publisher","first-page":"16269","DOI":"10.1109\/ACCESS.2020.2966665","volume":"8","author":"Z Zhang","year":"2020","unstructured":"Zhang Z, Yin J (2020) Bee foraging algorithm based multi-level thresholding for image segmentation. IEEE Access 8:16269\u201316280","journal-title":"IEEE Access"},{"key":"8658_CR21","doi-asserted-by":"publisher","first-page":"41294","DOI":"10.1109\/ACCESS.2020.3005452","volume":"9","author":"Z Yan","year":"2020","unstructured":"Yan Z, Zhang J, Yang Z, Tang J (2020) Kapur\u2019s entropy for underwater multilevel thresholding image segmentation based on whale optimization algorithm. IEEE Access 9:41294\u201341319","journal-title":"IEEE Access"},{"key":"8658_CR22","doi-asserted-by":"publisher","first-page":"181405","DOI":"10.1109\/ACCESS.2019.2959325","volume":"7","author":"HSN Alwerfali","year":"2019","unstructured":"Alwerfali HSN, Abd Elaziz M, Al-Qaness MA, Abbasi AA, Lu S, Liu F, Li L (2019) A multilevel image thresholding based on hybrid salp swarm algorithm and fuzzy entropy. IEEE Access 7:181405\u2013181422","journal-title":"IEEE Access"},{"issue":"1","key":"8658_CR23","doi-asserted-by":"publisher","first-page":"200","DOI":"10.1109\/JAS.2019.1911843","volume":"7","author":"AK Bhandari","year":"2020","unstructured":"Bhandari AK, Ghosh A, Kumar IV (2020) A local contrast fusion based 3D Otsu algorithm for multilevel image segmentation. IEEE CAA J Autom Sin 7(1):200\u2013213","journal-title":"IEEE CAA J Autom Sin"},{"key":"8658_CR24","doi-asserted-by":"publisher","first-page":"165571","DOI":"10.1109\/ACCESS.2019.2953494","volume":"7","author":"K Li","year":"2019","unstructured":"Li K, Tan Z (2019) An improved flower pollination optimizer algorithm for multilevel image thresholding. IEEE Access 7:165571\u2013165582","journal-title":"IEEE Access"},{"key":"8658_CR25","doi-asserted-by":"crossref","unstructured":"Malviya UK (2020) Tumor detection in MRI images using modified multi-level Otsu thresholding (MLOT) and cross-correlation of principle components. In:\u00a02020 Fourth international conference on computing methodologies and communication (ICCMC), pp 126\u2013131. IEEE","DOI":"10.1109\/ICCMC48092.2020.ICCMC-00026"},{"issue":"2","key":"8658_CR26","doi-asserted-by":"publisher","first-page":"77","DOI":"10.12785\/isl\/010202","volume":"1","author":"W Xue-guang","year":"2012","unstructured":"Xue-guang W, Shu-hong C (2012) An improved image segmentation algorithm based on two-dimensional Otsu method. Inf Sci Lett 1(2):77\u201383","journal-title":"Inf Sci Lett"},{"issue":"6","key":"8658_CR27","first-page":"3287","volume":"26","author":"E Tanyildizi","year":"2018","unstructured":"Tanyildizi E (2018) A novel optimization method for solving constrained and unconstrained problems: modified golden sine algorithm. Turk J Electr Eng Comput Sci 26(6):3287\u20133304","journal-title":"Turk J Electr Eng Comput Sci"},{"issue":"11","key":"8658_CR28","doi-asserted-by":"publisher","first-page":"827","DOI":"10.3390\/e20110827","volume":"20","author":"C Jiang","year":"2018","unstructured":"Jiang C, Yang W, Guo Y, Wu F, Tang Y (2018) Nonlocal means two dimensional histogram-based image segmentation via minimizing relative entropy. Entropy 20(11):827","journal-title":"Entropy"},{"key":"8658_CR29","doi-asserted-by":"publisher","first-page":"11258","DOI":"10.1109\/ACCESS.2019.2891673","volume":"7","author":"H Liang","year":"2019","unstructured":"Liang H, Jia H, Xing Z, Ma J, Peng X (2019) Modified grasshopper algorithm-based multilevel thresholding for color image segmentation. IEEE Access 7:11258\u201311295","journal-title":"IEEE Access"},{"issue":"2","key":"8658_CR30","doi-asserted-by":"publisher","first-page":"71","DOI":"10.4316\/AECE.2017.02010","volume":"17","author":"E Tanyildizi","year":"2017","unstructured":"Tanyildizi E, Demir G (2017) Golden sine algorithm: a novel math-inspired algorithm. Adv Electr Comput Eng 17(2):71\u201378","journal-title":"Adv Electr Comput Eng"},{"issue":"6","key":"8658_CR31","doi-asserted-by":"publisher","first-page":"681","DOI":"10.3390\/math9060681","volume":"9","author":"LB Iantovics","year":"2021","unstructured":"Iantovics LB (2021) Black-box-based mathematical modelling of machine intelligence measuring. Mathematics 9(6):681","journal-title":"Mathematics"},{"issue":"1","key":"8658_CR32","first-page":"213","volume":"36","author":"Y Olmez","year":"2020","unstructured":"Olmez Y, Sengur A, \u00d6zmen Koca G (2020) Multilevel thresholding with metaheuristic methods. J Fac Eng Archit Gazi Univ 36(1):213\u2013224","journal-title":"J Fac Eng Archit Gazi Univ"}],"container-title":["Neural Computing and Applications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00521-023-08658-y.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s00521-023-08658-y\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00521-023-08658-y.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,10,21]],"date-time":"2024-10-21T01:49:11Z","timestamp":1729475351000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s00521-023-08658-y"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,5,25]]},"references-count":32,"journal-issue":{"issue":"24","published-print":{"date-parts":[[2023,8]]}},"alternative-id":["8658"],"URL":"https:\/\/doi.org\/10.1007\/s00521-023-08658-y","relation":{},"ISSN":["0941-0643","1433-3058"],"issn-type":[{"type":"print","value":"0941-0643"},{"type":"electronic","value":"1433-3058"}],"subject":[],"published":{"date-parts":[[2023,5,25]]},"assertion":[{"value":"13 September 2022","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"10 May 2023","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"25 May 2023","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"Non declared.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}}]}}