{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,2,15]],"date-time":"2024-02-15T11:22:56Z","timestamp":1707996176001},"reference-count":31,"publisher":"Springer Science and Business Media LLC","issue":"13","license":[{"start":{"date-parts":[[2022,5,5]],"date-time":"2022-05-05T00:00:00Z","timestamp":1651708800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2022,5,5]],"date-time":"2022-05-05T00:00:00Z","timestamp":1651708800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Soft Comput"],"published-print":{"date-parts":[[2022,7]]},"DOI":"10.1007\/s00500-022-07138-0","type":"journal-article","created":{"date-parts":[[2022,5,5]],"date-time":"2022-05-05T19:28:23Z","timestamp":1651778903000},"page":"6201-6218","update-policy":"http:\/\/dx.doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["LM-MFP: large-scale morphology and multi-criteria-based feature pooling for image parsing"],"prefix":"10.1007","volume":"26","author":[{"given":"Vishal","family":"Srivastava","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Bhaskar","family":"Biswas","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2022,5,5]]},"reference":[{"issue":"4","key":"7138_CR1","doi-asserted-by":"publisher","first-page":"305","DOI":"10.1080\/09540091.2014.970126","volume":"27","author":"T Altameem","year":"2015","unstructured":"Altameem T, Zanaty E, Tolba A (2015) A new fuzzy c-means method for magnetic resonance image brain segmentation. Connect Sci 27(4):305\u2013321. https:\/\/doi.org\/10.1080\/09540091.2014.970126","journal-title":"Connect Sci"},{"issue":"3","key":"7138_CR2","doi-asserted-by":"publisher","first-page":"663","DOI":"10.1080\/0952813X.2016.1212106","volume":"29","author":"KS Bhuvaneswari","year":"2017","unstructured":"Bhuvaneswari KS, Geetha P (2017) Segmentation and classification of brain images using firefly and hybrid kernel-based support vector machine. J Exp Theoretical Artif Intel 29(3):663\u2013678. https:\/\/doi.org\/10.1080\/0952813X.2016.1212106","journal-title":"J Exp Theoretical Artif Intel"},{"issue":"1","key":"7138_CR3","doi-asserted-by":"publisher","first-page":"19","DOI":"10.1007\/s12559-012-9147-2","volume":"5","author":"X Bian","year":"2013","unstructured":"Bian X, Zhang T, Zhang X, Yan L, Li B (2013) Clustering-based extraction of near border data samples for remote sensing image classification. Cogn Comput 5(1):19\u201331. https:\/\/doi.org\/10.1007\/s12559-012-9147-2","journal-title":"Cogn Comput"},{"key":"7138_CR4","doi-asserted-by":"publisher","DOI":"10.1007\/s12559-018-9580-y","author":"Z Cai","year":"2018","unstructured":"Cai Z, Shao L (2018) Rgb-d scene classification via multi-modal feature learning. Cogn Comput. https:\/\/doi.org\/10.1007\/s12559-018-9580-y","journal-title":"Cogn Comput"},{"issue":"7","key":"7138_CR5","doi-asserted-by":"publisher","first-page":"3899","DOI":"10.1109\/TGRS.2016.2530690","volume":"54","author":"G Cavallaro","year":"2016","unstructured":"Cavallaro G, Mura MD, Benediktsson JA, Plaza A (2016) Remote sensing image classification using attribute filters defined over the tree of shapes. IEEE Trans Geosci Remote Sens 54(7):3899\u20133911. https:\/\/doi.org\/10.1109\/TGRS.2016.2530690","journal-title":"IEEE Trans Geosci Remote Sens"},{"issue":"4","key":"7138_CR6","doi-asserted-by":"publisher","first-page":"1859","DOI":"10.1109\/TIP.2017.2664667","volume":"26","author":"G Cavallaro","year":"2017","unstructured":"Cavallaro G, Falco N, Dalla Mura M, Benediktsson JA (2017) Automatic attribute profiles. IEEE Trans Image Process 26(4):1859\u20131872. https:\/\/doi.org\/10.1109\/TIP.2017.2664667","journal-title":"IEEE Trans Image Process"},{"issue":"5","key":"7138_CR7","doi-asserted-by":"publisher","first-page":"457","DOI":"10.1016\/1049-9652(91)90030-N","volume":"53","author":"SY Chen","year":"1991","unstructured":"Chen SY, Lin WC, Chen CT (1991) Split-and-merge image segmentation based on localized feature analysis and statistical tests. CVGIP Graph Model Image Proc 53(5):457\u2013475. https:\/\/doi.org\/10.1016\/1049-9652(91)90030-N","journal-title":"CVGIP Graph Model Image Proc"},{"issue":"10","key":"7138_CR8","doi-asserted-by":"publisher","first-page":"3747","DOI":"10.1109\/TGRS.2010.2048116","volume":"48","author":"M Dalla Mura","year":"2010","unstructured":"Dalla Mura M, Benediktsson JA, Waske B, Bruzzone L (2010) Morphological attribute profiles for the analysis of very high resolution images. IEEE Trans Geosci Remote Sens 48(10):3747\u20133762. https:\/\/doi.org\/10.1109\/TGRS.2010.2048116","journal-title":"IEEE Trans Geosci Remote Sens"},{"key":"7138_CR9","doi-asserted-by":"publisher","first-page":"41","DOI":"10.1016\/j.asoc.2018.05.018","volume":"70","author":"A Garcia-Garcia","year":"2018","unstructured":"Garcia-Garcia A, Orts-Escolano S, Oprea S, Villena-Martinez V, Martinez-Gonzalez P, Garcia-Rodriguez J (2018) A survey on deep learning techniques for image and video semantic segmentation. Appl Soft Comput 70:41\u201365","journal-title":"Appl Soft Comput"},{"key":"7138_CR10","doi-asserted-by":"publisher","DOI":"10.1080\/09540091.2019.1639624","author":"E Hancer","year":"2019","unstructured":"Hancer E (2019) Fuzzy kernel feature selection with multi-objective differential evolution algorithm. Connect Sci. https:\/\/doi.org\/10.1080\/09540091.2019.1639624","journal-title":"Connect Sci"},{"issue":"4","key":"7138_CR11","doi-asserted-by":"publisher","first-page":"281","DOI":"10.1080\/09540090701725508","volume":"19","author":"J He","year":"2007","unstructured":"He J, Yao X, Chen Y (2007) A novel and practicable on-chip adaptive lossless image compression scheme using intrinsic evolvable hardware. Connect Sci 19(4):281\u2013295. https:\/\/doi.org\/10.1080\/09540090701725508","journal-title":"Connect Sci"},{"key":"7138_CR12","doi-asserted-by":"publisher","first-page":"16","DOI":"10.1016\/j.cviu.2017.05.004","volume":"164","author":"A Holliday","year":"2017","unstructured":"Holliday A, Barekatain M, Laurmaa J, Kandaswamy C, Prendinger H (2017) Speedup of deep learning ensembles for semantic segmentation using a model compression technique. Comput Vis Image Underst 164:16\u201326","journal-title":"Comput Vis Image Underst"},{"issue":"6","key":"7138_CR13","doi-asserted-by":"publisher","first-page":"911","DOI":"10.1080\/0952813X.2018.1509380","volume":"30","author":"GW Jiji","year":"2018","unstructured":"Jiji GW (2018) Identifying stage of Alzheimer disease using multiclass particle swarm optimisation technique. J Exp Theor Artif Intel 30(6):911\u2013925. https:\/\/doi.org\/10.1080\/0952813X.2018.1509380","journal-title":"J Exp Theor Artif Intel"},{"issue":"1","key":"7138_CR14","doi-asserted-by":"publisher","first-page":"27","DOI":"10.1080\/09540091.2015.1130019","volume":"28","author":"HA Kholerdi","year":"2016","unstructured":"Kholerdi HA, TaheriNejad N, Ghaderi R, Baleghi Y (2016) Driver\u2018s drowsiness detection using an enhanced image processing technique inspired by the human visual system. Connect Sci 28(1):27\u201346. https:\/\/doi.org\/10.1080\/09540091.2015.1130019","journal-title":"Connect Sci"},{"issue":"8","key":"7138_CR15","doi-asserted-by":"publisher","first-page":"2807","DOI":"10.1007\/s10489-019-01423-6","volume":"49","author":"P Lopez-Garcia","year":"2019","unstructured":"Lopez-Garcia P, Masegosa AD, Osaba E, Onieva E, Perallos A (2019) Ensemble classification for imbalanced data based on feature space partitioning and hybrid metaheuristics. Appl Intell 49(8):2807\u20132822. https:\/\/doi.org\/10.1007\/s10489-019-01423-6","journal-title":"Appl Intell"},{"key":"7138_CR16","doi-asserted-by":"publisher","unstructured":"Lorenzo-Navarro J, HERN\u00c1 NDEZ-TEJERA M, (1994) Image segmentation using a modified split and merge technique. Cybern Syst 25(1):137\u2013162. https:\/\/doi.org\/10.1080\/01969729408902319","DOI":"10.1080\/01969729408902319"},{"key":"7138_CR17","doi-asserted-by":"publisher","DOI":"10.1007\/s12559-019-09637-z","author":"X Ma","year":"2019","unstructured":"Ma X, Liu W, Tao D, Zhou Y (2019) Ensemble p-Laplacian regularization for scene image recognition. Cogn Comput. https:\/\/doi.org\/10.1007\/s12559-019-09637-z","journal-title":"Cogn Comput"},{"issue":"2","key":"7138_CR18","doi-asserted-by":"publisher","first-page":"243","DOI":"10.1109\/TCI.2017.2669731","volume":"3","author":"A Marinoni","year":"2017","unstructured":"Marinoni A, Gamba P (2017) Unsupervised data driven feature extraction by means of mutual information maximization. IEEE Trans Comput Imag 3(2):243\u2013253. https:\/\/doi.org\/10.1109\/TCI.2017.2669731","journal-title":"IEEE Trans Comput Imag"},{"issue":"8","key":"7138_CR19","doi-asserted-by":"publisher","first-page":"1533","DOI":"10.1109\/TPAMI.2011.245","volume":"34","author":"GK Ouzounis","year":"2012","unstructured":"Ouzounis GK, Pesaresi M, Soille P (2012) Differential area profiles: Decomposition properties and efficient computation. IEEE Trans Pattern Anal Mach Intell 34(8):1533\u20131548. https:\/\/doi.org\/10.1109\/TPAMI.2011.245","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"issue":"8","key":"7138_CR20","doi-asserted-by":"publisher","first-page":"1378","DOI":"10.1109\/LGRS.2017.2713462","volume":"14","author":"S Rashwan","year":"2017","unstructured":"Rashwan S, Dobigeon N (2017) A split-and-merge approach for hyperspectral band selection. IEEE Geosci Remote Sens Lett 14(8):1378\u20131382. https:\/\/doi.org\/10.1109\/LGRS.2017.2713462","journal-title":"IEEE Geosci Remote Sens Lett"},{"issue":"4","key":"7138_CR21","doi-asserted-by":"publisher","first-page":"555","DOI":"10.1109\/83.663500","volume":"7","author":"P Salembier","year":"1998","unstructured":"Salembier P, Oliveras A, Garrido L (1998) Antiextensive connected operators for image and sequence processing. IEEE Trans Image Process 7(4):555\u2013570. https:\/\/doi.org\/10.1109\/83.663500","journal-title":"IEEE Trans Image Process"},{"issue":"3","key":"7138_CR22","doi-asserted-by":"publisher","first-page":"349","DOI":"10.1080\/0952813X.2018.1549108","volume":"31","author":"RS Wadawadagi","year":"2019","unstructured":"Wadawadagi RS, Pagi VB (2019) A multi-layer approach to opinion polarity classification using augmented semantic tree kernels. J Exp Theor Artif Intell 31(3):349\u2013367. https:\/\/doi.org\/10.1080\/0952813X.2018.1549108","journal-title":"J Exp Theor Artif Intell"},{"issue":"4","key":"7138_CR23","doi-asserted-by":"publisher","first-page":"311","DOI":"10.1080\/09540091.2016.1212813","volume":"28","author":"H Wei","year":"2016","unstructured":"Wei H, Dai ZL, Zuo QS (2016) A ganglion-cell-based primary image representation method and its contribution to object recognition. Connect Sci 28(4):311\u2013331. https:\/\/doi.org\/10.1080\/09540091.2016.1212813","journal-title":"Connect Sci"},{"issue":"2","key":"7138_CR24","doi-asserted-by":"publisher","first-page":"169","DOI":"10.1080\/09540091.2018.1510902","volume":"31","author":"Z Wu","year":"2019","unstructured":"Wu Z, Gao Y, Li L, Xue J, Li Y (2019) Semantic segmentation of high-resolution remote sensing images using fully convolutional network with adaptive threshold. Connect Sci 31(2):169\u2013184. https:\/\/doi.org\/10.1080\/09540091.2018.1510902","journal-title":"Connect Sci"},{"issue":"3","key":"7138_CR25","doi-asserted-by":"publisher","first-page":"281","DOI":"10.1007\/s12559-013-9235-y","volume":"6","author":"Y Yao","year":"2014","unstructured":"Yao Y, Guo P, Xin X, Jiang Z (2014) Image fusion by hierarchical joint sparse representation. Cogn Comput 6(3):281\u2013292. https:\/\/doi.org\/10.1007\/s12559-013-9235-y","journal-title":"Cogn Comput"},{"key":"7138_CR26","doi-asserted-by":"publisher","unstructured":"Zanaty E, Asaad A (2013) Probabilistic region growing method for improving magnetic resonance image segmentation. Connect Sci 25(4):179\u2013196. https:\/\/doi.org\/10.1080\/09540091.2013.854736","DOI":"10.1080\/09540091.2013.854736"},{"key":"7138_CR27","doi-asserted-by":"publisher","DOI":"10.1007\/s12559-018-9582-9","author":"A Zhang","year":"2018","unstructured":"Zhang A, Liu S, Sun G, Huang H, Ma P, Rong J, Ma H, Lin C, Wang Z (2018) Clustering of remote sensing imagery using a social recognition-based multi-objective gravitational search algorithm. Cogn Comput. https:\/\/doi.org\/10.1007\/s12559-018-9582-9","journal-title":"Cogn Comput"},{"issue":"4","key":"7138_CR28","doi-asserted-by":"publisher","first-page":"436","DOI":"10.1007\/s12559-012-9170-3","volume":"4","author":"L Zhang","year":"2012","unstructured":"Zhang L, Barnden J (2012) Affect sensing using linguistic, semantic and cognitive cues in multi-threaded improvisational dialogue. Cogn Comput 4(4):436\u2013459. https:\/\/doi.org\/10.1007\/s12559-012-9170-3","journal-title":"Cogn Comput"},{"issue":"4","key":"7138_CR29","doi-asserted-by":"publisher","first-page":"2567","DOI":"10.1007\/s10462-020-09909-3","volume":"54","author":"L Abualigah","year":"2021","unstructured":"Abualigah L, Diabat A (2021) Advances in sine cosine algorithm: a comprehensive survey. Artif Intell Rev 54(4):2567\u20132608. https:\/\/doi.org\/10.1007\/s10462-020-09909-3","journal-title":"Artif Intell Rev"},{"key":"7138_CR30","doi-asserted-by":"publisher","DOI":"10.1016\/j.cie.2021.107250","author":"L Abualigah","year":"2021","unstructured":"Abualigah L, Yousri D, Elaziz MA, Ewees AA, Al-qaness MA, Gandomi AH (2021) Aquila optimizer: a novel meta-heuristic optimization algorithm. Comput Ind Eng. https:\/\/doi.org\/10.1016\/j.cie.2021.107250","journal-title":"Comput Ind Eng"},{"key":"7138_CR31","doi-asserted-by":"crossref","unstructured":"Abualigah LMQ (2018) Krill herd algorithm. In: feature selection and enhanced krill herd algorithm for text document clustering, Springer International Publishing, pp 11\u201319, 10.1007\/978-3-030-10674-4_2,","DOI":"10.1007\/978-3-030-10674-4_2"}],"container-title":["Soft Computing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00500-022-07138-0.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s00500-022-07138-0\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00500-022-07138-0.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,6,10]],"date-time":"2022-06-10T13:31:05Z","timestamp":1654867865000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s00500-022-07138-0"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,5,5]]},"references-count":31,"journal-issue":{"issue":"13","published-print":{"date-parts":[[2022,7]]}},"alternative-id":["7138"],"URL":"https:\/\/doi.org\/10.1007\/s00500-022-07138-0","relation":{},"ISSN":["1432-7643","1433-7479"],"issn-type":[{"value":"1432-7643","type":"print"},{"value":"1433-7479","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,5,5]]},"assertion":[{"value":"2 April 2022","order":1,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"5 May 2022","order":2,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"The authors declare that there is no conflict of interest","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}}]}}