{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,6]],"date-time":"2025-11-06T01:03:48Z","timestamp":1762391028757,"version":"3.37.3"},"reference-count":71,"publisher":"Springer Science and Business Media LLC","issue":"10","license":[{"start":{"date-parts":[[2022,1,22]],"date-time":"2022-01-22T00:00:00Z","timestamp":1642809600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2022,1,22]],"date-time":"2022-01-22T00:00:00Z","timestamp":1642809600000},"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":["Neural Comput &amp; Applic"],"published-print":{"date-parts":[[2022,5]]},"DOI":"10.1007\/s00521-022-06900-7","type":"journal-article","created":{"date-parts":[[2022,1,22]],"date-time":"2022-01-22T16:03:01Z","timestamp":1642867381000},"page":"8137-8154","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":22,"title":["A feature level image fusion for IR and visible image using mNMRA based segmentation"],"prefix":"10.1007","volume":"34","author":[{"given":"Simrandeep","family":"Singh","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Nitin","family":"Mittal","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9713-6048","authenticated-orcid":false,"given":"Harbinder","family":"Singh","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2022,1,22]]},"reference":[{"key":"6900_CR1","doi-asserted-by":"publisher","first-page":"52","DOI":"10.1016\/j.infrared.2016.01.009","volume":"76","author":"DP Bavirisetti","year":"2016","unstructured":"Bavirisetti DP, Dhuli R (2016) Two-scale image fusion of visible and infrared images using saliency detection. Infrared Phys Technol 76:52\u201364","journal-title":"Infrared Phys Technol"},{"key":"6900_CR2","doi-asserted-by":"crossref","unstructured":"Mirjalili S, Mirjalili SM, Lewis A, Grey wolf optimizer. Adv Eng Softw 69:46\u201361","DOI":"10.1016\/j.advengsoft.2013.12.007"},{"key":"6900_CR3","doi-asserted-by":"crossref","unstructured":"Chen B, Qu R, Bai R, Laesanklang W, A variable neighborhood search algorithm with reinforcement learning for a real-life periodic vehicle routing problem with time windows and open routes. RAIRO Oper Res 54(5):1467\u20131494","DOI":"10.1051\/ro\/2019080"},{"key":"6900_CR4","doi-asserted-by":"crossref","unstructured":"Ma J, Xu H, Jiang J, Mei X, Zhang X-P (2020) DDcGAN: a dual-discriminator conditional generative adversarial network for multi-resolution image fusion. IEEE Trans Image Process, vol 29","DOI":"10.1109\/TIP.2020.2977573"},{"key":"6900_CR5","doi-asserted-by":"crossref","unstructured":"Singh S, Mittal N, Singh H (2020) Multifocus image fusion based on multiresolution pyramid and bilateral filter. IETE J Res, pp 1\u201312","DOI":"10.1080\/03772063.2019.1711205"},{"key":"6900_CR6","doi-asserted-by":"publisher","first-page":"106776","DOI":"10.1016\/j.optlaseng.2021.106776","volume":"148","author":"Y Chen","year":"2022","unstructured":"Chen Y, Cheng L, Wu H, Mo F, Chen Z (2022) Infrared and visible image fusion based on iterative differential thermal information filter. Opt Lasers Eng 148:106776","journal-title":"Opt Lasers Eng"},{"key":"6900_CR7","doi-asserted-by":"publisher","first-page":"198","DOI":"10.1016\/j.inffus.2015.03.003","volume":"27","author":"M Kim","year":"2016","unstructured":"Kim M, Han DK, Ko H (2016) Joint patch clustering-based dictionary learning for multimodal image fusion. Inf Fusion 27:198\u2013214","journal-title":"Inf Fusion"},{"key":"6900_CR8","doi-asserted-by":"crossref","unstructured":"Manchanda M, Sharma R (2018) An improved multimodal medical image fusion algorithm based on fuzzy transform. J Vis Commun Image Represent, vol 51(December 2016), pp 76\u201394","DOI":"10.1016\/j.jvcir.2017.12.011"},{"issue":"6","key":"6900_CR9","doi-asserted-by":"publisher","first-page":"067007","DOI":"10.1117\/1.3584840","volume":"50","author":"H Yin","year":"2011","unstructured":"Yin H (2011) Multimodal image fusion with joint sparsity model. Opt Eng 50(6):067007","journal-title":"Opt Eng"},{"key":"6900_CR10","doi-asserted-by":"crossref","unstructured":"Lahat D et al (2015) Multimodal data fusion: an overview of methods, challenges and prospects. pp 1\u201326","DOI":"10.1109\/JPROC.2015.2460697"},{"issue":"12","key":"6900_CR11","first-page":"54","volume":"4","author":"NB Kolekar","year":"2015","unstructured":"Kolekar NB, Shelkikar RP (2015) Decision level based image fusion using wavelet transform and support vector machine. Int J Sci Eng Res 4(12):54\u201358","journal-title":"Int J Sci Eng Res"},{"key":"6900_CR12","unstructured":"Xu H, Ma J, Jiang J, Guo X, Ling H (2020) U2Fusion: a unified unsupervised image fusion network. IEEE Trans Pattern Anal Mach Intell"},{"key":"6900_CR13","doi-asserted-by":"crossref","unstructured":"Hospital TK (2006) A method for image registration by maximization of mutual information, pp 1469\u20131472","DOI":"10.1109\/SICE.2006.315301"},{"key":"6900_CR14","doi-asserted-by":"crossref","unstructured":"Qiu C, Wang Y, Zhang H, Xia S (2017) Image fusion of CT and MR with sparse representation in NSST domain. Comput Math Methods Med, vol 2017","DOI":"10.1155\/2017\/9308745"},{"key":"6900_CR15","doi-asserted-by":"publisher","first-page":"11","DOI":"10.1016\/j.infrared.2015.11.003","volume":"74","author":"Q Zhang","year":"2016","unstructured":"Zhang Q, Maldague X (2016) Infrared Physics and technology an adaptive fusion approach for infrared and visible images based on NSCT and compressed sensing. Infrared Phys Technol 74:11\u201320","journal-title":"Infrared Phys Technol"},{"issue":"1","key":"6900_CR16","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1117\/1.OE.51.1.010901","volume":"51","author":"A Toet","year":"2012","unstructured":"Toet A, Hogervorst MA (2012) Progress in color night vision. Opt Eng 51(1):1\u201320","journal-title":"Opt Eng"},{"key":"6900_CR17","doi-asserted-by":"crossref","unstructured":"Zhang J, Ma X, Fan Y, Zhang F, Huang Y (2017) Infrared and visible image fusion via saliency analysis and local edge-preserving multi-scale decomposition, 34(8): 1400\u20131410","DOI":"10.1364\/JOSAA.34.001400"},{"issue":"1","key":"6900_CR18","doi-asserted-by":"publisher","first-page":"6","DOI":"10.1007\/s12204-010-7186-y","volume":"15","author":"B Yang","year":"2010","unstructured":"Yang B, Jing ZL, Zhao HT (2010) Review of pixel-level image fusion. J Shanghai Jiaotong Univ 15(1):6\u201312","journal-title":"J Shanghai Jiaotong Univ"},{"issue":"3","key":"6900_CR19","doi-asserted-by":"publisher","first-page":"611","DOI":"10.1016\/j.bbe.2018.03.004","volume":"38","author":"P Sreeja","year":"2018","unstructured":"Sreeja P, Hariharan S (2018) An improved feature based image fusion technique for enhancement of liver lesions. Biocybern Biomed Eng 38(3):611\u2013623","journal-title":"Biocybern Biomed Eng"},{"issue":"8","key":"6900_CR20","doi-asserted-by":"publisher","first-page":"1224","DOI":"10.3923\/itj.2007.1224.1230","volume":"6","author":"M Sasikala","year":"2007","unstructured":"Sasikala M, Kumaravel N (2007) A comparative analysis of feature based image fusion methods. Inf Technol J 6(8):1224\u20131230","journal-title":"Inf Technol J"},{"key":"6900_CR21","doi-asserted-by":"crossref","unstructured":"Meher B, Agrawal S, Panda R, Abraham A (2019) A survey on region based image fusion methods. Inf Fusion 48(August 2018): 119\u2013132","DOI":"10.1016\/j.inffus.2018.07.010"},{"issue":"5","key":"6900_CR22","doi-asserted-by":"publisher","first-page":"823","DOI":"10.1080\/014311698215748","volume":"19","author":"C Pohl","year":"1998","unstructured":"Pohl C, Van Genderen JL (1998) Review article multisensor image fusion in remote sensing: concepts, methods and applications. Int J Remote Sens 19(5):823\u2013854","journal-title":"Int J Remote Sens"},{"key":"6900_CR23","doi-asserted-by":"crossref","unstructured":"Cvejic N, Bull D, Canagarajah N (2007) Region-based multimodal image fusion using ICA bases, 7(5): 743\u2013751","DOI":"10.1109\/JSEN.2007.894926"},{"issue":"4","key":"6900_CR24","doi-asserted-by":"publisher","first-page":"884","DOI":"10.1109\/TIM.2009.2026612","volume":"59","author":"B Yang","year":"2010","unstructured":"Yang B, Li S (2010) Multifocus image fusion and restoration with sparse representation. IEEE Trans Instrum Meas 59(4):884\u2013892","journal-title":"IEEE Trans Instrum Meas"},{"issue":"11","key":"6900_CR25","first-page":"1639","volume":"3","author":"S Singh","year":"2013","unstructured":"Singh S, Singh N, Singh H (2013) Multi-resolution representation of multifocus image fusion using Gaussian and Laplacian pyramids. Int J Adv Res Comput Sci Softw Eng 3(11):1639\u20131642","journal-title":"Int J Adv Res Comput Sci Softw Eng"},{"key":"6900_CR26","doi-asserted-by":"publisher","first-page":"1235","DOI":"10.1038\/s41598-020-80189-1","volume":"11","author":"L Yan","year":"2021","unstructured":"Yan L, Hao Q, Cao J, Rizvi S, Kun L, Zhengang Y, Zhimin W (2021) Infrared and visible image fusion via octave Gaussian pyramid framework. Sci Rep 11:1235","journal-title":"Sci Rep"},{"issue":"2","key":"6900_CR27","first-page":"25","volume":"9","author":"S Krishnamoorthy","year":"2010","unstructured":"Krishnamoorthy S, Soman KP (2010) Implementation and comparative study of image fusion algorithms. Int J Comput Appl 9(2):25\u201335","journal-title":"Int J Comput Appl"},{"key":"6900_CR28","unstructured":"Micheal AA, Vani K, Sandjeevi S, Suresh Kumar R (2011) Image fusion of the multi-sensor lunar image data using DT-CWT and curvelet transform. Int Conf Recent Trends Inf Technol ICRTIT, pp 1\u20137"},{"key":"6900_CR29","doi-asserted-by":"crossref","unstructured":"Sadjadi F (2006) Comparative image fusion analysis. In: IEEE Computer society conference on computer vision and pattern recognition (CVPR\u201905)-workshops, p 8","DOI":"10.1109\/CVPR.2005.436"},{"key":"6900_CR30","doi-asserted-by":"publisher","first-page":"369","DOI":"10.1007\/s42452-020-04050-w","volume":"3","author":"JA Aghamaleki","year":"2021","unstructured":"Aghamaleki JA, Ghorbani A (2021) Infrared and visible image fusion based on optimal segmenting and contour extraction. SN Appl Sci 3:369","journal-title":"SN Appl Sci"},{"issue":"2","key":"6900_CR31","first-page":"227","volume":"29","author":"H Li","year":"2013","unstructured":"Li H, Chai Y, Ling R, Yin H (2013) Multifocus image fusion scheme using feature contrast of orientation information measure in lifting stationary wavelet domain. J Inf Sci Eng 29(2):227\u2013247","journal-title":"J Inf Sci Eng"},{"key":"6900_CR32","doi-asserted-by":"publisher","first-page":"63","DOI":"10.1016\/j.bspc.2018.08.017","volume":"47","author":"HR Shahdoosti","year":"2019","unstructured":"Shahdoosti HR, Tabatabaei Z (2019) MRI and PET\/SPECT image fusion at feature level using ant colony based segmentation. Biomed Signal Process Control 47:63\u201374","journal-title":"Biomed Signal Process Control"},{"key":"6900_CR33","doi-asserted-by":"crossref","unstructured":"Meher B, Agrawal S, Panda R, Abraham A (2019) A survey on region based image fusion methods. Inf Fusion","DOI":"10.1016\/j.inffus.2018.07.010"},{"key":"6900_CR34","unstructured":"Zhang DC, Chai S, Van Der Wal G (2011) Method of image fusion and enhancement using mask pyramid. In: 14th international conference on information fusion, pp 1\u20138"},{"key":"6900_CR35","doi-asserted-by":"crossref","unstructured":"Singh H, Hrisheekesha PN, Cristobal G (2019) Infrared and visible image fusion based on nonparametric segmentation. Int J Innov Technol Explor Eng 8(9 Special Issue): 29\u201335","DOI":"10.35940\/ijitee.I1005.0789S19"},{"issue":"1","key":"6900_CR36","doi-asserted-by":"publisher","first-page":"203","DOI":"10.1109\/JSEN.2015.2478655","volume":"16","author":"DP Bavirisetti","year":"2016","unstructured":"Bavirisetti DP, Dhuli R (2016) Fusion of infrared and visible sensor images based on anisotropic diffusion and Karhunen\u2013Loeve transform. IEEE Sens J 16(1):203\u2013209","journal-title":"IEEE Sens J"},{"key":"6900_CR37","doi-asserted-by":"publisher","first-page":"109","DOI":"10.1016\/j.inffus.2021.02.008","volume":"71","author":"G Li","year":"2021","unstructured":"Li G, Lin Y, Qu X (2021) An infrared and visible image fusion method based on multi-scale transformation and norm optimization. Inf Fusion 71:109\u2013129","journal-title":"Inf Fusion"},{"issue":"4209963","key":"6900_CR38","first-page":"1","volume":"2021","author":"D Zhang","year":"2021","unstructured":"Zhang D, Hou J, Wu W, Lu T, Zhou H (2021) A generative adversarial network with dual discriminators for infrared and visible image fusion based on saliency detection. Math Probl Eng 2021(4209963):1\u20139","journal-title":"Math Probl Eng"},{"issue":"7","key":"6900_CR39","doi-asserted-by":"publisher","first-page":"971","DOI":"10.1016\/j.imavis.2007.10.012","volume":"26","author":"S Li","year":"2008","unstructured":"Li S, Yang B (2008) Multifocus image fusion using region segmentation and spatial frequency. Image Vis Comput 26(7):971\u2013979","journal-title":"Image Vis Comput"},{"key":"6900_CR40","doi-asserted-by":"crossref","unstructured":"Kamel M, Zhao A (1993) Extraction of binary character\/graphics images from grayscale document images. In: CVGIP Graphical models and image processing, 55(3):203\u2013217","DOI":"10.1006\/cgip.1993.1015"},{"key":"6900_CR41","doi-asserted-by":"crossref","unstructured":"Marinoni A, Plaza A, Gamba P (2017) A novel preunmixing framework for efficient detection of linear mixtures in hyperspectral images. IEEE Trans Geosci Remote Sens, 55(8)","DOI":"10.1109\/TGRS.2017.2691319"},{"key":"6900_CR42","doi-asserted-by":"crossref","unstructured":"Mousavirad SJ, Ebrahimpour-komleh H (2019) Human mental search-based multilevel thresholding for image segmentation. Appl Soft Comput J","DOI":"10.1016\/j.asoc.2019.04.002"},{"issue":"12","key":"6900_CR43","doi-asserted-by":"publisher","first-page":"2525","DOI":"10.1109\/TPAMI.2016.2645157","volume":"39","author":"Z Shi","year":"2017","unstructured":"Shi Z, Yang Y, Hospedales TM, Xiang T (2017) Weakly-supervised image annotation and segmentation with objects and attributes. IEEE Trans Pattern Anal Mach Intell 39(12):2525\u20132538","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"key":"6900_CR44","doi-asserted-by":"crossref","unstructured":"Wan T, Member S, Canagarajah N, Achim A, Member S (2009) Segmentation-driven image fusion based on alpha-stable modeling of wavelet coefficients, 11(4): 624\u2013633","DOI":"10.1109\/TMM.2009.2017640"},{"issue":"1","key":"6900_CR45","first-page":"23","volume":"16","author":"JD Elon","year":"2007","unstructured":"Elon JD (2007) A non parametric theory for histogram segmentation. IEEE Trans Image Process 16(1):23\u2013261","journal-title":"IEEE Trans Image Process"},{"key":"6900_CR46","doi-asserted-by":"publisher","first-page":"930","DOI":"10.1109\/ICCV.2005.19","volume":"II","author":"HEA El Munim","year":"2005","unstructured":"El Munim HEA, Farag AA (2005) A shape-based segmentation approach: an improved technique using level sets. Proc IEEE Int Conf Comput Vis II:930\u2013935","journal-title":"Proc IEEE Int Conf Comput Vis"},{"issue":"4","key":"6900_CR47","doi-asserted-by":"publisher","first-page":"1","DOI":"10.3390\/e20040239","volume":"20","author":"Z Ye","year":"2018","unstructured":"Ye Z, Yang J, Wang M, Zong X, Yan L, Liu W (2018) 2D Tsallis entropy for image segmentation based on modified chaotic bat algorithm. Entropy 20(4):1\u201328","journal-title":"Entropy"},{"key":"6900_CR48","unstructured":"Pal C, Chakrabarti A, Ghosh R (2015) A brief survey of recent edge-preserving smoothing algorithms on digital images"},{"issue":"1","key":"6900_CR49","doi-asserted-by":"publisher","first-page":"18","DOI":"10.1109\/LGRS.2015.2492569","volume":"13","author":"Y Song","year":"2016","unstructured":"Song Y, Wu W, Liu Z, Yang X, Liu K, Lu W (2016) An adaptive pansharpening method by using weighted least squares filter. IEEE Geosci Remote Sens Lett 13(1):18\u201322","journal-title":"IEEE Geosci Remote Sens Lett"},{"issue":"1","key":"6900_CR50","doi-asserted-by":"publisher","first-page":"62","DOI":"10.1109\/TSMC.1979.4310076","volume":"9","author":"N Otsu","year":"1979","unstructured":"Otsu N (1979) A threshold selection method from gray-level histograms. IEEE Trans Syst Man Cybern 9(1):62\u201366","journal-title":"IEEE Trans Syst Man Cybern"},{"issue":"3","key":"6900_CR51","first-page":"318","volume":"22","author":"M Tuba","year":"2014","unstructured":"Tuba M (2014) Multilevel image thresholding by nature-inspired algorithms: a short review. Icisp 22(3):318\u2013338","journal-title":"Icisp"},{"issue":"12","key":"6900_CR52","doi-asserted-by":"publisher","first-page":"8837","DOI":"10.1007\/s00521-019-04464-7","volume":"31","author":"R Salgotra","year":"2019","unstructured":"Salgotra R, Singh U (2019) The naked mole-rat algorithm. Neural Comput Appl 31(12):8837\u20138857","journal-title":"Neural Comput Appl"},{"key":"6900_CR53","doi-asserted-by":"publisher","first-page":"176","DOI":"10.1016\/j.eswa.2018.08.045","volume":"117","author":"VK Bohat","year":"2019","unstructured":"Bohat VK, Arya KV (2019) A new heuristic for multilevel thresholding of images. Exp Syst Appl 117:176\u2013203","journal-title":"Exp Syst Appl"},{"key":"6900_CR54","doi-asserted-by":"publisher","first-page":"46","DOI":"10.1016\/j.advengsoft.2013.12.007","volume":"69","author":"S Mirjalili","year":"2014","unstructured":"Mirjalili S, Mirjalili SM, Lewis A (2014) Grey wolf optimizer. Adv Eng Softw 69:46\u201361","journal-title":"Adv Eng Softw"},{"key":"6900_CR55","doi-asserted-by":"crossref","unstructured":"Shreyamsha Kumar BK (2013) Multifocus and multispectral image fusion based on pixel significance using discrete cosine harmonic wavelet transform. Signal Image Video Process 7(6): 1125\u20131143","DOI":"10.1007\/s11760-012-0361-x"},{"key":"6900_CR56","doi-asserted-by":"crossref","unstructured":"Shreyamsha Kumar BK (2015) Image fusion based on pixel significance using cross bilateral filter. Signal Image Video Process 9(5):1193\u20131204","DOI":"10.1007\/s11760-013-0556-9"},{"key":"6900_CR57","doi-asserted-by":"publisher","first-page":"94","DOI":"10.1016\/j.infrared.2017.04.018","volume":"83","author":"CH Liu","year":"2017","unstructured":"Liu CH, Qi Y, Ding WR (2017) Infrared and visible image fusion method based on saliency detection in sparse domain. Infrared Phys Technol 83:94\u2013102","journal-title":"Infrared Phys Technol"},{"issue":"5","key":"6900_CR58","doi-asserted-by":"publisher","first-page":"057006","DOI":"10.1117\/1.OE.52.5.057006","volume":"52","author":"Q Zhang","year":"2013","unstructured":"Zhang Q, Fu Y, Li H, Zou J (2013) Dictionary learning method for joint sparse representation-based image fusion. Opt Eng 52(5):057006","journal-title":"Opt Eng"},{"key":"6900_CR59","doi-asserted-by":"publisher","first-page":"191","DOI":"10.1016\/j.inffus.2016.12.001","volume":"36","author":"Y Liu","year":"2017","unstructured":"Liu Y, Chen X, Peng H, Wang Z (2017) Multi-focus image fusion with a deep convolutional neural network. Inf Fusion 36:191\u2013207","journal-title":"Inf Fusion"},{"issue":"12","key":"6900_CR60","doi-asserted-by":"publisher","first-page":"1882","DOI":"10.1109\/LSP.2016.2618776","volume":"23","author":"Y Liu","year":"2016","unstructured":"Liu Y, Chen X, Ward RK, Wang J (2016) Image fusion with convolutional sparse representation. IEEE Signal Process Lett 23(12):1882\u20131886","journal-title":"IEEE Signal Process Lett"},{"key":"6900_CR61","doi-asserted-by":"crossref","unstructured":"Li H, Wu X-J (2018) Infrared and visible image fusion using latent low-rank representation","DOI":"10.1109\/ICPR.2018.8546006"},{"key":"6900_CR62","unstructured":"Goyal S, Wahla R (2015) A review on image fusion. In: 2019 international conference on communication signal processing 4(2):7582\u20137588"},{"key":"6900_CR63","doi-asserted-by":"crossref","unstructured":"Bhatnagar G, Wu QMJ (2011) An image fusion framework based on human visual system in framelet domain. Int J Wavelets Multiresolution Inf Process 10(01):1250002","DOI":"10.1142\/S0219691311004444"},{"key":"6900_CR64","doi-asserted-by":"crossref","unstructured":"Hong R, Cao W, Pang J, Jiang J (2014) Directional projection based image fusion quality metric. Inf Sci (Ny)","DOI":"10.1016\/j.ins.2014.03.046"},{"key":"6900_CR65","doi-asserted-by":"crossref","unstructured":"Tian J, Chen L (2010) Multi-focus image fusion using wavelet-domain statistics. In: Proceedings of the - international conference on image processing. ICIP, pp 1205\u20131208","DOI":"10.1109\/ICIP.2010.5651791"},{"key":"6900_CR66","doi-asserted-by":"publisher","first-page":"105570","DOI":"10.1016\/j.asoc.2019.105570","volume":"82","author":"AK Bhandari","year":"2019","unstructured":"Bhandari AK, Kumar IV (2019) A context sensitive energy thresholding based 3D Otsu function for image segmentation using human learning optimization. Appl Soft Comput J 82:105570","journal-title":"Appl Soft Comput J"},{"key":"6900_CR67","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"},{"key":"6900_CR68","doi-asserted-by":"crossref","unstructured":"Xydeas CS, Petrovic VS (2004) Gradient-based multiresolution image fusion, 13(2):228\u2013237","DOI":"10.1109\/TIP.2004.823821"},{"key":"6900_CR69","doi-asserted-by":"crossref","unstructured":"Petrovi VS, Xydeas CS (2003) Sensor noise effects on signal-level image fusion performance, vol 4, pp 167\u2013183","DOI":"10.1016\/S1566-2535(03)00035-6"},{"key":"6900_CR70","doi-asserted-by":"publisher","DOI":"10.1137\/1.9780898718003","volume-title":"Iterative methods for sparse linear systems","author":"Y Saad","year":"2003","unstructured":"Saad Y (2003) Iterative methods for sparse linear systems, 2nd edn. SIAM, Philadelphia","edition":"2"},{"issue":"1","key":"6900_CR71","doi-asserted-by":"publisher","first-page":"16","DOI":"10.1111\/j.1467-8659.2012.03227.x","volume":"32","author":"D Weber","year":"2003","unstructured":"Weber D, Bender J, Schnoes M, Stork A, Fellner D (2003) Efficient GPU data structures and methods to solve sparse linear systems. Comput Graphics Forum 32(1):16\u201326","journal-title":"Comput Graphics Forum"}],"container-title":["Neural Computing and Applications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00521-022-06900-7.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s00521-022-06900-7\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00521-022-06900-7.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,9,16]],"date-time":"2024-09-16T19:05:44Z","timestamp":1726513544000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s00521-022-06900-7"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,1,22]]},"references-count":71,"journal-issue":{"issue":"10","published-print":{"date-parts":[[2022,5]]}},"alternative-id":["6900"],"URL":"https:\/\/doi.org\/10.1007\/s00521-022-06900-7","relation":{},"ISSN":["0941-0643","1433-3058"],"issn-type":[{"type":"print","value":"0941-0643"},{"type":"electronic","value":"1433-3058"}],"subject":[],"published":{"date-parts":[[2022,1,22]]},"assertion":[{"value":"8 May 2020","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"4 January 2022","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"22 January 2022","order":3,"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 interests regarding the publication of this manuscript.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}}]}}