{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,13]],"date-time":"2026-01-13T13:59:02Z","timestamp":1768312742172,"version":"3.49.0"},"reference-count":46,"publisher":"Springer Science and Business Media LLC","issue":"12","license":[{"start":{"date-parts":[[2022,3,2]],"date-time":"2022-03-02T00:00:00Z","timestamp":1646179200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2022,3,2]],"date-time":"2022-03-02T00:00:00Z","timestamp":1646179200000},"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":["Multimed Tools Appl"],"published-print":{"date-parts":[[2022,5]]},"DOI":"10.1007\/s11042-022-12563-2","type":"journal-article","created":{"date-parts":[[2022,3,2]],"date-time":"2022-03-02T14:02:40Z","timestamp":1646229760000},"page":"16309-16334","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":5,"title":["Peach surface defect identification of complex background based on IDCNN and GWOABC-KM"],"prefix":"10.1007","volume":"81","author":[{"given":"Mingxuan","family":"Li","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2772-977X","authenticated-orcid":false,"given":"Guoxiong","family":"Zhou","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Chao","family":"Lu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2022,3,2]]},"reference":[{"key":"12563_CR1","unstructured":"Ahn B, Cho NI (n.d.) Block-matching convolutional neural network for image denoising[EB\/OL].2017-04-03"},{"issue":"2","key":"12563_CR2","doi-asserted-by":"publisher","first-page":"415","DOI":"10.1007\/s10898-012-9993-1","volume":"57","author":"B Akay","year":"2013","unstructured":"Akay B (2013) Synchronous and asynchronous Pareto-based multi-objective artificial bee colony algorithms[J]. J Glob Optim 57(2):415\u2013445","journal-title":"J Glob Optim"},{"issue":"2","key":"12563_CR3","doi-asserted-by":"publisher","first-page":"1045","DOI":"10.1109\/TIT.2014.2375327","volume":"61","author":"C Boutsidis","year":"2015","unstructured":"Boutsidis C, Zouzias A, Mahoney MW et al (2015) Randomized dimensionality reduction for k-means clustering [J]. IEEE Trans Inform Theory 61(2):1045\u20131062","journal-title":"IEEE Trans Inform Theory"},{"key":"12563_CR4","doi-asserted-by":"publisher","unstructured":"Buades A, Coll B, Morel J (2005) M.A non-local algorithm for image denoising[C]\/\/Proceedings of 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition. San Diego, CA, USA: IEEE, 60-65. https:\/\/doi.org\/10.1109\/CVPR.2005.38","DOI":"10.1109\/CVPR.2005.38"},{"issue":"2\u20133","key":"12563_CR5","doi-asserted-by":"publisher","first-page":"173","DOI":"10.1016\/S0168-1699(02)00100-X","volume":"36","author":"YR Chen","year":"2002","unstructured":"Chen YR, Chao KL, Kim MS (2002) Machine vision technology for agricultural applications [J]. Comput Electron Agric 36(2\u20133):173\u2013191","journal-title":"Comput Electron Agric"},{"issue":"8","key":"12563_CR6","doi-asserted-by":"publisher","first-page":"1216","DOI":"10.1109\/LSP.2018.2850222","volume":"25","author":"C Cruz","year":"2018","unstructured":"Cruz C, Foi A, Katkovnik V et al (2018) Nonlocality-reinforced convolutional neural networks for image denoising[J]. IEEE Signal Process Lett 25(8):1216\u20131220","journal-title":"IEEE Signal Process Lett"},{"issue":"4","key":"12563_CR7","doi-asserted-by":"publisher","first-page":"487","DOI":"10.1007\/s11947-010-0411-8","volume":"4","author":"S Cuber","year":"2011","unstructured":"Cuber S, Aleixos N, Molt\u00f3 E et al (2011) Advances in machine vision applications for automatic inspection and quality evaluation of fruits and vegetables[J]. Food Bioprocess Technol 4(4):487\u2013504","journal-title":"Food Bioprocess Technol"},{"issue":"3","key":"12563_CR8","doi-asserted-by":"publisher","first-page":"1249","DOI":"10.1007\/s11227-014-1225-7","volume":"70","author":"X Cui","year":"2014","unstructured":"Cui X, Zhu P, Yang X et al (2014) Optimized big data K-means clustering using MapReduce[J]. J Supercomput 70(3):1249\u20131259","journal-title":"J Supercomput"},{"issue":"8","key":"12563_CR9","doi-asserted-by":"publisher","first-page":"2080","DOI":"10.1109\/TIP.2007.901238","volume":"16","author":"K Dabov","year":"2007","unstructured":"Dabov K, Foi A, Katkovnik V et al (2007) Image denoising by sparse3-D transform-domain collaborative filtering[J]. IEEE Trans Image Process 16(8):2080\u20132095","journal-title":"IEEE Trans Image Process"},{"issue":"4","key":"12563_CR10","first-page":"73","volume":"7","author":"B Feng","year":"2002","unstructured":"Feng B, Wang MH (2002) Study on identifying measurement about default of fruit in computer vision [J]. J China Agric Univ 7(4):73\u201376 (in Chinese)","journal-title":"J China Agric Univ"},{"issue":"4","key":"12563_CR11","first-page":"117","volume":"20","author":"F Fu","year":"2004","unstructured":"Fu F, Ying YB (2004) Gray level transform model of ball image and its application in citrus image correction [J]. Trans Chin Soc Agric Eng 20(4):117\u2013120 (in Chinese)","journal-title":"Trans Chin Soc Agric Eng"},{"key":"12563_CR12","first-page":"769","volume":"21","author":"V Jain","year":"2008","unstructured":"Jain V, Seung S (2008) Natural image denoising with convolutional networks [J]. Adv Neural Inf Proces Syst 21:769\u2013776","journal-title":"Adv Neural Inf Proces Syst"},{"issue":"1","key":"12563_CR13","doi-asserted-by":"publisher","first-page":"652","DOI":"10.1016\/j.asoc.2009.12.025","volume":"11","author":"D Karaboga","year":"2011","unstructured":"Karaboga D, Ozturk C (2011) A novel clustering approach: Artificial bee colony (ABC) algorithm [J]. Appl Soft Comput 11(1):652\u2013657","journal-title":"Appl Soft Comput"},{"key":"12563_CR14","doi-asserted-by":"crossref","unstructured":"Kishor A, Singh PK (2016) Empirical study of grey wolf optimizer [C]\/\/ Proc of the 5th International Conference on Soft Computing for Problem Solving. Singapore: Springer, 1037\u20131049","DOI":"10.1007\/978-981-10-0448-3_87"},{"issue":"2","key":"12563_CR15","first-page":"78","volume":"32","author":"C Li","year":"2018","unstructured":"Li C, Lu M (2018) Research on fruit classification method based on edge detection technology [J]. J Changshu Inst Technol (Natural Sciences) 32(2):78\u201382","journal-title":"J Changshu Inst Technol (Natural Sciences)"},{"issue":"8","key":"12563_CR16","doi-asserted-by":"publisher","first-page":"159","DOI":"10.1016\/S1671-2927(09)60302-3","volume":"42","author":"JB Li","year":"2011","unstructured":"Li JB, Rao XQ, Ying YB (2011) Correction algorithm of illumination nonuniformity on fruit surface and defects extraction using single threshold value [J]. Trans Chin Soc Agric Machinery 42(8):159\u2013163 (in Chinese)","journal-title":"Trans Chin Soc Agric Machinery"},{"issue":"4","key":"12563_CR17","doi-asserted-by":"publisher","first-page":"59","DOI":"10.1016\/j.postharvbio.2013.02.016","volume":"82","author":"J Li","year":"2013","unstructured":"Li J, Rao X, Wang F, Wu W, Ying Y (2013) Automatic detection of common surface defects on oranges using combined lighting transform and image ratio methods [J]. Postharvest Biol Technol 82(4):59\u201369","journal-title":"Postharvest Biol Technol"},{"issue":"08","key":"12563_CR18","first-page":"288","volume":"45","author":"J Li","year":"2014","unstructured":"Li J, Peng Y, Huang W et al (2014) Study on segmentation method of peach surface defect watershed [J]. J Agric Machinery 45(08):288\u2013293","journal-title":"J Agric Machinery"},{"issue":"1","key":"12563_CR19","first-page":"31","volume":"21","author":"L Li","year":"2016","unstructured":"Li L, Dong Y, Kong Y et al (2016) Parallelization study of improved K-means algorithm on MapReduce programming model[J]. J Harbin Univ Sci Technol 21(1):31\u201335 (in Chinese)","journal-title":"J Harbin Univ Sci Technol"},{"key":"12563_CR20","doi-asserted-by":"crossref","unstructured":"Lin Q, Jing W, Yanlei C et al (2015) Research on the image segmentation of icing line based on NSCT and2-D OSTU[C]\/\/International Conference on Modelling, Identification and Control, 1-5","DOI":"10.1109\/ICMIC.2015.7409354"},{"issue":"2","key":"12563_CR21","doi-asserted-by":"publisher","first-page":"189","DOI":"10.1016\/j.compag.2010.02.001","volume":"71","author":"F L\u00f3pez-Garc\u00eda","year":"2010","unstructured":"L\u00f3pez-Garc\u00eda F, Andreu-Garc\u00eda G, Blasco J, Aleixos N, Valiente JM (2010) Automatic detection of skin defects in citrus fruits using a multivariate image analysis approach [J]. Comput Electron Agric 71(2):189\u2013197","journal-title":"Comput Electron Agric"},{"issue":"1","key":"12563_CR22","doi-asserted-by":"publisher","first-page":"189","DOI":"10.14257\/ijgdc.2015.8.1.18","volume":"8","author":"L Ma","year":"2015","unstructured":"Ma L, Gu L, Li B et al (2015) An improved K-means algorithm based on mapreduce and grid[J]. Int J Grid Distrib Comput 8(1):189\u2013200","journal-title":"Int J Grid Distrib Comput"},{"key":"12563_CR23","first-page":"1","volume":"1","author":"C Na","year":"2014","unstructured":"Na C, Zeshui X, Meimei X (2014) Hierarchical hesitant fuzzy K-means clustering algorithm[J]. Appl Math: J Chin Univ (Series B) 1:1\u201317","journal-title":"Appl Math: J Chin Univ (Series B)"},{"issue":"1","key":"12563_CR24","doi-asserted-by":"publisher","first-page":"36","DOI":"10.1007\/s11947-012-0867-9","volume":"6","author":"PB Pathare","year":"2013","unstructured":"Pathare PB, Opara UL, Al-Said FA-J (2013) Colour measurement and analysis in fresh and processed foods: a review. Food Bioprocess Technol 6(1):36\u201360","journal-title":"Food Bioprocess Technol"},{"key":"12563_CR25","doi-asserted-by":"publisher","first-page":"144","DOI":"10.1016\/j.compag.2012.02.014","volume":"84","author":"I Pertot","year":"2012","unstructured":"Pertot I, Kuflik T, Gordon I et al (2012) Identificator: A web-based tool for visual plant disease identification, a proof of concept with a case study on strawberry [J]. Comput Electron Agric 84:144\u2013154","journal-title":"Comput Electron Agric"},{"issue":"11","key":"12563_CR26","doi-asserted-by":"publisher","first-page":"5707","DOI":"10.1109\/TIP.2018.2859044","volume":"27","author":"T Remez","year":"2018","unstructured":"Remez T, Litany O, Giryes R et al (2018) Class-aware fully convolutional Gaussian and Poisson denoising[J]. IEEE Trans Image Process 27(11):5707\u20135722","journal-title":"IEEE Trans Image Process"},{"key":"12563_CR27","doi-asserted-by":"publisher","first-page":"527","DOI":"10.1016\/j.asoc.2016.01.040","volume":"46","author":"JP Sarkar","year":"2016","unstructured":"Sarkar JP, Saha I, Maulik U (2016) Rough possibilistic type-2 fuzzy C-means clustering for MR brain image segmen- tation [J]. Appl Soft Comput 46:527\u2013536","journal-title":"Appl Soft Comput"},{"issue":"C","key":"12563_CR28","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1016\/j.is.2016.02.007","volume":"60","author":"S Shahrivari","year":"2016","unstructured":"Shahrivari S, Jalili S (2016) Single-pass and linear-time kmeans clustering based on MapReduce[J]. Inf Syst 60(C):1\u201312","journal-title":"Inf Syst"},{"issue":"4","key":"12563_CR29","doi-asserted-by":"publisher","first-page":"640","DOI":"10.1109\/TPAMI.2016.2572683","volume":"39","author":"E Shelhamer","year":"2017","unstructured":"Shelhamer E, Long J, Darrell T (2017) Fully convolutional networks for semantic segmentation[J]. IEEE Trans Pattern Anal Mach Intell 39(4):640\u2013651","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"issue":"1","key":"12563_CR30","doi-asserted-by":"publisher","first-page":"45","DOI":"10.1023\/A:1007963824710","volume":"23","author":"SM Smith","year":"1997","unstructured":"Smith SM, Brady J (1997) M.SUSAN---a new approach to low level image processing[J]. Int J Comput Vis 23(1):45\u201378","journal-title":"Int J Comput Vis"},{"issue":"3","key":"12563_CR31","first-page":"346","volume":"24","author":"C Tang","year":"2019","unstructured":"Tang C, Xu JL, Zhou ZG (2019) Strong noise image-denoising algorithm based on improved curvature filters[J]. J Image Graph 24(3):346\u2013356","journal-title":"J Image Graph"},{"issue":"1","key":"12563_CR32","doi-asserted-by":"publisher","first-page":"241","DOI":"10.13031\/2013.13201","volume":"42","author":"Y Tao","year":"1999","unstructured":"Tao Y, Wen Z (1999) An adaptive spherical image transform for high-speed fruit defect detection [J]. Trans ASAE 42(1):241\u2013246","journal-title":"Trans ASAE"},{"key":"12563_CR33","unstructured":"Tomasi C, Manduchi R (1998) Bilateral filtering for gray and color images[C]\/\/Proceedings of the 6th International Conference on Computer Vision. Bombay, India:IEEE, 839-846"},{"key":"12563_CR34","doi-asserted-by":"publisher","first-page":"272","DOI":"10.1016\/j.compag.2018.03.032","volume":"161","author":"EC Too","year":"2019","unstructured":"Too EC, Yujian L, Njuki S et al (2019) A comparative study of fine-tuning deep learning models for plant disease identification [J]. Comput Electron Agric 161:272\u2013279","journal-title":"Comput Electron Agric"},{"issue":"2","key":"12563_CR35","first-page":"1","volume":"43","author":"N Tsapanos","year":"2016","unstructured":"Tsapanos N, Tefas A, Nikolaidis N et al (2016) Efficient MapReduce kernel k-Means for big data clustering[J]. Automatica 43(2):1\u20135","journal-title":"Automatica"},{"issue":"1","key":"12563_CR36","doi-asserted-by":"publisher","first-page":"129","DOI":"10.1016\/j.compag.2009.09.014","volume":"70","author":"Z Xiao-bo","year":"2010","unstructured":"Xiao-bo Z, Jie-wen Z, Yanxiao L et al (2010) In-line detection of apple defects using three color cameras system. Comput Electron Agric 70(1):129\u2013134","journal-title":"Comput Electron Agric"},{"issue":"4","key":"12563_CR37","first-page":"422","volume":"22","author":"SP Xu","year":"2017","unstructured":"Xu SP, Zhang XQ, Jiang YN et al (2017) Noise level estimation based on local means and its application to the blind BM3D denoising algorithm[J]. J Image Graph 22(4):422\u2013434","journal-title":"J Image Graph"},{"key":"12563_CR38","doi-asserted-by":"publisher","first-page":"241","DOI":"10.1016\/j.neucom.2012.04.025","volume":"97","author":"X Yan","year":"2012","unstructured":"Yan X, Zhu Y, Zou W et al (2012) A new approach for data clustering using hybrid artificial bee colony algorithm [J]. Neurocomputing 97:241\u2013250","journal-title":"Neurocomputing"},{"key":"12563_CR39","unstructured":"Yu F, Koltun V (2015) Multi-scale context aggregation by dilated convolutions. arXiv preprint arXiv:1511.07122"},{"issue":"9","key":"12563_CR40","first-page":"177","volume":"44","author":"HL Zhang","year":"2013","unstructured":"Zhang HL, Gao JF, He Y (2013) Nondestructive detection of citrus defection using hyper-spectra imaging technology [J]. Trans Chin Soc Agric Machinery 44(9):177\u2013181 (in Chinese)","journal-title":"Trans Chin Soc Agric Machinery"},{"issue":"10","key":"12563_CR41","first-page":"2743","volume":"34","author":"BH Zhang","year":"2014","unstructured":"Zhang BH, Li JB, Fan SX, Huang WQ, Zhang C, Wang QY, Xiao GD (2014) Principles and application of hyperspectral imaging technique in quality and safety inspection of fruits and vegetables [J]. Spectrosc Spectr Anal 34(10):2743\u20132751 (in Chinese)","journal-title":"Spectrosc Spectr Anal"},{"key":"12563_CR42","doi-asserted-by":"publisher","first-page":"2075","DOI":"10.1007\/s12161-015-0097-7","volume":"8","author":"B Zhang","year":"2015","unstructured":"Zhang B, Fan S, Li J et al (2015) Detection of early rottenness on apples by using hyperspectral imaging combined with spectral analysis and image processing. Food Anal Methods 8:2075\u20132086","journal-title":"Food Anal Methods"},{"key":"12563_CR43","doi-asserted-by":"publisher","first-page":"14","DOI":"10.1016\/j.compag.2015.03.015","volume":"114","author":"B Zhang","year":"2015","unstructured":"Zhang B, Li J, Fan S, Huang W et al (2015) Hyperspectral imaging combined with multivariate analysis and band math for detection of common defects on peaches (Prunus persica)[J]. Comput Electron Agric 114:14\u201324","journal-title":"Comput Electron Agric"},{"issue":"7","key":"12563_CR44","doi-asserted-by":"publisher","first-page":"3142","DOI":"10.1109\/TIP.2017.2662206","volume":"26","author":"K Zhang","year":"2017","unstructured":"Zhang K, Zuo WM, Chen YJ et al (2017) Beyond a Gaussian denoiser:residual learning of deep CNN for image denoising[J]. IEEE Trans Image Process 26(7):3142\u20133155","journal-title":"IEEE Trans Image Process"},{"issue":"3","key":"12563_CR45","doi-asserted-by":"publisher","first-page":"1355","DOI":"10.1109\/TIP.2016.2621670","volume":"26","author":"C Zhang","year":"2017","unstructured":"Zhang C, Xie Y, Liu D et al (2017) Fast threshold image segmentation based on 2D fuzzy fisher and random local optimized QPSO[J]. IEEE Trans Image Process 26(3):1355\u20131362","journal-title":"IEEE Trans Image Process"},{"issue":"7","key":"12563_CR46","doi-asserted-by":"publisher","first-page":"3142","DOI":"10.1109\/TIP.2017.2662206","volume":"26","author":"K Zhang","year":"2017","unstructured":"Zhang K, Zuo W, Chen Y et al (2017) Beyond a gaussian denoiser: Residual learning of deep cnn for image denoising [J]. IEEE Trans Image Process 26(7):3142\u20133155","journal-title":"IEEE Trans Image Process"}],"container-title":["Multimedia Tools and Applications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11042-022-12563-2.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s11042-022-12563-2\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11042-022-12563-2.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,5,4]],"date-time":"2022-05-04T10:15:11Z","timestamp":1651659311000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s11042-022-12563-2"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,3,2]]},"references-count":46,"journal-issue":{"issue":"12","published-print":{"date-parts":[[2022,5]]}},"alternative-id":["12563"],"URL":"https:\/\/doi.org\/10.1007\/s11042-022-12563-2","relation":{},"ISSN":["1380-7501","1573-7721"],"issn-type":[{"value":"1380-7501","type":"print"},{"value":"1573-7721","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,3,2]]},"assertion":[{"value":"8 December 2020","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"5 March 2021","order":2,"name":"revised","label":"Revised","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"31 January 2022","order":3,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"2 March 2022","order":4,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}]}}