{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,9,19]],"date-time":"2025-09-19T09:34:43Z","timestamp":1758274483687},"reference-count":45,"publisher":"Springer Science and Business Media LLC","issue":"13","license":[{"start":{"date-parts":[[2022,3,7]],"date-time":"2022-03-07T00:00:00Z","timestamp":1646611200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2022,3,7]],"date-time":"2022-03-07T00:00:00Z","timestamp":1646611200000},"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\/s11042-022-12186-7","type":"journal-article","created":{"date-parts":[[2022,3,7]],"date-time":"2022-03-07T13:03:16Z","timestamp":1646658196000},"page":"17639-17667","update-policy":"http:\/\/dx.doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["A novel pixel range calculation technique for texture classification"],"prefix":"10.1007","volume":"81","author":[{"given":"Abadhan","family":"Ranganath","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Manas Ranjan","family":"Senapati","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Pradip Kumar","family":"Sahu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2022,3,7]]},"reference":[{"key":"12186_CR1","doi-asserted-by":"publisher","first-page":"3552","DOI":"10.1103\/PhysRevA.44.3552","volume":"44","author":"C Allain","year":"1991","unstructured":"Allain C, Cloitre M (1991) Characterizing the lacunarity of random and deterministic fractal sets. Phys Rev A 44:3552\u20133558. https:\/\/doi.org\/10.1103\/PhysRevA.44.3552","journal-title":"Phys Rev A"},{"key":"12186_CR2","unstructured":"ALOT texture dataset (n.d.): https:\/\/aloi.science.uva.nl\/public_alot\/"},{"key":"12186_CR3","doi-asserted-by":"crossref","unstructured":"Anantrasirichai N, Achim A, Morgan JE, Erchova I, Nicholson L (2013) SVM-based texture classification in Optical Coherence Tomography. In: 2013 IEEE 10th International Symposium on Biomedical Imaging. IEEE. pp. 1332\u20131335","DOI":"10.1109\/ISBI.2013.6556778"},{"key":"12186_CR4","unstructured":"Brodatz texture dataset (n.d.): SIPI Image Database - Textures (usc.edu).\u00a0https:\/\/sipi.usc.edu\/database\/database.php?volume=textures"},{"key":"12186_CR5","doi-asserted-by":"publisher","first-page":"34","DOI":"10.1016\/j.patcog.2019.02.003","volume":"91","author":"X Bu","year":"2019","unstructured":"Bu X, Wu Y, Gao Z, Jia Y (2019) Deep convolutional network with locality and sparsity constraints for texture classification. Pattern Recogn 91:34\u201346. https:\/\/doi.org\/10.1016\/j.patcog.2019.02.003","journal-title":"Pattern Recogn"},{"key":"12186_CR6","doi-asserted-by":"publisher","first-page":"133","DOI":"10.1016\/j.eij.2018.01.003","volume":"19","author":"S Dash","year":"2018","unstructured":"Dash S, Senapati MR, Jena UR (2018) K-NN based automated reasoning using bilateral filter based texture descriptor for computing texture classification. Egypt Informatics J 19:133\u2013144. https:\/\/doi.org\/10.1016\/j.eij.2018.01.003","journal-title":"Egypt Informatics J"},{"key":"12186_CR7","doi-asserted-by":"publisher","first-page":"267","DOI":"10.1016\/0734-189X(88)90102-8","volume":"41","author":"G Eichmann","year":"1988","unstructured":"Eichmann G, Kasparis T (1988) Topologically invariant texture descriptors. Comput Vision Graph Image Process 41:267\u2013281. https:\/\/doi.org\/10.1016\/0734-189X(88)90102-8","journal-title":"Comput Vision Graph Image Process"},{"key":"12186_CR8","doi-asserted-by":"publisher","first-page":"119","DOI":"10.1016\/0043-1648(86)90257-7","volume":"109","author":"JJ Gagnepain","year":"1986","unstructured":"Gagnepain JJ, Roques-Carmes C (1986) Fractal approach to two-dimensional and three-dimensional surface roughness. Wear 109:119\u2013126. https:\/\/doi.org\/10.1016\/0043-1648(86)90257-7","journal-title":"Wear"},{"key":"12186_CR9","doi-asserted-by":"publisher","first-page":"32195","DOI":"10.1007\/s11042-020-09676-x","volume":"79","author":"Y Gupta","year":"2020","unstructured":"Gupta Y, Lama RK, Lee S-W, Kwon G-R (2020) An MRI brain disease classification system using PDFB-CT and GLCM with kernel-SVM for medical decision support. Multimed Tools Appl 79:32195\u201332224. https:\/\/doi.org\/10.1007\/s11042-020-09676-x","journal-title":"Multimed Tools Appl"},{"key":"12186_CR10","doi-asserted-by":"publisher","first-page":"1312","DOI":"10.1080\/01431161.2016.1278314","volume":"38","author":"M Hall-Beyer","year":"2017","unstructured":"Hall-Beyer M (2017) Practical guidelines for choosing GLCM textures to use in landscape classification tasks over a range of moderate spatial scales. Int J Remote Sens 38:1312\u20131338. https:\/\/doi.org\/10.1080\/01431161.2016.1278314","journal-title":"Int J Remote Sens"},{"key":"12186_CR11","doi-asserted-by":"publisher","first-page":"1631","DOI":"10.1109\/TPAMI.2003.1251157","volume":"25","author":"K In Kim","year":"2003","unstructured":"In Kim K, Jung K, Kim JH (2003) Texture-based approach for text detection in images using support vector machines and continuously adaptive mean shift algorithm. IEEE Trans Pattern Anal Mach Intell 25:1631\u20131639. https:\/\/doi.org\/10.1109\/TPAMI.2003.1251157","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"key":"12186_CR12","doi-asserted-by":"publisher","first-page":"286","DOI":"10.1109\/TIP.2012.2214040","volume":"22","author":"H Ji","year":"2013","unstructured":"Ji H, Yang X, Ling H, Xu Y, Ji H, Yang X, Ling H, Xu Y (2013) Wavelet Domain Multifractal Analysis for Static and Dynamic Texture Classification. IEEE Trans Image Process 22:286\u2013299. https:\/\/doi.org\/10.1109\/TIP.2012.2214040","journal-title":"IEEE Trans Image Process"},{"key":"12186_CR13","doi-asserted-by":"publisher","first-page":"7140","DOI":"10.1109\/TGRS.2017.2743102","volume":"55","author":"X Kang","year":"2017","unstructured":"Kang X, Xiang X, Li S, Benediktsson JA (2017) PCA-based edge-preserving features for hyperspectral image classification. IEEE Trans Geosci Remote Sens 55:7140\u20137151. https:\/\/doi.org\/10.1109\/TGRS.2017.2743102","journal-title":"IEEE Trans Geosci Remote Sens"},{"key":"12186_CR14","doi-asserted-by":"publisher","first-page":"150","DOI":"10.1016\/0734-189X(89)90130-8","volume":"45","author":"JM Keller","year":"1989","unstructured":"Keller JM, Chen S, Crownover RM (1989) Texture description and segmentation through fractal geometry. Comput Vision Graph Image Process 45:150\u2013166. https:\/\/doi.org\/10.1016\/0734-189X(89)90130-8","journal-title":"Comput Vision Graph Image Process"},{"key":"12186_CR15","doi-asserted-by":"publisher","first-page":"575","DOI":"10.1007\/s00371-017-1362-0","volume":"34","author":"A Khmag","year":"2018","unstructured":"Khmag A, Ramli AR, Al-haddad SAR, Kamarudin N (2018) Natural image noise level estimation based on local statistics for blind noise reduction. Vis Comput 34:575\u2013587. https:\/\/doi.org\/10.1007\/s00371-017-1362-0","journal-title":"Vis Comput"},{"key":"12186_CR16","doi-asserted-by":"publisher","first-page":"1207","DOI":"10.1016\/j.patcog.2006.09.012","volume":"40","author":"SC Kim","year":"2007","unstructured":"Kim SC, Kang TJ (2007) Texture classification and segmentation using wavelet packet frame and Gaussian mixture model. Pattern Recogn 40:1207\u20131221. https:\/\/doi.org\/10.1016\/j.patcog.2006.09.012","journal-title":"Pattern Recogn"},{"key":"12186_CR17","doi-asserted-by":"publisher","first-page":"406","DOI":"10.1002\/esp.3290080415","volume":"8","author":"MJ Kirkby","year":"1983","unstructured":"Kirkby MJ (1983) The fractal geometry of nature. Benoit B. Mandelbrot. W. H. Freeman and co., San Francisco, 1982. No. of pages: 460. Price: \u00a322.75 (hardback). Earth Surf Process Landf 8:406\u2013406. https:\/\/doi.org\/10.1002\/esp.3290080415","journal-title":"Earth Surf Process Landf"},{"key":"12186_CR18","unstructured":"KTH-TIPS texture dataset (n.d.).\u00a0https:\/\/www.csc.kth.se\/cvap\/databases\/kth-tips\/download.html"},{"key":"12186_CR19","doi-asserted-by":"publisher","first-page":"1186","DOI":"10.1109\/34.244679","volume":"15","author":"A Laine","year":"1993","unstructured":"Laine A, Fan J (1993) Texture classification by wavelet packet signatures. IEEE Trans Pattern Anal Mach Intell 15:1186\u20131191. https:\/\/doi.org\/10.1109\/34.244679","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"key":"12186_CR20","doi-asserted-by":"publisher","first-page":"1107","DOI":"10.1109\/TIP.2009.2015682","volume":"18","author":"S Liao","year":"2009","unstructured":"Liao S, Law MWK, Chung ACS (2009) Dominant local binary patterns for texture classification. IEEE Trans Image Process 18:1107\u20131118. https:\/\/doi.org\/10.1109\/TIP.2009.2015682","journal-title":"IEEE Trans Image Process"},{"key":"12186_CR21","doi-asserted-by":"publisher","first-page":"661","DOI":"10.1109\/TIP.2003.812327","volume":"12","author":"X Liu","year":"2003","unstructured":"Liu X, Wang DL (2003) Texture classification using spectral histograms. IEEE Trans Image Process 12:661\u2013670. https:\/\/doi.org\/10.1109\/TIP.2003.812327","journal-title":"IEEE Trans Image Process"},{"key":"12186_CR22","doi-asserted-by":"publisher","first-page":"135","DOI":"10.1016\/j.patcog.2016.08.032","volume":"62","author":"L Liu","year":"2017","unstructured":"Liu L, Fieguth P, Guo Y, Wang X, Pietik\u00e4inen M (2017) Local binary features for texture classification: taxonomy and experimental study. Pattern Recogn 62:135\u2013160. https:\/\/doi.org\/10.1016\/j.patcog.2016.08.032","journal-title":"Pattern Recogn"},{"key":"12186_CR23","doi-asserted-by":"publisher","first-page":"769","DOI":"10.1007\/s00371-017-1380-y","volume":"33","author":"C Liu","year":"2017","unstructured":"Liu C, Shao H, Wu M, Zhou Y, Shao Y, Wang X (2017) Multi-scale inherent variation features-based texture filtering. Vis Comput 33:769\u2013778. https:\/\/doi.org\/10.1007\/s00371-017-1380-y","journal-title":"Vis Comput"},{"key":"12186_CR24","doi-asserted-by":"publisher","first-page":"74","DOI":"10.1007\/s11263-018-1125-z","volume":"127","author":"L Liu","year":"2019","unstructured":"Liu L, Chen J, Fieguth P, Zhao G, Chellappa R, Pietik\u00e4inen M (2019) From BoW to CNN: two decades of texture representation for texture classification. Int J Comput Vis 127:74\u2013109. https:\/\/doi.org\/10.1007\/s11263-018-1125-z","journal-title":"Int J Comput Vis"},{"key":"12186_CR25","doi-asserted-by":"publisher","first-page":"3910","DOI":"10.1109\/TIP.2019.2903300","volume":"28","author":"L Liu","year":"2019","unstructured":"Liu L, Chen J, Zhao G, Fieguth P, Chen X, Pietikainen M (2019) Texture classification in extreme scale variations using GANet. IEEE Trans Image Process 28:3910\u20133922. https:\/\/doi.org\/10.1109\/TIP.2019.2903300","journal-title":"IEEE Trans Image Process"},{"key":"12186_CR26","doi-asserted-by":"publisher","first-page":"51","DOI":"10.1016\/0031-3203(95)00067-4","volume":"29","author":"T Ojala","year":"1996","unstructured":"Ojala T, Pietik\u00e4inen M, Harwood D (1996) A comparative study of texture measures with classification based on feature distributions. Pattern Recogn 29:51\u201359. https:\/\/doi.org\/10.1016\/0031-3203(95)00067-4","journal-title":"Pattern Recogn"},{"key":"12186_CR27","doi-asserted-by":"crossref","unstructured":"Ojala T, Pietik\u00e4inen M, M\u00e4enp\u00e4\u00e4 T (2000) Gray scale and rotation invariant texture classification with local binary patterns. In: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Springer Verlag. pp. 404\u2013420","DOI":"10.1007\/3-540-45054-8_27"},{"key":"12186_CR28","doi-asserted-by":"publisher","first-page":"971","DOI":"10.1109\/TPAMI.2002.1017623","volume":"24","author":"T Ojala","year":"2002","unstructured":"Ojala T, Pietikainen M, Maenpaa T (2002) Multiresolution gray-scale and rotation invariant texture classification with local binary patterns. IEEE Trans Pattern Anal Mach Intell 24:971\u2013987. https:\/\/doi.org\/10.1109\/TPAMI.2002.1017623","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"key":"12186_CR29","doi-asserted-by":"publisher","first-page":"2502","DOI":"10.1016\/j.patcog.2011.03.029","volume":"44","author":"X Qian","year":"2011","unstructured":"Qian X, Hua X-S, Chen P, Ke L (2011) PLBP: an effective local binary patterns texture descriptor with pyramid representation. Pattern Recogn 44:2502\u20132515. https:\/\/doi.org\/10.1016\/j.patcog.2011.03.029","journal-title":"Pattern Recogn"},{"key":"12186_CR30","doi-asserted-by":"publisher","first-page":"250","DOI":"10.1016\/j.imavis.2014.02.004","volume":"32","author":"Y Quan","year":"2014","unstructured":"Quan Y, Xu Y, Sun Y (2014) A distinct and compact texture descriptor. Image Vis Comput 32:250\u2013259. https:\/\/doi.org\/10.1016\/j.imavis.2014.02.004","journal-title":"Image Vis Comput"},{"key":"12186_CR31","doi-asserted-by":"crossref","unstructured":"Quan Y, Xu Y, Sun Y, Luo Y (2014) Lacunarity analysis on image patterns for texture classification. In: Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition. IEEE Computer Society. pp. 160\u2013167","DOI":"10.1109\/CVPR.2014.28"},{"key":"12186_CR32","doi-asserted-by":"publisher","first-page":"85","DOI":"10.1016\/j.cviu.2017.10.008","volume":"165","author":"Y Quan","year":"2017","unstructured":"Quan Y, Sun Y, Xu Y (2017) Spatiotemporal lacunarity spectrum for dynamic texture classification. Comput Vis Image Underst 165:85\u201396. https:\/\/doi.org\/10.1016\/j.cviu.2017.10.008","journal-title":"Comput Vis Image Underst"},{"key":"12186_CR33","doi-asserted-by":"publisher","first-page":"18419","DOI":"10.1007\/s11042-018-7145-4","volume":"78","author":"P Raju","year":"2019","unstructured":"Raju P, Rao VM, Rao BP (2019) Optimal GLCM combined FCM segmentation algorithm for detection of kidney cysts and tumor. Multimed Tools Appl 78:18419\u201318441. https:\/\/doi.org\/10.1007\/s11042-018-7145-4","journal-title":"Multimed Tools Appl"},{"key":"12186_CR34","doi-asserted-by":"crossref","unstructured":"Ranganath A, Mishra J (2017) New Approach for Estimating Fractal Dimension of Both Gary and Color Images. In: 2017 IEEE 7th International Advance Computing Conference (IACC). IEEE. pp. 678\u2013683","DOI":"10.1109\/IACC.2017.0142"},{"key":"12186_CR35","doi-asserted-by":"publisher","first-page":"635","DOI":"10.1007\/s00371-020-01829-1","volume":"37","author":"A Ranganath","year":"2020","unstructured":"Ranganath A, Senapati MR, Sahu PK (2020) Estimating the fractal dimension of images using pixel range calculation technique. Vis Comput 37:635\u2013650. https:\/\/doi.org\/10.1007\/s00371-020-01829-1","journal-title":"Vis Comput"},{"key":"12186_CR36","doi-asserted-by":"publisher","first-page":"115","DOI":"10.1109\/21.259692","volume":"24","author":"N Sarkar","year":"1994","unstructured":"Sarkar N, Chaudhuri BB (1994) An efficient differential box-counting approach to compute fractal dimension of image. IEEE Trans Syst Man Cybern 24:115\u2013120. https:\/\/doi.org\/10.1109\/21.259692","journal-title":"IEEE Trans Syst Man Cybern"},{"key":"12186_CR37","unstructured":"UIUC texture dataset (n.d.): http:\/\/www-cvr.ai.uiuc.edu\/ponce_grp\/data\/index.htm"},{"key":"12186_CR38","unstructured":"UMD texture dataset (n.d.): http:\/\/users.umiacs.umd.edu\/~fer\/website-texture\/texture.htm"},{"key":"12186_CR39","doi-asserted-by":"crossref","unstructured":"Varma M, Zisserman A (2002) Classifying images of materials: achieving viewpoint and illumination Independence. In: Proceedings of the 7th European Conference on Computer Vision, May 2002, Copenhagen, Denmark","DOI":"10.1007\/3-540-47977-5_17"},{"key":"12186_CR40","doi-asserted-by":"publisher","first-page":"163","DOI":"10.1007\/s11760-018-1341-6","volume":"13","author":"J Wang","year":"2019","unstructured":"Wang J, Fan Y, Li Z, Lei T (2019) Texture classification using multi-resolution global and local Gabor features in pyramid space. Signal Image Video Process 13:163\u2013170. https:\/\/doi.org\/10.1007\/s11760-018-1341-6","journal-title":"Signal Image Video Process"},{"key":"12186_CR41","doi-asserted-by":"publisher","first-page":"12007","DOI":"10.1007\/s11042-019-08566-1","volume":"79","author":"Z Xing","year":"2020","unstructured":"Xing Z, Jia H (2020) An improved thermal exchange optimization based GLCM for multi-level image segmentation. Multimed Tools Appl 79:12007\u201312040. https:\/\/doi.org\/10.1007\/s11042-019-08566-1","journal-title":"Multimed Tools Appl"},{"key":"12186_CR42","doi-asserted-by":"crossref","unstructured":"Xu Y, Yang X, Ling H, Ji H (2010) A new texture descriptor using multifractal analysis in multi-orientation wavelet pyramid. In: 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition. IEEE pp. 161\u2013168","DOI":"10.1109\/CVPR.2010.5540217"},{"key":"12186_CR43","doi-asserted-by":"crossref","unstructured":"Xu Y, Quan Y, Ling H, Ji H (2011) Dynamic texture classification using dynamic fractal analysis. In: Proceedings of the IEEE International Conference on Computer Vision. pp. 1219\u20131226","DOI":"10.1109\/ICCV.2011.6126372"},{"key":"12186_CR44","doi-asserted-by":"publisher","unstructured":"Yong Xu, Hui Ji, Fermuller\u00a0C (2006) A projective invariant for textures. In: 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'06), pp 1932\u20131939. https:\/\/doi.org\/10.1109\/CVPR.2006.38","DOI":"10.1109\/CVPR.2006.38"},{"key":"12186_CR45","doi-asserted-by":"publisher","first-page":"1694","DOI":"10.1109\/TMM.2018.2890362","volume":"21","author":"X Zhao","year":"2019","unstructured":"Zhao X, Lin Y, Liu L, Heikkila J, Zheng W (2019) Dynamic texture classification using unsupervised 3D filter learning and local binary encoding. IEEE Trans Multimed 21:1694\u20131708. https:\/\/doi.org\/10.1109\/TMM.2018.2890362","journal-title":"IEEE Trans Multimed"}],"container-title":["Multimedia Tools and Applications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11042-022-12186-7.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s11042-022-12186-7\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11042-022-12186-7.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,5,6]],"date-time":"2022-05-06T10:29:05Z","timestamp":1651832945000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s11042-022-12186-7"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,3,7]]},"references-count":45,"journal-issue":{"issue":"13","published-print":{"date-parts":[[2022,5]]}},"alternative-id":["12186"],"URL":"https:\/\/doi.org\/10.1007\/s11042-022-12186-7","relation":{},"ISSN":["1380-7501","1573-7721"],"issn-type":[{"value":"1380-7501","type":"print"},{"value":"1573-7721","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,3,7]]},"assertion":[{"value":"16 October 2020","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"5 August 2021","order":2,"name":"revised","label":"Revised","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"10 January 2022","order":3,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"7 March 2022","order":4,"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 they have no conflict of interest.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}}]}}