{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,25]],"date-time":"2025-03-25T21:41:37Z","timestamp":1742938897192,"version":"3.40.3"},"publisher-location":"Cham","reference-count":40,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783031162091"},{"type":"electronic","value":"9783031162107"}],"license":[{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"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":[],"published-print":{"date-parts":[[2022]]},"DOI":"10.1007\/978-3-031-16210-7_19","type":"book-chapter","created":{"date-parts":[[2022,9,20]],"date-time":"2022-09-20T23:03:09Z","timestamp":1663714989000},"page":"237-249","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Textural Features Sensitivity to\u00a0Scale and\u00a0Illumination Variations"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-3000-4083","authenticated-orcid":false,"given":"Pavel","family":"V\u00e1cha","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8159-3685","authenticated-orcid":false,"given":"Michal","family":"Haindl","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2022,9,21]]},"reference":[{"key":"19_CR1","doi-asserted-by":"publisher","unstructured":"Ahonen, T., Matas, J., He, C., Pietikainen, M.: Rotation invariant image description with local binary pattern histogram Fourier features. In: SCIA, pp. 61\u201370 (2009). https:\/\/doi.org\/10.1007\/978-3-642-02230-2_7","DOI":"10.1007\/978-3-642-02230-2_7"},{"key":"19_CR2","doi-asserted-by":"crossref","unstructured":"Bell, S., Upchurch, P., Snavely, N., Bala, K.: Material recognition in the wild with the materials in context database. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 3479\u20133487 (2015)","DOI":"10.1109\/CVPR.2015.7298970"},{"key":"19_CR3","doi-asserted-by":"publisher","first-page":"306","DOI":"10.1016\/j.patrec.2008.10.005","volume":"30","author":"GJ Burghouts","year":"2009","unstructured":"Burghouts, G.J., Geusebroek, J.M.: Material-specific adaptation of color invariant features. Patt. Recogn. Lett. 30, 306\u2013313 (2009). https:\/\/doi.org\/10.1016\/j.patrec.2008.10.005","journal-title":"Patt. Recogn. Lett."},{"key":"19_CR4","unstructured":"Finlayson, G., Schaefer, G., Tian, G.: The UEA uncalibrated colour image database. Technical Report SYS-C00, School of Information System, University of East Anglia, Norwich, UK (2000)"},{"key":"19_CR5","doi-asserted-by":"publisher","unstructured":"Fu, X., Wei, W.: Centralized binary patterns embedded with image Euclidean distance for facial expression recognition. In: ICNC 2008. Fourth International Conference on Natural Computation 2008, vol. 4, pp. 115\u2013119, October 2008. https:\/\/doi.org\/10.1109\/ICNC.2008.94","DOI":"10.1109\/ICNC.2008.94"},{"key":"19_CR6","doi-asserted-by":"crossref","unstructured":"Gibert, X., Patel, V.M., Chellappa, R.: Material classification and semantic segmentation of railway track images with deep convolutional neural networks. In: 2015 IEEE International Conference on Image Processing (ICIP), pp. 621\u2013625. IEEE (2015)","DOI":"10.1109\/ICIP.2015.7350873"},{"issue":"10","key":"19_CR7","doi-asserted-by":"publisher","first-page":"1160","DOI":"10.1109\/TIP.2002.804262","volume":"11","author":"SE Grigorescu","year":"2002","unstructured":"Grigorescu, S.E., Petkov, N., Kruizinga, P.: Comparison of texture features based on Gabor filters. IEEE Trans. Image Process. 11(10), 1160\u20131167 (2002)","journal-title":"IEEE Trans. Image Process."},{"key":"19_CR8","doi-asserted-by":"publisher","unstructured":"Haindl, M., Havl\u00ed\u010dek, V.: A multiscale colour texture model. In: Kasturi, R., Laurendeau, D., Suen, C. (eds.) Proceedings of the 16th International Conference on Pattern Recognition, pp. 255\u2013258. IEEE Computer Society, Los Alamitos, August 2002. https:\/\/doi.org\/10.1109\/ICPR.2002.1044676","DOI":"10.1109\/ICPR.2002.1044676"},{"key":"19_CR9","doi-asserted-by":"publisher","unstructured":"Haindl, M.: Visual data recognition and modeling based on local Markovian models. In: Florack, L., Duits, R., Jongbloed, G., Lieshout, M.C., Davies, L. (eds.) Mathematical Methods for Signal and Image Analysis and Representation, Computational Imaging and Vision, vol. 41, chap. 14, pp. 241\u2013259. Springer, London (2012), https:\/\/doi.org\/10.1007\/978-1-4471-2353-8_14","DOI":"10.1007\/978-1-4471-2353-8_14"},{"key":"19_CR10","doi-asserted-by":"publisher","unstructured":"Haindl, M., Filip, J.: Visual Texture. Advances in Computer Vision and Pattern Recognition, Springer-Verlag, London, London, January 2013. https:\/\/doi.org\/10.1007\/978-1-4471-4902-6","DOI":"10.1007\/978-1-4471-4902-6"},{"key":"19_CR11","unstructured":"Haindl, M., Filip, J., V\u00e1vra, R.: Digital material appearance: the curse of tera-bytes. ERCIM News (90), 49\u201350 (2012). http:\/\/ercim-news.ercim.eu\/en90\/ri\/digital-material-appearance-the-curse-of-tera-bytes"},{"key":"19_CR12","doi-asserted-by":"crossref","unstructured":"Haindl, M., Havl\u00ed\u010dek, V.: A multiresolution causal colour texture model. Lecture Notes in Computer Science, vol. 1876, pp. 114\u2013122 (2000)","DOI":"10.1007\/3-540-44522-6_12"},{"key":"19_CR13","doi-asserted-by":"publisher","unstructured":"Haindl, M., Mike\u0161, S., Kudo, M.: Unsupervised surface reflectance field multi-segmenter. In: Azzopardi, G., Petkov, N. (eds.) Computer Analysis of Images and Patterns. Lecture Notes in Computer Science, vol. 9256, pp. 261\u2013273. Springer International Publishing, September 2015. https:\/\/doi.org\/10.1007\/978-3-319-23192-1_22","DOI":"10.1007\/978-3-319-23192-1_22"},{"key":"19_CR14","doi-asserted-by":"publisher","unstructured":"Haindl, M., Vacha, P.: Wood veneer species recognition using Markovian textural features. In: Azzopardi, G., Petkov, N. (eds.) Computer Analysis of Images and Patterns. Lecture Notes in Computer Science, vol. 9256, pp. 300\u2013311. Springer International Publishing, September 2015. https:\/\/doi.org\/10.1007\/978-3-319-23192-1_25","DOI":"10.1007\/978-3-319-23192-1_25"},{"key":"19_CR15","doi-asserted-by":"publisher","unstructured":"Haindl, M., V\u00e1cha, P.: Scale sensitivity of textural features. In: Beltr\u00e1n-Casta\u00f1\u00f3n, C. et al. (eds.) Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications: 21st Iberoamerican Congress, CIARP 2016, Lima, Peru, 2016, Proceedings. LNCS, vol. 10125, pp. 84\u201392. Springer International Publishing AG, Gewerbestrasse 11, Cham, CH-6330, Switzerland, November 2017. https:\/\/doi.org\/10.1007\/978-3-319-52277-7_11","DOI":"10.1007\/978-3-319-52277-7_11"},{"issue":"9","key":"19_CR16","doi-asserted-by":"publisher","first-page":"1474","DOI":"10.1016\/j.imavis.2006.12.015","volume":"25","author":"J Han","year":"2007","unstructured":"Han, J., Ma, K.K.: Rotation-invariant and scale-invariant Gabor features for texture image retrieval. Image Vis. Comput. 25(9), 1474\u20131481 (2007)","journal-title":"Image Vis. Comput."},{"issue":"3","key":"19_CR17","doi-asserted-by":"publisher","first-page":"425","DOI":"10.1016\/j.patcog.2008.08.014","volume":"42","author":"M Heikkil\u00e4","year":"2009","unstructured":"Heikkil\u00e4, M., Pietik\u00e4inen, M., Schmid, C.: Description of interest regions with local binary patterns. Pattern Recogn. 42(3), 425\u2013436 (2009). https:\/\/doi.org\/10.1016\/j.patcog.2008.08.014","journal-title":"Pattern Recogn."},{"key":"19_CR18","doi-asserted-by":"crossref","unstructured":"Hlaing, C.S., Zaw, S.M.M.: Tomato plant diseases classification using statistical texture feature and color feature. In: 2018 IEEE\/ACIS 17th International Conference on Computer and Information Science (ICIS), pp. 439\u2013444. IEEE (2018)","DOI":"10.1109\/ICIS.2018.8466483"},{"issue":"1","key":"19_CR19","doi-asserted-by":"publisher","first-page":"124","DOI":"10.1109\/83.650858","volume":"7","author":"AK Jain","year":"1998","unstructured":"Jain, A.K., Healey, G.: A multiscale representation including opponent color features for texture recognition. IEEE Trans. Image Process. 7(1), 124\u2013128 (1998)","journal-title":"IEEE Trans. Image Process."},{"issue":"11","key":"19_CR20","doi-asserted-by":"publisher","first-page":"3270","DOI":"10.1109\/TIP.2011.2143422","volume":"20","author":"F Khellah","year":"2011","unstructured":"Khellah, F.: Texture classification using dominant neighborhood structure. IEEE Trans. Image Process. 20(11), 3270\u20133279 (2011). https:\/\/doi.org\/10.1109\/TIP.2011.2143422","journal-title":"IEEE Trans. Image Process."},{"key":"19_CR21","doi-asserted-by":"publisher","unstructured":"Li, Z., Liu, G., Jiang, H., Qian, X.: Image copy detection using a robust Gabor texture descriptor. In: Proceedings of the First ACM Workshop on Large-scale Multimedia Retrieval and Mining, pp. 65\u201372. LS-MMRM 2009. ACM, New York, NY, USA (2009). https:\/\/doi.org\/10.1145\/1631058.1631072","DOI":"10.1145\/1631058.1631072"},{"issue":"5","key":"19_CR22","doi-asserted-by":"publisher","first-page":"1107","DOI":"10.1109\/TIP.2009.2015682","volume":"18","author":"S Liao","year":"2009","unstructured":"Liao, S., Law, M.W.K., Chung, A.C.S.: Dominant local binary patterns for texture classification. IEEE Trans. Image Process. 18(5), 1107\u20131118 (2009). https:\/\/doi.org\/10.1109\/TIP.2009.2015682","journal-title":"IEEE Trans. Image Process."},{"key":"19_CR23","unstructured":"Liu, L., Chen, J., Fieguth, P., Zhao, G., Chellappa, R., Pietikainen, M.: A survey of recent advances in texture representation. arXiv preprint arXiv:1801.10324 (2018)"},{"key":"19_CR24","doi-asserted-by":"publisher","unstructured":"Liu, L., Fieguth, P., Wang, X., Pietik\u00e4inen, M., Hu, D.: Evaluation of LBP and deep texture descriptors with a new robustness benchmark. In: European Conference on Computer Vision, pp. 69\u201386. Springer (2016). https:\/\/doi.org\/10.1007\/978-3-319-46487-9_5","DOI":"10.1007\/978-3-319-46487-9_5"},{"issue":"8","key":"19_CR25","doi-asserted-by":"publisher","first-page":"837","DOI":"10.1109\/34.531803","volume":"18","author":"BS Manjunath","year":"1996","unstructured":"Manjunath, B.S., Ma, W.Y.: Texture features for browsing and retrieval of image data. IEEE Trans. Pattern Anal. Mach. Intell. 18(8), 837\u2013842 (1996). https:\/\/doi.org\/10.1109\/34.531803","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"issue":"3","key":"19_CR26","doi-asserted-by":"publisher","first-page":"3634","DOI":"10.1016\/j.eswa.2011.09.054","volume":"39","author":"L Nanni","year":"2012","unstructured":"Nanni, L., Lumini, A., Brahnam, S.: Survey on LBP based texture descriptors for image classification. Expert Syst. Appl. 39(3), 3634\u20133641 (2012). https:\/\/doi.org\/10.1016\/j.eswa.2011.09.054","journal-title":"Expert Syst. Appl."},{"issue":"7","key":"19_CR27","doi-asserted-by":"publisher","first-page":"971","DOI":"10.1109\/TPAMI.2002.1017623","volume":"24","author":"T Ojala","year":"2002","unstructured":"Ojala, T., Pietik\u00e4inen, M., M\u00e4enp\u00e4\u00e4, T.: Multiresolution gray-scale and rotation invariant texture classification with local binary patterns. IEEE Trans. Pattern Anal. Mach. Intell. 24(7), 971\u2013987 (2002)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"19_CR28","doi-asserted-by":"publisher","first-page":"612","DOI":"10.1016\/j.patrec.2019.06.027","volume":"125","author":"V Reme\u0161","year":"2019","unstructured":"Reme\u0161, V., Haindl, M.: Bark recognition using novel rotationally invariant multispectral textural features. Pattern Recogn. Lett. 125, 612\u2013617 (2019). https:\/\/doi.org\/10.1016\/j.patrec.2019.06.027","journal-title":"Pattern Recogn. Lett."},{"key":"19_CR29","unstructured":"Roy, S.K., Bhattacharya, N., Chanda, B., Chaudhuri, B.B., Ghosh, D.K.: FWLBP: a scale invariant descriptor for texture classification. arXiv preprint arXiv:1801.03228 (2018)"},{"key":"19_CR30","doi-asserted-by":"crossref","unstructured":"Santini, S., Jain, R.: Similarity measures. IEEE Trans. Patt. Anal. Mach. Intell. 21(9), 871\u2013883 (1999)","DOI":"10.1109\/34.790428"},{"key":"19_CR31","doi-asserted-by":"crossref","unstructured":"Shivashankar, S., Kudari, M., Hiremath, P.S.: Galois field-based approach for rotation and scale invariant texture classification. Int. J. Image, Graph. Signal Process. (IJIGSP) 10(9), 56\u201364 (2018)","DOI":"10.5815\/ijigsp.2018.09.07"},{"key":"19_CR32","doi-asserted-by":"crossref","unstructured":"Sidiropoulos, G.K., Ouzounis, A.G., Papakostas, G.A., Sarafis, I.T., Stamkos, A., Solakis, G.: Texture analysis for machine learning based marble tiles sorting. In: 2021 IEEE 11th Annual Computing and Communication Workshop and Conference (CCWC), pp. 0045\u20130051. IEEE (2021)","DOI":"10.1109\/CCWC51732.2021.9376086"},{"key":"19_CR33","doi-asserted-by":"publisher","unstructured":"Simon, P., Uma, V.: Review of texture descriptors for texture classification. In: Data Engineering and Intelligent Computing, pp. 159\u2013176. Springer (2018). https:\/\/doi.org\/10.1007\/978-981-10-3223-3_15","DOI":"10.1007\/978-981-10-3223-3_15"},{"key":"19_CR34","doi-asserted-by":"publisher","unstructured":"Stricker, M.A., Orengo, M.: Similarity of color images, vol. 2420, pp. 381\u2013392. SPIE (1995). https:\/\/doi.org\/10.1117\/12.205308","DOI":"10.1117\/12.205308"},{"key":"19_CR35","doi-asserted-by":"publisher","unstructured":"V\u00e1cha, P., Haindl, M.: Texture recognition using robust Markovian features. In: Salerno, E. et al. (eds.) Computational Intelligence for Multimedia Understanding, Lecture Notes in Computer Science, vol. 7252, pp. 126\u2013137. Springer, Berlin\/Heidelberg (2012). https:\/\/doi.org\/10.1007\/978-3-642-32436-9_11","DOI":"10.1007\/978-3-642-32436-9_11"},{"issue":"6","key":"19_CR36","doi-asserted-by":"publisher","first-page":"771","DOI":"10.1016\/j.patrec.2011.01.002","volume":"32","author":"P V\u00e1cha","year":"2011","unstructured":"V\u00e1cha, P., Haindl, M., Suk, T.: Colour and rotation invariant textural features based on Markov random fields. Pattern Recogn. Lett. 32(6), 771\u2013779 (2011). https:\/\/doi.org\/10.1016\/j.patrec.2011.01.002","journal-title":"Pattern Recogn. Lett."},{"issue":"11","key":"19_CR37","doi-asserted-by":"publisher","first-page":"2032","DOI":"10.1109\/TPAMI.2008.182","volume":"31","author":"M Varma","year":"2009","unstructured":"Varma, M., Zisserman, A.: A statistical approach to material classification using image patch exemplars. IEEE Trans. Pattern Anal. Mach. Intell. 31(11), 2032\u20132047 (2009). https:\/\/doi.org\/10.1109\/TPAMI.2008.182","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"issue":"15","key":"19_CR38","doi-asserted-by":"publisher","first-page":"9935","DOI":"10.1007\/s11042-019-7345-6","volume":"79","author":"S Veerashetty","year":"2020","unstructured":"Veerashetty, S., Patil, N.B.: Novel LBP based texture descriptor for rotation, illumination and scale invariance for image texture analysis and classification using multi-Kernel SVM. Multimedia Tools Appl. 79(15), 9935\u20139955 (2020)","journal-title":"Multimedia Tools Appl."},{"key":"19_CR39","doi-asserted-by":"publisher","first-page":"13336","DOI":"10.1109\/ACCESS.2018.2797072","volume":"6","author":"P Yang","year":"2018","unstructured":"Yang, P., Zhang, F., Yang, G.: Fusing DTCWT and LBP based features for rotation, illumination and scale invariant texture classification. IEEE Access 6, 13336\u201313349 (2018)","journal-title":"IEEE Access"},{"issue":"2","key":"19_CR40","doi-asserted-by":"publisher","first-page":"533","DOI":"10.1109\/TIP.2009.2035882","volume":"19","author":"B Zhang","year":"2010","unstructured":"Zhang, B., Gao, Y., Zhao, S., Liu, J.: Local derivative pattern versus local binary pattern: face recognition with high-order local pattern descriptor. IEEE Trans. Image Process. 19(2), 533\u2013544 (2010)","journal-title":"IEEE Trans. Image Process."}],"container-title":["Communications in Computer and Information Science","Advances in Computational Collective Intelligence"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-16210-7_19","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,3,9]],"date-time":"2023-03-09T12:18:51Z","timestamp":1678364331000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-16210-7_19"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022]]},"ISBN":["9783031162091","9783031162107"],"references-count":40,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-16210-7_19","relation":{},"ISSN":["1865-0929","1865-0937"],"issn-type":[{"type":"print","value":"1865-0929"},{"type":"electronic","value":"1865-0937"}],"subject":[],"published":{"date-parts":[[2022]]},"assertion":[{"value":"21 September 2022","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}}]}}