{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,26]],"date-time":"2025-03-26T00:24:16Z","timestamp":1742948656062,"version":"3.40.3"},"publisher-location":"Cham","reference-count":36,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030049454"},{"type":"electronic","value":"9783030049461"}],"license":[{"start":{"date-parts":[[2019,2,19]],"date-time":"2019-02-19T00:00:00Z","timestamp":1550534400000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2020]]},"DOI":"10.1007\/978-3-030-04946-1_4","type":"book-chapter","created":{"date-parts":[[2019,2,18]],"date-time":"2019-02-18T12:13:10Z","timestamp":1550491990000},"page":"31-40","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Local Binary Pattern Metric-Based Multi-focus Image Fusion"],"prefix":"10.1007","author":[{"given":"Wenda","family":"Zhao","sequence":"first","affiliation":[]},{"given":"Weiling","family":"Yin","sequence":"additional","affiliation":[]},{"given":"Di","family":"You","sequence":"additional","affiliation":[]},{"given":"Dong","family":"Wang","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2019,2,19]]},"reference":[{"key":"4_CR1","doi-asserted-by":"crossref","unstructured":"Kaur, G., Kaur, P.: Survey on multifocus image fusion techniques. In: International Conference on Electrical, Electronics, and Optimization Techniques (ICEEOT), pp. 1420\u20131424 (2016)","DOI":"10.1109\/ICEEOT.2016.7754918"},{"issue":"3","key":"4_CR2","doi-asserted-by":"publisher","first-page":"212","DOI":"10.1111\/jmi.12235","volume":"258","author":"Y Qu","year":"2015","unstructured":"Qu, Y., Yang, H.: Optical microscopy with flexible axial capabilities using a vari-focus liquid lens. J. Microsc. 258(3), 212\u2013222 (2015)","journal-title":"J. Microsc."},{"key":"4_CR3","unstructured":"Abdipour, M., Nooshyar, M.: Multi-focus image fusion using sharpness criteria for visual sensor networks in wavelet domain. Comput. Electr. Eng. 51, 74-88 (2016) (ISSN)"},{"issue":"5","key":"4_CR4","doi-asserted-by":"publisher","first-page":"347","DOI":"10.1049\/iet-ipr.2014.0311","volume":"9","author":"Y Liu","year":"2015","unstructured":"Liu, Y., Wang, Z.: Simultaneous image fusion and denoising with adaptive sparse representation. IET Image Proc. 9(5), 347\u2013357 (2015)","journal-title":"IET Image Proc."},{"key":"4_CR5","doi-asserted-by":"publisher","first-page":"14898","DOI":"10.1109\/ACCESS.2017.2698217","volume":"5","author":"Y Yang","year":"2017","unstructured":"Yang, Y., Tong, S., Huang, S., Lin, P., Fang, Y.: A hybrid method for multi-focus image fusion based on fast discrete curvelet transform. IEEE Access 5, 14898\u201314913 (2017)","journal-title":"IEEE Access"},{"issue":"5","key":"4_CR6","first-page":"2824","volume":"15","author":"Y Yang","year":"2015","unstructured":"Yang, Y., Tong, S., Huang, S., Lin, P.: Multifocus image fusion based on NSCT and focused area detection. IEEE Sens. J. 15(5), 2824\u20132838 (2015)","journal-title":"IEEE Sens. J."},{"key":"4_CR7","doi-asserted-by":"publisher","first-page":"16985","DOI":"10.1109\/ACCESS.2017.2741500","volume":"5","author":"Y Yang","year":"2017","unstructured":"Yang, Y., et al.: Multi-focus image fusion via clustering PCA based joint dictionary learning. IEEE Access 5, 16985\u201316997 (2017)","journal-title":"IEEE Access"},{"issue":"5","key":"4_CR8","doi-asserted-by":"publisher","first-page":"2045","DOI":"10.1109\/TIP.2016.2524212","volume":"25","author":"Q Zhang","year":"2016","unstructured":"Zhang, Q., Levine, M.D.: Robust multi-focus image fusion using multi-task sparse representation and spatial context. IEEE Trans. Image Process. 25(5), 2045\u20132058 (2016)","journal-title":"IEEE Trans. Image Process."},{"key":"4_CR9","unstructured":"Cao, L., Jin, L., Tao, H., Li, G., Zhuang, Z., Zhang, Y.: Multi-focus image fusion based on spatial frequency in discrete cosine transform domain. IEEE Signal Process. Lett. 22(2), 220\u2013224 (2015)"},{"key":"4_CR10","doi-asserted-by":"publisher","first-page":"20286","DOI":"10.1109\/ACCESS.2017.2758644","volume":"5","author":"Q Jiang","year":"2017","unstructured":"Jiang, Q., Jin, X., Lee, S.J., Yao, S.: A novel multi-focus image fusion method based on stationary wavelet transform and local features of fuzzy sets. IEEE Access 5, 20286\u201320302 (2017)","journal-title":"IEEE Access"},{"issue":"6","key":"4_CR11","first-page":"125","volume":"7","author":"BK Shreyamsha Kumar","year":"2013","unstructured":"Shreyamsha Kumar, B.K.: Multi-focus and multispectral image fusion based on pixel significance using discrete cosine harmonic wavelet transform. Signal Image Video Process. 7(6), 125\u20131143 (2013)","journal-title":"Signal Image Video Process."},{"issue":"5","key":"4_CR12","doi-asserted-by":"publisher","first-page":"1193","DOI":"10.1007\/s11760-013-0556-9","volume":"9","author":"BK Shreyamsha Kumar","year":"2015","unstructured":"Shreyamsha Kumar, B.K.: Image fusion based on pixel significance using cross bilateral filter. Signal Image Video Process. 9(5), 1193\u20131204 (2015)","journal-title":"Signal Image Video Process."},{"issue":"12","key":"4_CR13","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, R.K., Jane Wang, Z.: Image fusion with convolutional sparse representation. IEEE Signal Process. Lett. 23(12), 1882\u20131886 (2016)","journal-title":"IEEE Signal Process. Lett."},{"key":"4_CR14","doi-asserted-by":"publisher","first-page":"138","DOI":"10.1016\/j.optcom.2014.10.031","volume":"338","author":"D Guo","year":"2015","unstructured":"Guo, D., Yan, J., Xiaobo, Q.: High quality multi-focus image fusion using self-similarity and depth information. Opt. Commun. 338, 138\u2013144 (2015)","journal-title":"Opt. Commun."},{"key":"4_CR15","doi-asserted-by":"publisher","first-page":"99","DOI":"10.1016\/j.inffus.2014.07.003","volume":"23","author":"VN Gangapure","year":"2015","unstructured":"Gangapure, V.N., Banerjee, S., Chowdhury, A.S.: Steerable local frequency based multispectral multifocus image fusion. Inf. Fusion 23, 99\u2013115 (2015)","journal-title":"Inf. Fusion"},{"key":"4_CR16","doi-asserted-by":"crossref","unstructured":"Farid, M.S., Mahmood, A., Al-Maadeed, S.A.: Multi-focus image fusion using content adaptive blurring. Inf. Fusion (2018)","DOI":"10.1016\/j.inffus.2018.01.009"},{"issue":"3","key":"4_CR17","doi-asserted-by":"publisher","first-page":"1526","DOI":"10.1109\/TIP.2017.2779274","volume":"27","author":"Y Chen","year":"2018","unstructured":"Chen, Y., Guan, J., Cham, W.K.: Robust multi-focus image fusion using edge model and multi-matting. IEEE Trans. Image Process. 27(3), 1526\u20131541 (2018)","journal-title":"IEEE Trans. Image Process."},{"key":"4_CR18","doi-asserted-by":"crossref","unstructured":"Liu, Y., Chen, X., Peng, H., Wang, Z.: Multi-focus image fusion with a deep convolutional neural network. Inf. Fusion 36, 191\u2013207 (2017)","DOI":"10.1016\/j.inffus.2016.12.001"},{"key":"4_CR19","doi-asserted-by":"publisher","first-page":"15750","DOI":"10.1109\/ACCESS.2017.2735019","volume":"5","author":"C Du","year":"2017","unstructured":"Du, C., Gao, S.: Image segmentation-based multi-focus image fusion through multi-scale convolutional neural network. IEEE Access 5, 15750\u201315761 (2017)","journal-title":"IEEE Access"},{"key":"4_CR20","doi-asserted-by":"crossref","unstructured":"Zhang, Y., Bai, X., Wang, T.: Boundary finding based multi-focus image fusion through multi-scale morphological focus-measure. Inf. Fusion 35, 81\u2013101 (2017)","DOI":"10.1016\/j.inffus.2016.09.006"},{"key":"4_CR21","doi-asserted-by":"crossref","unstructured":"Nejati, M., Samavi, S., Karimi, N., Reza Soroushmehr, S.M., Shirani, S., Roosta, I., Najarian, K.: Surface area-based focus criterion for multi-focus image fusion. Inf. Fusion 36, 284\u2013295 (2017)","DOI":"10.1016\/j.inffus.2016.12.009"},{"issue":"7","key":"4_CR22","doi-asserted-by":"publisher","first-page":"2864","DOI":"10.1109\/TIP.2013.2253483","volume":"22","author":"S Li","year":"2013","unstructured":"Li, S., Kang, X., Hu, J.: Image Fusion With Guided Filtering. IEEE Trans. Image Process. 22(7), 2864\u20132875 (2013)","journal-title":"IEEE Trans. Image Process."},{"issue":"6","key":"4_CR23","doi-asserted-by":"publisher","first-page":"1173","DOI":"10.1007\/s11760-012-0381-6","volume":"7","author":"J Zhao","year":"2013","unstructured":"Zhao, J., Feng, H., Xu, Z., Li, Q., Tao, X.: Automatic blur region segmentation approach using image matting. Signal Image Video Process. 7(6), 1173\u20131181 (2013)","journal-title":"Signal Image Video Process."},{"key":"4_CR24","doi-asserted-by":"crossref","unstructured":"Shi, J., Xu, L., Jia, J.: Discriminative blur detection features. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 2965\u20132972 (2014)","DOI":"10.1109\/CVPR.2014.379"},{"key":"4_CR25","unstructured":"Liu, R., Li, Z., Jia, J.: Image partial blur detection and classification. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 1\u20138 (2008)"},{"key":"4_CR26","doi-asserted-by":"crossref","unstructured":"Vu, C.T., Phan, T.D., Chandler, D.M.: S3: a spectral and spatial measure of local perceived sharpness in natural images. IEEE Trans. Image Process. 21(3), 934\u2013945 (2012)","DOI":"10.1109\/TIP.2011.2169974"},{"issue":"1","key":"4_CR27","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.: A comparative study of texture measures with classification based on featured distributions. Pattern Recognit. 29(1), 51\u201359 (1996)","journal-title":"Pattern Recognit."},{"key":"4_CR28","doi-asserted-by":"crossref","unstructured":"Jun, Z., Jizhao, H., Zhenglan, T., Feng, W.: Face detection based on LBP. In: IEEE International Conference on Electronic Measurement & Instruments (ICEMI), pp. 421\u2013425 (2017)","DOI":"10.1109\/ICEMI.2017.8265841"},{"key":"4_CR29","doi-asserted-by":"crossref","unstructured":"Shu, Z., Liu, G., Xie, Z.: Real time target tracking scale adaptive based on LBP operator and nonlinear meanshift. In: International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery (CyberC), pp. 130\u2013133 (2017)","DOI":"10.1109\/CyberC.2017.31"},{"issue":"6","key":"4_CR30","doi-asserted-by":"publisher","first-page":"1657","DOI":"10.1109\/TIP.2010.2044957","volume":"19","author":"Z Guo","year":"2010","unstructured":"Guo, Z., Zhang, L., Zhang, D.: A completed modeling of local binary pattern operator for texture classification. IEEE Trans. Image Process. 19(6), 1657\u20131663 (2010)","journal-title":"IEEE Trans. Image Process."},{"key":"4_CR31","doi-asserted-by":"crossref","unstructured":"Yi, X., Eramian, M.: LBP-based segmentation of defocus blur [J]. IEEE transactions on image processing. 25(4), 1626\u20131638 (2016)","DOI":"10.1109\/TIP.2016.2528042"},{"issue":"7","key":"4_CR32","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.: 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":"4_CR33","unstructured":"Seiichi, S., Lu, H.: Underwater image dehazing using joint trilateral filter. Comput. Electr. Eng. 40(1), 41\u201350 (2014)"},{"key":"4_CR34","unstructured":"http:\/\/mansournejati.ece.iut.ac.ir\/content\/lytro-multi-focus-dataset"},{"issue":"7","key":"4_CR35","doi-asserted-by":"publisher","first-page":"1334","DOI":"10.1016\/j.sigpro.2009.01.012","volume":"89","author":"Q Zhang","year":"2009","unstructured":"Zhang, Q., Guo, B.: Multifocus image fusion using the non-subsampled contourlet transform. Signal Process. 89(7), 1334\u20131346 (2009)","journal-title":"Signal Process."},{"issue":"18","key":"4_CR36","doi-asserted-by":"publisher","first-page":"1066","DOI":"10.1049\/el:20081754","volume":"44","author":"M Hossny","year":"2008","unstructured":"Hossny, M., Nahavandi, S., Creighton, D.: Comments on \u2018information measure for performance of image fusion\u2019. Electron. Lett. 44(18), 1066\u20131067 (2008)","journal-title":"Electron. Lett."}],"container-title":["Studies in Computational Intelligence","Cognitive Internet of Things: Frameworks, Tools and Applications"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-04946-1_4","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,5,17]],"date-time":"2019-05-17T20:26:03Z","timestamp":1558124763000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-030-04946-1_4"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,2,19]]},"ISBN":["9783030049454","9783030049461"],"references-count":36,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-04946-1_4","relation":{},"ISSN":["1860-949X","1860-9503"],"issn-type":[{"type":"print","value":"1860-949X"},{"type":"electronic","value":"1860-9503"}],"subject":[],"published":{"date-parts":[[2019,2,19]]},"assertion":[{"value":"19 February 2019","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ISAIR","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Symposium on Artificial Intelligence and Robotics","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Nanjing","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"China","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2018","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"17 November 2018","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"19 November 2018","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"isair2018","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/isair.site\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}