{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,27]],"date-time":"2025-03-27T23:22:59Z","timestamp":1743117779866,"version":"3.40.3"},"publisher-location":"Cham","reference-count":13,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783319959320"},{"type":"electronic","value":"9783319959337"}],"license":[{"start":{"date-parts":[[2018,1,1]],"date-time":"2018-01-01T00:00:00Z","timestamp":1514764800000},"content-version":"unspecified","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":[[2018]]},"DOI":"10.1007\/978-3-319-95933-7_8","type":"book-chapter","created":{"date-parts":[[2018,7,5]],"date-time":"2018-07-05T06:48:38Z","timestamp":1530773318000},"page":"61-66","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Multi-modal Plant Leaf Recognition Based on Centroid-Contour Distance and Local Discriminant Canonical Correlation Analysis"],"prefix":"10.1007","author":[{"given":"Shanwen","family":"Zhang","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zhen","family":"Wang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yun","family":"Shi","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2018,7,6]]},"reference":[{"key":"8_CR1","doi-asserted-by":"crossref","unstructured":"Sabu, A., Sreekumar, K.: Literature review of image features and classifiers used in leaf based plant recognition through image analysis approach. In: IEEE International Conference on Inventive Communication and Computational Technologies, pp. 145\u2013149 (2017)","DOI":"10.1109\/ICICCT.2017.7975176"},{"key":"8_CR2","doi-asserted-by":"publisher","unstructured":"W\u00e4ldchen, J., M\u00e4der, P.: Plant species identification using computer vision techniques: a systematic literature review. Arch. Comput. Methods Eng. 1\u201337 (2017). https:\/\/doi.org\/10.1007\/s11831-016-9206","DOI":"10.1007\/s11831-016-9206"},{"issue":"11","key":"8_CR3","doi-asserted-by":"publisher","first-page":"4667","DOI":"10.1109\/TIP.2012.2207391","volume":"21","author":"R Hu","year":"2012","unstructured":"Hu, R., Jia, W., Ling, H., et al.: Multiscale distance matrix for fast plant leaf recognition. IEEE Trans. Image Process. 21(11), 4667 (2012)","journal-title":"IEEE Trans. Image Process."},{"key":"8_CR4","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"205","DOI":"10.1007\/978-3-642-39094-4_24","volume-title":"Image Analysis and Recognition","author":"S Mouine","year":"2013","unstructured":"Mouine, S., Yahiaoui, I., Verroust-Blondet, A.: Combining leaf salient points and leaf contour descriptions for plant species recognition. In: Kamel, M., Campilho, A. (eds.) ICIAR 2013. LNCS, vol. 7950, pp. 205\u2013214. Springer, Heidelberg (2013). https:\/\/doi.org\/10.1007\/978-3-642-39094-4_24"},{"key":"8_CR5","doi-asserted-by":"publisher","first-page":"131","DOI":"10.1016\/j.neucom.2014.10.113","volume":"188","author":"JX Du","year":"2014","unstructured":"Du, J.X., Shao, M.W., Zhai, C.M., et al.: Recognition of leaf image set based on manifold\u2013manifold distance. Neurocomputing 188, 131\u2013138 (2014)","journal-title":"Neurocomputing"},{"issue":"1","key":"8_CR6","first-page":"61","volume":"58","author":"C Jyotismita","year":"2015","unstructured":"Jyotismita, C., Ranjan, P., Samar, B.: Plant leaf recognition using texture and shape features with neural classifiers. Pattern Recogn. Lett. 58(1), 61\u201368 (2015)","journal-title":"Pattern Recogn. Lett."},{"issue":"1","key":"8_CR7","first-page":"141","volume":"11","author":"H Zhang","year":"2015","unstructured":"Zhang, H., Tao, X.: Leaf image recognition based on wavelet and fractal dimension. J. Comput. Inf. Syst. 11(1), 141\u2013148 (2015)","journal-title":"J. Comput. Inf. Syst."},{"issue":"17","key":"8_CR8","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1007\/s11042-015-3178-0","volume":"76","author":"Q Zeng","year":"2017","unstructured":"Zeng, Q., Zhu, T., Zhuang, X., et al.: Using the periodic wavelet descriptor of plant leaf to identify plant species. Multimed. Tools Appl. 76(17), 1\u201318 (2017)","journal-title":"Multimed. Tools Appl."},{"issue":"3","key":"8_CR9","first-page":"16","volume":"2","author":"A Kohei","year":"2013","unstructured":"Kohei, A., Cahya, R.: Content based image retrieval by using multi layer centroid contour distance. Int. J. Adv. Res. Artif. Intell. 2(3), 16\u201320 (2013)","journal-title":"Int. J. Adv. Res. Artif. Intell."},{"issue":"1","key":"8_CR10","first-page":"209","volume":"20","author":"BM Fern","year":"2014","unstructured":"Fern, B.M., Sulong, G.B., Rahim, M.S.M.: Leaf recognition based on leaf tip and leaf base using centroid contour gradient. J. Comput. Theor. Nanosci. 20(1), 209\u2013212 (2014)","journal-title":"J. Comput. Theor. Nanosci."},{"key":"8_CR11","doi-asserted-by":"publisher","first-page":"012002","DOI":"10.1088\/1755-1315\/31\/1\/012002","volume":"31","author":"Abdurrasyid Hasim","year":"2016","unstructured":"Hasim, A., Herdiyeni, Y., Douady, S.: Leaf shape recognition using centroid contour distance. IOP Conf. Ser. Earth Environ. Sci. 31, (2016). https:\/\/doi.org\/10.1088\/1755-1315\/31\/1\/012002. 012002","journal-title":"IOP Conference Series: Earth and Environmental Science"},{"key":"8_CR12","doi-asserted-by":"crossref","unstructured":"Khmag, A., Al-Haddad, S.A.R., Kamarudin, N.: Recognition system for leaf images based on its leaf contour and centroid. In: Student Conference on Research and Development, pp. 467\u2013472. IEEE (2017)","DOI":"10.1109\/SCORED.2017.8305438"},{"issue":"11","key":"8_CR13","doi-asserted-by":"publisher","first-page":"2102","DOI":"10.1109\/LGRS.2017.2752800","volume":"14","author":"XY Huang","year":"2017","unstructured":"Huang, X.Y., Zhang, B., Qiao, H., et al.: Local discriminant canonical correlation analysis for supervised PolSAR image classification. IEEE Geosci. Remote Sens. Lett. 14(11), 2102\u20132106 (2017)","journal-title":"IEEE Geosci. Remote Sens. Lett."}],"container-title":["Lecture Notes in Computer Science","Intelligent Computing Theories and Application"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-95933-7_8","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,3,7]],"date-time":"2024-03-07T15:55:58Z","timestamp":1709826958000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-319-95933-7_8"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018]]},"ISBN":["9783319959320","9783319959337"],"references-count":13,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-95933-7_8","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2018]]},"assertion":[{"value":"6 July 2018","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ICIC","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Intelligent Computing","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Wuhan","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":"15 August 2018","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"18 August 2018","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"14","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"icic2018","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/ic-ic.tongji.edu.cn\/2018\/index.htm","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Single-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"LOD","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"632","order":3,"name":"number_of_submissions_sent_for_review","label":"Number of Submissions Sent for Review","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"275","order":4,"name":"number_of_full_papers_accepted","label":"Number of Full Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"72","order":5,"name":"number_of_short_papers_accepted","label":"Number of Short Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"44% - The value is computed by the equation \"Number of Full Papers Accepted \/ Number of Submissions Sent for Review * 100\" and then rounded to a whole number.","order":6,"name":"acceptance_rate_of_full_papers","label":"Acceptance Rate of Full Papers","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"3.46","order":7,"name":"average_number_of_reviews_per_paper","label":"Average Number of Reviews per Paper","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"0","order":8,"name":"average_number_of_papers_per_reviewer","label":"Average Number of Papers per Reviewer","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"Yes","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}