{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,19]],"date-time":"2025-10-19T16:00:38Z","timestamp":1760889638608,"version":"3.37.3"},"reference-count":12,"publisher":"World Scientific Pub Co Pte Ltd","issue":"12","funder":[{"DOI":"10.13039\/501100001809","name":"Natural Science Foundation of China","doi-asserted-by":"crossref","award":["61671028"],"award-info":[{"award-number":["61671028"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"crossref"}]},{"DOI":"10.13039\/501100004826","name":"Beijing Natural Science Foundation","doi-asserted-by":"crossref","award":["4162018"],"award-info":[{"award-number":["4162018"]}],"id":[{"id":"10.13039\/501100004826","id-type":"DOI","asserted-by":"crossref"}]},{"name":"Beijing Talents Fund","award":["2014000026833ZK14"],"award-info":[{"award-number":["2014000026833ZK14"]}]},{"name":"Importation and Development of High-Caliber Talents Project of Beijing Municipal Institutions","award":["CIT&TCD201504010"],"award-info":[{"award-number":["CIT&TCD201504010"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Int. J. Patt. Recogn. Artif. Intell."],"published-print":{"date-parts":[[2018,12]]},"abstract":"<jats:p>Green plant species identification plays an important role in so many aspects, such as ecological environment protection, Chinese medicine preparation, agricultural and horticultural application, etc. A method on green plants recognition based on wavelet transform and variable local edge patterns (VLEP) is proposed in this paper. Firstly, the original image is decomposed by wavelet transformation. Then texture features are extracted using VLEPs. At the same time, block-based and multi-resolution ideas are considered together to extract features after images are transformed by wavelet. Finally, the fused texture features are classified by the nearest neighbor method. The experimental results show that the proposed method is a promising method for recognizing the common green plants with the natural and complex background compared with the other state-of-the-art methods, and combination of block-based and multi-resolution ideas can further improve the accuracy rate effectively.<\/jats:p>","DOI":"10.1142\/s0218001418500453","type":"journal-article","created":{"date-parts":[[2018,6,4]],"date-time":"2018-06-04T05:50:16Z","timestamp":1528091416000},"page":"1850045","source":"Crossref","is-referenced-by-count":3,"title":["Common Green Plants Recognition Based on Wavelet Transformation and Varied Local Edge Patterns"],"prefix":"10.1142","volume":"32","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-2601-0664","authenticated-orcid":false,"given":"Yu","family":"Wang","sequence":"first","affiliation":[{"name":"Beijing Key Laboratory of Big Data Technology for Food Safety, School of Computer and Information Engineering, Beijing Technology and Business University, Beijing 100048, P. R. China"}]},{"given":"Xiaomeng","family":"Chen","sequence":"additional","affiliation":[{"name":"Beijing Key Laboratory of Big Data Technology for Food Safety, School of Computer and Information Engineering, Beijing Technology and Business University, Beijing 100048, P. R. China"}]},{"given":"Qiang","family":"Cai","sequence":"additional","affiliation":[{"name":"Beijing Key Laboratory of Big Data Technology for Food Safety, School of Computer and Information Engineering, Beijing Technology and Business University, Beijing 100048, P. R. China"}]},{"given":"Haisheng","family":"Li","sequence":"additional","affiliation":[{"name":"Beijing Key Laboratory of Big Data Technology for Food Safety, School of Computer and Information Engineering, Beijing Technology and Business University, Beijing 100048, P. R. China"}]}],"member":"219","published-online":{"date-parts":[[2018,8,27]]},"reference":[{"key":"S0218001418500453BIB005","doi-asserted-by":"publisher","DOI":"10.3788\/OPE.20162404.0873"},{"issue":"02","key":"S0218001418500453BIB006","first-page":"200","volume":"36","author":"Liu J.","year":"2016","journal-title":"J. Comput. Appl."},{"issue":"1","key":"S0218001418500453BIB007","doi-asserted-by":"crossref","first-page":"56","DOI":"10.15623\/ijret.2015.0401010","volume":"4","author":"Murali S.","year":"2015","journal-title":"Int. J. Eng. Res. Sci. Technol."},{"issue":"2","key":"S0218001418500453BIB008","doi-asserted-by":"crossref","first-page":"371","DOI":"10.1515\/jisys-2015-0003","volume":"26","author":"Nagendraswamy H. S.","year":"2017","journal-title":"J. Intell. Syst."},{"key":"S0218001418500453BIB009","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2002.1017623"},{"issue":"9","key":"S0218001418500453BIB010","first-page":"2200","volume":"39","author":"Ren S. H.","year":"2011","journal-title":"Chin. J. Electron."},{"issue":"10","key":"S0218001418500453BIB011","first-page":"2333","volume":"37","author":"Shi J.","year":"2016","journal-title":"Chin. J. Sci. Instrum."},{"key":"S0218001418500453BIB014","doi-asserted-by":"publisher","DOI":"10.1007\/s10851-014-0547-7"},{"issue":"11","key":"S0218001418500453BIB015","first-page":"2559","volume":"40","author":"Wang B.","year":"2017","journal-title":"Chin. J. Comput."},{"key":"S0218001418500453BIB016","doi-asserted-by":"publisher","DOI":"10.1016\/j.jvcir.2015.11.001"},{"issue":"3","key":"S0218001418500453BIB017","first-page":"263","volume":"29","author":"Ye X. L.","year":"2016","journal-title":"Pattern Recognit. Artif. Intell."},{"issue":"7","key":"S0218001418500453BIB018","first-page":"2036","volume":"34","author":"Yu L.","year":"2014","journal-title":"J. Comput. Appl."}],"container-title":["International Journal of Pattern Recognition and Artificial Intelligence"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.worldscientific.com\/doi\/pdf\/10.1142\/S0218001418500453","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2020,11,3]],"date-time":"2020-11-03T02:15:03Z","timestamp":1604369703000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.worldscientific.com\/doi\/abs\/10.1142\/S0218001418500453"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,8,27]]},"references-count":12,"journal-issue":{"issue":"12","published-online":{"date-parts":[[2018,8,27]]},"published-print":{"date-parts":[[2018,12]]}},"alternative-id":["10.1142\/S0218001418500453"],"URL":"https:\/\/doi.org\/10.1142\/s0218001418500453","relation":{},"ISSN":["0218-0014","1793-6381"],"issn-type":[{"type":"print","value":"0218-0014"},{"type":"electronic","value":"1793-6381"}],"subject":[],"published":{"date-parts":[[2018,8,27]]}}}