Show simple item record

dc.contributor.authorCao, Jie
dc.contributor.authorWang, Bin
dc.contributor.authorBrown, Douglas
dc.date.accessioned2019-03-21T00:44:17Z
dc.date.available2019-03-21T00:44:17Z
dc.date.issued2016
dc.identifier.issn0020-0255
dc.identifier.doi10.1016/j.ins.2016.09.023
dc.identifier.urihttp://hdl.handle.net/10072/142914
dc.description.abstractLeaf image identification is a significant and challenging application of computer vision and image processing. A central issue associated with this task is how to effectively and efficiently describe the leaf images and measure their similarities. In this paper, a novel shape descriptor termed R-angle is proposed. R-angle describes the curvature of the contour by measuring the angle between the intersections of the shape contour with a circle of radius R centered at points sampled around the contour. It is intrinsically invariant to group transforms including scaling, rotation and translation. Varying the parameter R of the proposed R-angle naturally introduces the notation of scale, which we leverage to provide a coarse-to-fine description of the local curvature. A local scale arrangement is proposed by taking the distance between each contour point and the center of the shape to be the maximum scale for a given contour point. Two matching schemes, including L1-norm matching and dynamic programming based matching, are applied to measure the similarities of the leaf shapes. The retrieval experiments conducted on two challenging leaf image datasets indicate that the proposed method significantly outperforms the state-of-the-art methods for leaf identification. An additional experiment on an animal dataset also indicates its potential for general shape recognition.
dc.description.peerreviewedYes
dc.languageEnglish
dc.publisherElsevier
dc.relation.ispartofpagefrom51
dc.relation.ispartofpageto64
dc.relation.ispartofjournalInformation Sciences
dc.relation.ispartofvolume374
dc.subject.fieldofresearchInformation and Computing Sciences not elsewhere classified
dc.subject.fieldofresearchMathematical Sciences
dc.subject.fieldofresearchInformation and Computing Sciences
dc.subject.fieldofresearchEngineering
dc.subject.fieldofresearchcode089999
dc.subject.fieldofresearchcode01
dc.subject.fieldofresearchcode08
dc.subject.fieldofresearchcode09
dc.subject.keywordsPlant identification
dc.subject.keywordsShape description
dc.subject.keywordsInvariant features
dc.subject.keywordsShape matching
dc.subject.keywordsLeaf image retrieval
dc.titleSimilarity based leaf image retrieval using multiscale R-angle description
dc.typeJournal article
dc.type.descriptionC1 - Articles
dc.type.codeC - Journal Articles
gro.hasfulltextNo Full Text
gro.griffith.authorBrown, Douglas L.


Files in this item

FilesSizeFormatView

There are no files associated with this item.

This item appears in the following Collection(s)

  • Journal articles
    Contains articles published by Griffith authors in scholarly journals.

Show simple item record