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Whether color, shape and texture of leaves are the key features for image processing based plant recognition? An analysis!

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dc.contributor.author Thanikkal, Jibi G
dc.contributor.author Dubey, Ashwani Kumar
dc.contributor.author Thomas, MT
dc.date.accessioned 2022-03-03T05:26:41Z
dc.date.available 2022-03-03T05:26:41Z
dc.date.issued 2017
dc.identifier.citation J. G. Thanikkal, A. Kumar Dubey and M. T. Thomas, "Whether color, shape and texture of leaves are the key features for image processing based plant recognition? An analysis!," 2017 Recent Developments in Control, Automation & Power Engineering (RDCAPE), 2017, pp. 404-409 en_US
dc.identifier.other 10.1109/RDCAPE.2017.8358305
dc.identifier.uri http://starc.stthomas.ac.in:8080/xmlui/xmlui/handle/123456789/175
dc.description.abstract Studies on plant identification through image processing consider shape, color and texture features of leafs. But botanist's uses leaf morphology, leaf arrangement, types of venation, leave shapes, leave bases, leaf margins and leaf apices for recognizing a plant. This paper introduces the leaf venation, leaf margin, leaf apies, and leaf bases models for improving plant leaf identification. These new features along with shape, color and feature increases the accuracy of the plant identification. en_US
dc.language.iso en en_US
dc.publisher Institute of Electrical and Electronics Engineers Inc. en_US
dc.subject Plant recognition en_US
dc.subject Image processing en_US
dc.subject Shape matching en_US
dc.subject Morphological features en_US
dc.subject Leaf image en_US
dc.title Whether color, shape and texture of leaves are the key features for image processing based plant recognition? An analysis! en_US
dc.type Article en_US


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