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 |