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dc.contributor.authorArunpriya C-
dc.contributor.authorAntony Selvadoss Thanamani-
dc.date.accessioned2020-09-02T09:35:46Z-
dc.date.available2020-09-02T09:35:46Z-
dc.date.issued2014-02-
dc.identifier.issn2321-3469-
dc.identifier.urihttp://localhost:8080/xmlui/handle/123456789/1251-
dc.description.abstractPlants are the distinctive living things which incorporate many good things in it. At present due to environment degradation, many rare plant species on the earth are still unknown and are at the boundary of extinction. This must be avoided and they have to be preserved. This paper mainly focused on extraction of features for accurate classification of its types. Each plant leaves are different in shape, texture etc. By extracting the unique features in it they can be easily classified. Morphological and geometrical features from leaves are extracted here. Adaptive Neuro-Fuzzy Inference System (ANFIS) is used for efficient classification. The ANFIS is trained by 50 different leaves to classify them into 5 types and its efficiency is calculated by accuracy and execution time factor.en_US
dc.language.isoenen_US
dc.publisherInternational Journal of Computer Engineering and Applicationsen_US
dc.subjectLeaf Recognitionen_US
dc.subjectDual Tree Discrete Wavelet Transform (DT-DWT)en_US
dc.subjectDigital Morphological Features (DMFs)en_US
dc.subjectK-Means Algorithmen_US
dc.subjectFuzzy C-Means (FCM)en_US
dc.titleA NOVEL LEAF RECOGNITION TECHNIQUE FOR PLANT CLASSIFICATIONen_US
dc.typeArticleen_US
Appears in Collections:International Journals

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