Please use this identifier to cite or link to this item: http://localhost:8080/xmlui/handle/123456789/1251
Title: A NOVEL LEAF RECOGNITION TECHNIQUE FOR PLANT CLASSIFICATION
Authors: Arunpriya C
Antony Selvadoss Thanamani
Keywords: Leaf Recognition
Dual Tree Discrete Wavelet Transform (DT-DWT)
Digital Morphological Features (DMFs)
K-Means Algorithm
Fuzzy C-Means (FCM)
Issue Date: Feb-2014
Publisher: International Journal of Computer Engineering and Applications
Abstract: Plants 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.
URI: http://localhost:8080/xmlui/handle/123456789/1251
ISSN: 2321-3469
Appears in Collections:International Journals

Files in This Item:
File Description SizeFormat 
A NOVEL LEAF RECOGNITION TECHNIQUE FOR PLANT CLASSIFICATION.docx10.34 kBMicrosoft Word XMLView/Open


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.