Feature Extraction and Classification Algorithm for Identification of Plant Leaf Diseases |
Author(s): |
| Madhu C K , A J INSTITUTE OF TECHNOLOGY |
Keywords: |
| DCT Features, Morphological Operations, RBF-SVM Classifier, Weiner Filter |
Abstract |
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Generally the progress of plant is affected most commonly by its leaf diseases. Detecting leaf disease is the first step for treating the disease. The proposed method is used to detect the plant leaf disease by image processing. In this work we use image processing technique that is automatically notice signs of the disease. The main propose of the work is computerized detection and classification of leaf diseases. State of the art proposed approach is divided into four major stages. In the first stage pre-processing of input image which includes resizing and color conversion, noise removal using Weiner Filter, second stage is done with segmentation by using morphological based operation like erosion and dilation, third stage is used for feature extraction by Discrete Cosine transform (DCT) method and final stage is to classify using SVM. |
Other Details |
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Paper ID: IJSRDV6I10246 Published in: Volume : 6, Issue : 1 Publication Date: 01/04/2018 Page(s): 307-310 |
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