DOIONLINE

DOIONLINE NO - IJASEAT-IRAJ-DOIONLINE-1998

Publish In
International Journal of Advances in Science, Engineering and Technology(IJASEAT)-IJASEAT
Journal Home
Volume Issue
Issue
Volume-3, Issue-2  ( Apr, 2015 )
Paper Title
A Review On Comparision Of Edge Based Image Segmentation Techniques In The Field Of Crop Diseases
Author Name
Priya P, Dony A.D’souza
Affilition
PG Scholar, Department of ECE, VTU University, MITE Moodbidre, Karnataka Assistant Professor Department of ECE, VTU University, MITE Moodbidre, Karnataka
Pages
38-42
Abstract
Plant, crop and fruit disease analysis is one of the critical tasks in the field of agriculture. Automatic identification and classification of diseases can be supportive to agriculture field maximization. To know what type of measure to take next year to prevent the similar losses, it is important to recognize what is being observed. In this paper, a solution for the detection and classification of apple fruit diseases is proposed. The image processing based proposed approach is composed of the following main steps; in the first step the image segmentation is used, in the second step some state of the art features are extracted from the segmented image, and finally images are classified into one of the classes by using a Multi-class Support Vector Machine. Our experimental results deal with the different types of edge based image segmentation techniques. Keywords- Image Segmentation; Feature Extraction; MSVM Classifier
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