DOIONLINE

DOIONLINE NO - IJEEDC-IRAJ-DOIONLINE-1529

Publish In
International Journal of Electrical, Electronics and Data Communication (IJEEDC)-IJEEDC
Journal Home
Volume Issue
Issue
Volume-2,Issue-12  ( Dec, 2014 )
Paper Title
Automated Feature Extraction In Cotton Leaf Images By Graph Cut Approach
Author Name
Prashant R. Rothe, Ravindra. V. Kshirsagar
Affilition
Department of Electronics Engineering, Priyadarshini College of Engineering, Nagpur, India
Pages
44-48
Abstract
Feature extraction and representation is a decisive step for pattern recognition system. How to extract ideal features that can reflect the inherent content of the images as complete as possible is still a challenging problem in computer vision. Therefore goal of feature extraction is to improve the effectiveness and efficiency of analysis and classification.In this work we present a graph cut based approach for the segmentation of images of diseased cotton leaves.We extract color layout descriptors which can be used for classiļ¬cation. The diseases that have been considered are Bacterial Blight, Myrothecium and Alternaria. The testing samples of the images are gathered from CICR Nagpur, cotton fields in Buldhana and Nagpur district. Keywords- Cotton Leaf Diseases, Gaussian Filter, Graph Cut, Color Layout Descriptors.
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