(Publisher of Peer Reviewed Open Access Journals)

International Journal of Advanced Computer Research (IJACR)

ISSN (Print):2249-7277    ISSN (Online):2277-7970
Volume-4 Issue-15 June-2014
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Paper Title : Disease Detection of Cotton Leaves Using Advanced Image Processing
Author Name : Vivek Chaudhari, C. Y. Patil
Abstract :

In this research, identification and classification of cotton diseases is done. The pattern of disease is important part where some features like the colour of actual infected image are extracted from image. There are so many diseases occurred on cotton leaf so the leaf color is different for different diseases. This paper uses k-mean clustering with Discrete Wavelet Transform for efficient plant leaf image segmentation and classification between normal & diseased images using neural network technique. Segmentation is basic pre-processing task in image processing applications and it is required to extract diseased plant leaf from normal plant leaf image and image background. Image segmentation is necessary to detect objects and borderlines in images. Even though different methods are already proposed, it is still hard to accurately segment a random image by one specific method. In last years, additional attention has been given to merge segmentation algorithm and feature extraction algorithm to enhance segmentation results.

Keywords : Pre-processing, Segmentation, Wavelet transform, k-mean clustering, Neural network.
Cite this article : Vivek Chaudhari, C. Y. Patil, " Disease Detection of Cotton Leaves Using Advanced Image Processing " , International Journal of Advanced Computer Research (IJACR), Volume-4, Issue-15, June-2014 ,pp.653-659.