Review on Detection of Plant Leaf Diseases Using Color Transformation
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International Journal of Computer Trends and Technology (IJCTT) |  |
| © 2014 by IJCTT Journal | ||
| Volume-15 Number-3 |
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| Year of Publication : 2014 | ||
| Authors : Akshay Karale , Avinash Bhoir , Nilesh Pawar , Rahul Vyavhare | ||
| DOI : 10.14445/22312803/IJCTT-V15P125 |
Akshay Karale , Avinash Bhoir , Nilesh Pawar , Rahul Vyavhare. "Review on Detection of Plant Leaf Diseases Using Color Transformation". International Journal of Computer Trends and Technology (IJCTT) V15(3):114-116, Sep 2014. ISSN:2231-2803. www.ijcttjournal.org. Published by Seventh Sense Research Group.
Abstract -
In this paper we propose an automatic detection of plant diseases using image processing techniques.The proposed system is a software solution for automatic detection and computation of texture statistics for plant leaf diseases. The developed processing system consists of four main steps, first a color transformation structure for the input RGB image is created, then the green pixels are masked and removed using specific threshold value, then the image is segmented and the useful segments are extracted, finally the texture statistics is computed. From the texture statistics, the presence of diseases on the plant leaf is evaluated.
References
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Keywords
HSI, Co-occurrence matrix,,Texture, Masking of pixels, plant Disease Detection.