ISSN (Print) : 0974-6846 Indian Journal of Science and Technology, Vol 9(6), DOI: 10.17485/ijst/2016/v9i6/77739, February 2016 ISSN (Online) : 0974-5645 Implementation of RGB and Grayscale Images in Plant Leaves Disease Detection – Comparative Study K. Padmavathi1* and K. Thangadurai2 1Research and Development Centre, Bharathiar University, Coimbatore - 641046, Tamil Nadu, India;
[email protected] 2PG and Research Department of Computer Science, Government Arts College (Autonomous), Karur - 639007, Tamil Nadu, India;
[email protected] Abstract Background/Objectives: Digital image processing is used various fields for analyzing differentMethods/Statistical applications such as Analysis: medical sciences, biological sciences. Various image types have been used to detect plant diseases. This work is analyzed and compared two types of images such as Grayscale, RGBResults/Finding: images and the comparative result is given. We examined and analyzed the Grayscale and RGB images using image techniques such as pre processing, segmentation, clustering for detecting leaves diseases, In detecting the infected leaves, color becomes an level.important Conclusion: feature to identify the disease intensity. We have considered Grayscale and RGB images and used median filter for image enhancement and segmentation for extraction of the diseased portion which are used to identify the disease RGB image has given better clarity and noise free image which is suitable for infected leaf detection than GrayscaleKeywords: image. Comparison, Grayscale Images, Image Processing, Plant Leaves Disease Detection, RGB Images, Segmentation 1. Introduction 2. Grayscale Image: Grayscale image is a monochrome image or one-color image. It contains brightness Images are the most important data for analysation of information only and no color information.