Computer Visionimage Enhancement for Plant Leaves Disease Detection

Author

Thangadurai, K. ; Padmavathi, K.

Author_Institution

Dept. Of Comp. Sci., Gov. Arts Coll., Karur, India

fYear

2014

fDate

Feb. 27 2014-March 1 2014

Firstpage

173

Lastpage

175

Abstract

Enhanced images have high quality and clarity than original captured images. Computer vision image enhancement (Color conversion and Histogram equalization) is used in different real time applications such as remote sensing, medical image analysis and plant leaves disease detection. Original captured images are RGB images. RGB images are combination of primary colors (Red, Green and Blue). It is difficult to implement the applications because of the range of this color is 0 to 255. Grayscale images have only the range between 0 and 1. So it is easy to implement many applications. Histogram equalization is used to increase the images clarity. Grayscale conversion and histogram equalization is used in plant leaves disease detection.

Keywords

computer vision; image colour analysis; image enhancement; plant diseases; RGB images; blue color; color conversion; computer vision image enhancement; grayscale image conversion; green color; histogram equalization; image clarity; image quality; plant leaf disease detection; primary colors; red color; Color; Diseases; Educational institutions; Gray-scale; Histograms; Image color analysis; Image enhancement; Color conversion; Grayscale Images; Histogram equalization; Image enhancement; RGB images; plant leaves disease;

fLanguage

English

Publisher

ieee

Conference_Titel

Computing and Communication Technologies (WCCCT), 2014 World Congress on

Conference_Location

Trichirappalli

Print_ISBN

978-1-4799-2876-7

Type

conf

DOI

10.1109/WCCCT.2014.39

Filename

6755131