Journal
2014 WORLD CONGRESS ON COMPUTING AND COMMUNICATION TECHNOLOGIES (WCCCT 2014)
Volume -, Issue -, Pages 173-+Publisher
IEEE
DOI: 10.1109/WCCCT.2014.39
Keywords
Image enhancement; Color conversion; Histogram equalization; RGB images; Grayscale Images; plant leaves disease
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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.
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