Call For Paper Volume:7 Issue:1 Jan'2020 |

Computer Vision image Enhancement and Plant Leaves Disease Detection

Publication Date : 10/06/2015

Author(s) :

Deepak Jalindar Dange , Prof Sayyad M. A..

Volume/Issue :
Volume 2
Issue 6
(06 - 2015)

Abstract :

Images are having high quality and clarity than original captured images after enhancing. Different real time applications such as remote sensing, medical image analysis and plant leaves disease detection are used by computer vision image enhancement (Color conversion and Histogram equalization). Original captured images are RGB images. RGB images are combination of primary colors (Red, Green and Blue). The range of this color is 0 to 255 so it is become difficult to implement application. Grayscale image application implementation is easy because it has range between 0 and 1 Histogram equalization increases the images clarity. Further plant leave disease detection is used by grayscale conversion and histogram equalization. In agriculture research of automatic leaf disease detection is important research topic. It may applicable in monitoring large fields of crops, and thus automatically detect symptoms of disease by the leaves of plant. The term disease is usually used only for destruction of live plants. Paper shows the important method to develop for detecting the plant disease. The methods studies are for increasing throughput and accurate treatment of plant disease than human prediction. Digital image processing is a technique used for enhancement of the image. To improve agricultural products automatic detection of symptoms is beneficial.

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Computer Vision image Enhancement and Plant Leaves Disease Detection

June 6, 2015