  Image segmentation is the most challenging issue in computer vision
applications. And most difficulties for crops management in agriculture are the
lack of appropriate methods for detecting the leaf damage for pests treatment.
In this paper we proposed an automatic method for leaf damage detection and
severity estimation of coffee leaf by avoiding defoliation. After enhancing the
contrast of the original image using LUT based gamma correction, the image is
processed to remove the background, and the output leaf is clustered using
Fuzzy c-means segmentation in V channel of YUV color space to maximize all leaf
damage detection, and finally, the severity of leaf is estimated in terms of
ratio for leaf pixel distribution between the normal and the detected leaf
damage. The results in each proposed method was compared to the current
researches and the accuracy is obvious either in the background removal or
damage detection.
