Crop Disease Leaf Image Segmentation Method Based on Color Features

Abstract

The color feature has been taken an important role in color image segmentation, especially in the fields of automatic detection of crop disease based on leaf image. In this paper an effective method for image segmentation of cucumber leaf images is proposed. First, the color space model is analyzed. Then a kind of color feature is applied to obtain the feature map, which combines RGB model and HSI model. Finally, the morphological method is used to accomplish the image segmentation. This method has been shown effective through experiments.