Crop Disease Leaf Image Segmentation Method Based on Color Features
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.
Keywordscrop disease color image segmentation feature extraction color space
- Frank Y. Shih, Shouxian Cheng. Automatic Seeded Region Growing for Color Image Segmentation. Image and Vision Computing 2005, 23(10): 877-886.Google Scholar
- Marcos Cordeiro D’Ornellas, Rein Van Den Boomgaard, Jan-mark Geusebroek. Morphological Algorithms for Color Images Based on a Generic-programming Approach. Anais do XI SIBGRAPI, 1998: 1-8.Google Scholar