Color image segmentation method based on statistical pattern recognition for plant disease diagnose

A supervision and sorting technique on the basis of statistical pattern recognition by using color as characteristic space was proposed according to the properties of plant disease image.Real color binarylization segmentation to the color image was carried out through applying Fisher criterion.The experimental result shows that this segmentation method possesses high speed with high accuracy and is effective in plant disease image segmentation and processing.