Medical Image Recognition Implementation

This design requirement implements a medical image recognition process comprising three main modules: image preprocessing, image feature extraction, and classification decision. The preprocessing module performs color-to-grayscale conversion, image binarization, histogram correction, noise removal, and edge enhancement. Feature extraction module processes image characteristics through algorithms that analyze local grayscale variations. The classification module employs discriminant functions and rules to identify targets based on extracted features.