Image Segmentation and Extraction Technology for Target Objects

This MATLAB program implements advanced image segmentation and extraction technology for target objects. Specifically, it employs sophisticated algorithms and techniques to accurately detect and recognize license plates. The program processes and analyzes images through several key stages: preprocessing (noise reduction and contrast enhancement), color space conversion (RGB to HSV for better color segmentation), edge detection using Canny or Sobel operators, and morphological operations for region refinement. The core algorithm utilizes thresholding techniques and connected component analysis to isolate license plate regions from the background. The segmentation technology demonstrates exceptional performance in practical applications, enabling rapid and accurate identification and extraction of target objects. The attached program showcases this powerful functionality using license plate detection and recognition as a primary case study. By running this code, users can gain deep insights into the principles and applications of image segmentation and extraction technology, providing valuable reference and inspiration for research and development in related fields. Key MATLAB functions employed include imread for image input, rgb2hsv for color conversion, edge for boundary detection, and regionprops for feature extraction and object classification.