"基于MATLAB的图像分割算法研究与仿真"

Based on the document "Research and Simulation of Image Segmentation Algorithm Based on MATLAB - Graduation Thesis.doc", this paper provides a comprehensive overview and analysis of image segmentation algorithms using MATLAB. Image segmentation is a critical step in image analysis and understanding, as it allows for the extraction of meaningful and distinct features from an image. The research conducted in this paper evaluates various image segmentation algorithms, including threshold segmentation, region growing, split and merge, and edge detection. The significance and current research status of image segmentation are first introduced, followed by a detailed explanation of the fundamental principles and MATLAB simulation results of each algorithm. Furthermore, the paper also covers the design of MATLAB graphical user interface. The simulation results demonstrate that each image segmentation algorithm has its own advantages and limitations, as well as specific application scopes. Therefore, it is essential to analyze the image and select an appropriate segmentation algorithm in order to achieve satisfactory segmentation results. In conclusion, this paper provides valuable insights into the research and simulation of image segmentation algorithms using MATLAB, offering guidance for practitioners in selecting the most suitable algorithm for a given image segmentation task. Keywords: image segmentation; threshold segmentation; region growing; split and merge; edge detection; MATLAB.