"基于MATLAB的图像分割算法研究与仿真：原理、仿真结果及界面设计"

With the deepening of informatization, images are increasingly able to demonstrate their powerful information-containing capabilities. Image segmentation is a key step in image analysis and serves as the foundation for further understanding images. Positioned between image processing and image analysis in image engineering, image segmentation is the process of dividing an image into a series of meaningful and distinctive objects or regions. While there are many image segmentation algorithms, there is no universal one at present. This paper reviews threshold segmentation, region growing, split and merge, and edge detection image segmentation algorithms. It first introduces the research significance of image segmentation and the current research status at home and abroad. Then, it explains the basic principles of threshold segmentation, region growing, split and merge, and edge detection image segmentation algorithms, along with their MATLAB simulation results. Lastly, it discusses MATLAB graphical user interface design. The MATLAB simulation results demonstrate that various image segmentation algorithms have their own advantages, disadvantages, and specific application ranges. Therefore, before segmenting an image, it is essential to analyze the image first and then select the appropriate segmentation algorithm in order to achieve satisfactory segmentation results. Keywords: image segmentation; threshold segmentation; region growing; split and merge; edge detection; MATLAB.