"MATLAB图像分割算法研究与仿真：原理、应用与评估"

With the deepening of informationization, the power of image as a carrier of abundant information is increasingly highlighted. Image segmentation is a key step in image analysis and the foundation for further understanding of images. It lies between image processing and image analysis in image engineering. Image segmentation is the process of dividing an image into a series of meaningful, feature-rich objects or regions. Although there are many image segmentation algorithms, there is still no universal one yet. This thesis reviews threshold segmentation, region growing, split-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-merge, and edge detection image segmentation algorithms, along with their MATLAB simulation results. Lastly, it discusses MATLAB GUI design. The MATLAB simulation results show that each image segmentation algorithm has its own advantages, disadvantages, and range of applicability. Therefore, before segmenting an image, it is essential to analyze the image and choose the appropriate segmentation algorithm to achieve satisfactory results. Keywords: image segmentation; threshold segmentation; region growing; split-merge; edge detection; MATLAB.