Skeleton Extraction from Color Images

This program code can extract skeletons from color images and includes image demonstration results, making it straightforward to understand. The implementation works by analyzing pixel connectivity relationships within the image, along with pixel brightness and color information, to determine the skeleton structure of the image. The algorithm typically involves color space conversion (such as transforming RGB to grayscale or other color spaces), followed by morphological operations like thinning or distance transform techniques to extract the central axes of shapes. By extracting the image skeleton, users can better understand the shapes and structures within the image, providing a foundation for subsequent image processing and analysis tasks. The demonstration results visually showcase the program's effectiveness, allowing users to more easily comprehend and utilize the functionality. In summary, this program code not only achieves color image skeleton extraction but also provides visual demonstration results, enabling users to understand its effects through simple, intuitive examples.