Application of Multi-Objective Genetic Algorithm in Ceramic Image Segmentation Technology

In ceramic image segmentation technology, the application of multi-objective genetic algorithm can significantly improve the accuracy and efficiency of image segmentation. Genetic algorithm is an optimization algorithm based on biological evolution theory that can be used to solve complex optimization problems, including image segmentation. Through the multi-objective genetic algorithm, multiple targets such as accuracy, stability, and speed of image segmentation can be optimized. First, multi-objective genetic algorithms can automatically identify different regions in ceramic images and classify them according to their characteristics. Secondly, the multi-objective genetic algorithm can adaptively adjust the algorithm parameters according to different application requirements to improve the accuracy and stability of image segmentation. The application of multi-objective genetic algorithm in ceramic image segmentation technology is of great significance, which can improve the quality detection efficiency and accuracy of ceramic products, and provide strong support for the automated production of ceramic industry.