基于免疫遗传算法的道路交通标志图像分割

针对道路交通标志图像分割的问题,提出了一种基于免疫遗传算法的实现方法。该算法利用免疫遗传机制,将图像的最佳阈值作为要求的解,设计了适合问题求解的抗体编码方式、克隆算子和免疫选择算子。仿真实验结果表明,所提算法能够有效地求得道路交通标志问题的最佳阈值。通过与传统遗传算法、改进遗传算法进行对比实验,更好地说明了本算法能够对图像分割得到较为满意的结果。

ROAD TRAFFIC SIGN IMAGE SEGMENTATION BASED ON IMMUNE GENETIC ALGORITHM

To solve the problem in road traffic sign image segmentation, a image segmentation based on immune genetic algorithm was proposed. The algorithm used immune genetic mechanism and took the optimal threshold value of the image as the requirements of the solution. Antibody coding, cloning operator and immune selection operator that are suitable for solving the problem were design. The simulation results show that the proposed algorithm can effectively get the optimal threshold in the problem of road traffic signs. By comparing with the traditional genetic algorithm and the improved genetic algorithm, it better illustrates that the algorithm can obtain a satisfactory result for image segmentation.