基于免疫遗传小波分析的管道焊缝图像处理方法

针对难以实现管道焊缝图像信息准确提取的问题,利用免疫遗传算法优化小波系数,将小波变换与免疫遗传算法引入焊缝图像的处理过程,采用相似性距离分析传统小波、Canny算法、免疫遗传小波等算法优劣性.结果表明:该算法能够有效地抑制噪声干扰,去除图像边缘中的伪影,从而较好地实现图像边缘信息的清晰与细化,体现遗传小波变换算法在精确定位与抗噪声能力上的优越性.

Pipeline weld image processing method based on immune genetic algorithm and wavelet analysis

It is difficult to realize the accurate extraction of weld image information in the petroleum pipeline at present.In view of the problem,this paper introduces wavelet transform and immune genetic algorithm to the treating process of weld image according to the immune genetic algorithm to optimize wavelet coefficient,meanwhile it uses similarity distance to quantitative analysis traditional wavelet,Canny algorithm and immune genetic algorithm's quality,according to the calculation and comparison of similarity distance,we can draw a conclusion:this algorithm can realize the clarity and refining of image border better and reflect the superiority of genetic wavelet transform algorithm's ability in the accurate positioning and anti-noise adequately.