Analysis and Research of Digital Image Processing Technology Based on Fuzzy Algorithm

As the main content of digital image processing technology, image segmentation plays a positive role in robot vision, imaging target recognition and tracking, image understanding, and so on. Image filtering recovery technology is the main link of digital image preprocessing, and the quality of actual operation determines the accuracy of filtering segmentation. In the process of image formation, it is difficult for people to quickly understand the main situation of information loss during imaging, resulting in ambiguity and similarity in image processing. Fuzzy information processing technology based on fuzzy set theory shows unique advantages in dealing with imprecise knowledge description and fuzzy uncertain events, so this paper mainly discusses how to use fuzzy information processing technology to improve image filtering algorithm and segmentation algorithm. According to the histogram exponential smoothing principle and peak point detection principle, a new image segmentation algorithm is constructed, and the final practice results show that this content can obtain the best segmentation threshold value in meticulous segmentation.