Research on Texture Trait Extraction Algorithm of Folk Art Patterns Based on Computer Image Recognition
Yueting Zhang, Qian Zhao · 2022 International Conference on Artificial Intelligence and Autonomous Robot Systems (AIARS) · 2022
As a basic property of object surface, texture is broadly used in image analysis because it can well characterize the image. Texture is the most vital way of visual perception and a main way for humans to distinguish various objects. In the past few days, it has become a study hotspot in the domain of image conduct. As a carrier of message, image has the characteristics of intuition, large amount of message, and convenient communication between various countries. It is an vital part of network multimedia. Text-based image retrieval is the basis of content-based image retrieval. It is difficult to imagine the workload of manually interpreting image message, and its feasibility is also questionable. The means used in this article is computer image recognition, which uses visual sensors to replace human vision, receives external visual signals through visual sensors, converts the signals into visual images, and then processes the images to obtain message of interest that is similar to human visual perception. . The study in this article shows that the algorithm in this article can achieve a higher recognition ratio when the trait dimension is low. The recognition ratio of the means in this article is higher than that of the traditional algorithm.