Research on Image Texture Feature Recognition Method based on Rotation Invariant Histogram

Abstract

The traditional image texture feature recognition method is deeply affected by the complexity of the image background and the amount of noise, resulting in a low recognition rate. To solve the above problems, an image texture feature recognition method based on rotation invariant histogram is proposed. After denoising the image to be recognized, the image texture feature is extracted and the image feature texture set is established. After the rotation invariant region of the image histogram is selected, the classifier is used to recognize the image texture features. Design a comparative experiment with the current recognition method. The experimental results show that the research method can improve the recognition accuracy by about 12.9%, and the recognition time is short and reliable.