Research on Intelligent Image Recognition Algorithm of Phlebitis Ointment Combined with Instrument Detection in Treatment

This paper mainly studies the medical image feature extraction and multi-feature fusion algorithm and its application in recognition and classification. Based on the analysis of CT images of patients with phlebitis, the area ratio is proposed as the classification feature according to the characteristics of the lesions. Then, an improved iterative thresholding image segmentation algorithm based on the ratio of foreground to background is proposed, and the classification features are extracted based on the segmentation, and the threshold segmentation image is fused with the edge detection image to obtain the image with rich details and smooth edge which is easy to be described by computer. On the basis of segmentation, classification features are extracted and SVM is selected to classify CT images. Finally, through the experimental verification, using these two characteristics we can achieve a better classification effect, combined with the paste treatment for the diagnosis and treatment of phlebitis disease at the same time, which shows considerable practical value.