Clinical Medical Image Analysis based on Computer Image Processing Technology

Xiaolei Han, Wenming Xu

Department of Medical College, Shaanxi Energy Institute, Xianyang, 712000, China

Abstract: Clinical medical image analysis is helpful to find the best treatment method for clinical treatment. The existing methods ignore the calculation of discrete error of fractional equation, which can not effectively solve the uneven distribution of noise in three classes of images, which leads to poor effect of image en-hancement, A new method of clinical medical image analysis based on computer image processing technolo-gy is proposed. The image was preprocessed and pathological region was marked by the coordinate of the re-gional points manually marked by clinical medical images. By using computer image processing technology, different fractional differential image enhancement templates are constructed, and the enhanced images are obtained by convolution. A sequential model of self-step support vector machine is established to segment the enhanced image and enhance the effect of image adhesion removal. After preprocessing, image enhancement and region segmentation, we can get the good quality clinical medical image samples, and then carry out the automatic detection of diseases. The experimental results show that the design method in this paper is higher than the existing method in the evaluation index of contrast noise ratio, and can achieve a certain de-noising effect in image enhancement, and has excellent performance in the visual effect of contrast of clinical medical images, and has good practical application effect.

Keywords: Computer image processing technology; Clinical medicine; Medical imaging; Image analysis