2020 Vol.3 Apr. No.2

• Title: Research on global enhancement algorithm of X-ray image in medical device ultrasonic image classification
• Name: Wang Chao
• Company: Fujian Normal University
• Abstract:

  The current global enhancement algorithm for medical X-ray image has the problems of poor denoising and enhancement effect and low reduction of the enhanced medical X-ray image. To address the problems, a global enhancement algorithm for X-ray image in medical image classification is proposed in this paper. The medical X-ray image is gray scaled, which provides the basis for the further processing of the image. The noise in medical X-ray image is removed by using multi-wavelet transform to improve the enhancement effect of the method. According to the curvelet domain, the medical X-ray image is enhanced, the reduction degree of medical X-ray image is improved and the global enhancement of the medical X-ray image is completed. Experimental results show that the denoising effect of the proposed method is good, the enhanced medical X ray image is better, and the reduction degree of medical X-ray image is high.

• Keyword: medical image, X-ray image, image enhancement
• DOI: 10.12250/jpciams2020020215
• Citation form: Wang Chao.Research on global enhancement algorithm of X-ray image in medical device ultrasonic image classification[J]. Computer Informatization and Mechanical System, 2020, vol. 3, pp. 98-107.

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