CAJ | 학술논문

医用X光图像对常规图像增强算法较敏感、易失真，对此提出一种自适应灰度调整及边缘增强的X光图像增强算法。算法依据X光图像直方图中灰度的分布特点，自适应进行单段或双段灰度拉伸，调整灰度范围并均衡灰度分布，在该基础上叠加DFT频域Butterworth高通滤波信号以增强组织的边缘及纹理信息。实验证明，该算法失真率低、可行性高，对医用X光图具有较理想的增晰效果。
의용X광도상대상규도상증강산법교민감、역실진，대차제출일충자괄응회도조정급변연증강적X광도상증강산법。산법의거X광도상직방도중회도적분포특점，자괄응진행단단혹쌍단회도랍신，조정회도범위병균형회도분포，재해기출상첩가DFT빈역Butterworth고통려파신호이증강조직적변연급문리신식。실험증명，해산법실진솔저、가행성고，대의용X광도구유교이상적증석효과。
Aiming at the disadvantage that the X-ray medical images are sensitive and easily cause dis-tortion to normal image enhancement algorithm, a X-ray medical image optimum algorithm based on adaptive grayscale adjustment and edge enhancement is presented. The grayscales are adjusted adaptively within one or two ranges according to the histogram characteristic of X-ray image. And the adjusted image is enhanced by in-creasing the edge and texture signals which are obtained by DFT Butterworth high-pass filter. Experimental re-sults show that the algorithm is feasible and has low distortion, and the enhancement results of X-ray medical image are good.