CAJ | 학술논문

针对传统医学图像增强效果不理想、边界模糊不清、不利于病情诊断等问题，提出了一种改进的医学图像增强算法。首先创建一个适合的隶属度函数实现图像由时域到变换域的变换，通过迭代方法加强变换域的细节成分，最后通过模糊逆变换得到增强后的时域图像。采用的适合隶属度函数，增强了图像效果，使图像细节更清晰。实验表明，采用模糊方法比传统的几种方法可以更有效抑制噪声，提取医学图像中的有用信息，更加有利于病情的诊断。
침대전통의학도상증강효과불이상、변계모호불청、불리우병정진단등문제，제출료일충개진적의학도상증강산법。수선창건일개괄합적대속도함수실현도상유시역도변환역적변환，통과질대방법가강변환역적세절성분，최후통과모호역변환득도증강후적시역도상。채용적괄합대속도함수，증강료도상효과，사도상세절경청석。실험표명，채용모호방법비전통적궤충방법가이경유효억제조성，제취의학도상중적유용신식，경가유리우병정적진단。
According to the shortcomings of traditional algorithm used to medical images,such as undesirable enhancement effect,unclear fuzzy boundary and disbenefit to diagnosis,an improved medical image fuzzy-enhancement algorithm is proposed. An appropriate subordinating degree function is created to achieve the image transform from time domain to transform domain. The nonlinear iterative method is used to enhance the detail composition in the transform domain. The enhanced time-domain image is obtained through the fuzzy inverse transform. The appropriate subordinating degree function can enhance image effect and make the image detail more clear. Experimental results show that the fuzzy enhancement method can suppress noise more ef-fectively,extract more useful information in medical images and is more beneficial to diagnosis in comparison with traditional methods.