Fu J C, Lien H C, Wong S T
Automated Measurement and Diagnostic Systems Laboratory, Department of Industrial Engineering, Da-Yeh University, Taiwan, ROC.
Comput Med Imaging Graph. 2000 Mar-Apr;24(2):59-68. doi: 10.1016/s0895-6111(00)00007-0.
The gray levels of gastric sonogram images are usually concentrated at the zero end of the spectrum, making the image too low in contrast and too dark for the naked eye. Though histogram equalization can enhance the contrast by redistributing the gray levels, it has the drawback that it reduces the information in the processed image. In this paper, a wavelet-based enhancement algorithm post-processor is used to further enhance the image and compensate for the information loss during histogram equalization. Experimental results show that the wavelet-based enhancement algorithm can enhance the contrast and significantly increase the informational entropy of the image. Because the combination of the histogram equalization and wavelet approach can dramatically increase the contrast and maintain information rate in gastric sonograms, it has the potential to improve clinical diagnosis and research.
胃部超声图像的灰度级通常集中在频谱的零端，使得图像对比度太低，肉眼看起来太暗。尽管直方图均衡化可以通过重新分配灰度级来增强对比度，但它有一个缺点，即会减少处理后图像中的信息。在本文中，使用基于小波的增强算法后处理器来进一步增强图像，并补偿直方图均衡化过程中的信息损失。实验结果表明，基于小波的增强算法可以增强对比度，并显著提高图像的信息熵。由于直方图均衡化和小波方法的结合可以显著提高胃部超声图的对比度并保持信息率，因此它有改善临床诊断和研究的潜力。
