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[Study on the computer-assisted real-time diagnosis for micro-focus of esophagus based on the change of region-gradation].

This study was aimed at assessing the effectiveness of Computer-assisted real-time diagnosis for micro-focus of esophagus. Two algorithms, the hues and saturation average of region-gradation (HSARG) and the wave-frequency integral of gradation (WFIG), based on the region-gradation change, were used to analyze the collected images of esophagus by quick, real-time processing. The results show that the image processing software based on the two algorithms mentioned above is effective in some degree for discriminating normal mucosa from the pathological changes of the esophagus such as esophagitis, early carcinoma of esophagus, middle-late carcinoma of esophagus, and atypical hyperplasia of esophagus. So the software may be used as a kind of auxiliary diagnostic measure to screen out the pathological changes of esophagus at clinic effectively.