Abstract
We processed the VTR images of the main pancreatic duct which were obtained by using the ultra-thin pancreatoscope applying the sequential video converter for the purpose of clarifying improvement of quality of the images and diagnostic ability. We applied sharpening, smoothing, gray scale transformation, contrast transformation and other ways by means of computed analysis to the VTR images. The results obtained in this study were as follows; 1) sharpening used by the image enhancement of G-component was very useful for improvement of quality of the images, 2) contrast transformation by reduction of R-component and magnification of both G- and B-component was effective for the diagnosis of the redness. These findings suggest that computed analysis is an effective means for improvement of the diagnostic ability in the ultrathin pancreatoscope. In addition, real time image processing is considered to be necessary for more accurate diagnosis, though the above-mentioned results have been studied on the paused images.
