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Laparoscopic Image Region Segmentation Based on Texture Analysis by Regions

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Abstract

In medical images, since there are body region and border that it is hard for medical worker to distinguish by the only image diagnosis, we estimate that the progress of work, time, and emergency are needed. Therefore, it is problem of emergency to develop the medical information system enable to support medical workers by using high performance computer. In this study, first, we carried out texture analysis for region of laparoscopic image. Next, based on results, we experimented whether region segmentation of laparoscopic image is possible or impossible. Finally, we discussed how each texture features are affected to region segmentation.

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... In this paper, for color laparoscopic frame image cut from surgical video under laparoscopy, we carried out processing contrast enhancement using appropriate parameter obtained our previous study. 1,2,4,5 And then, in the case of processing SRCNN by image regions, we discussed comparing among PSNR, SSIM, and texture feature for contrast whether we are able to estimate and divide image regions or not. ...
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... In this paper, for color laparoscopic frame image cut from surgical video under laparoscopy, we carried out processing contrast enhancement using appropriate parameter obtained our previous study [1]- [4]. And then, in the case of processing SRCNN by image regions, we discussed comparing among PSNR, SSIM, and texture feature for contrast whether we are able to estimate and divide image regions or not. ...
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