This paper presents an adaptive imaging technique run on a mobile service system for endoscopic image enhancement by using color transform and Gray Level Co-occurrence Matrices (GLCM) for a single input endoscopy image. The method is simply deal with the color image channels combination which chose the maximum scalar values of red, green and blue channel images, respectively. The GLCM subsequently applied for selecting the highest contrast and entropy images of the expanding image series. The enhanced endoscopy image is generated by fusing of the color, contrast and entropy images. We also proposed a service system with medical image retrieval application via quick response code authentication based on the Android operating system, which helps clinicians convenient in using mobile phone and reviewing images of the patient with cost efficiency. For the mobile technologies are growing rapidly, the mobile service system is installed to connect a Picture Archive and Communication Systems (PACS) system in hospital and applied for automatic evaluation of colon images screening. The experimental results show the proposed system is efficient for observing gastrointestinal tract polyp. The performance is evaluated and compared with Fujinon intelligent chromo endoscopy enhanced method. All Rights Reserved

This paper presents a novel endoscopic image enhancement method by ranking a set of varying images which generated by the controlling factors using a single input image. We adopt the YUV color space for expanding a set of images due to the color space has components representing luminance, saturation, and hue. Therefore, rely on the edge energy of the cropped image area, and ranking of expanding images set from a single input image. The method only deal with the channels combination which chose the maximum scalar values of red, green and blue channel images, respectively. The experimental results show the proposed method is efficient for observing colon polyp.

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