A mobile medical QR-code authentication system and its automatic FICE image evaluation application

Main Article Content

Yi-Ying Chang
Sheng-Lei Yan
Pin-Zhi Lin
Huai-Bin Zhong
Jacques Marescaux
Jenn-Lung Su
Min-Liang Wang
Pei-Yuan Lee

Abstract

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 © 2015 Universidad Nacional Autónoma de México, Centro de Ciencias Aplicadas y Desarrollo Tecnológico. This is an open access item distributed under the Creative Commons CC License BY-NC-ND 4.0.

 

PLUM ANALYTICS

Article Details

How to Cite
Chang, Y.-Y., Yan, S.-L., Lin, P.-Z., Zhong, H.-B., Marescaux, J., Su, J.-L., Wang, M.-L., & Lee, P.-Y. (2015). A mobile medical QR-code authentication system and its automatic FICE image evaluation application. Journal of Applied Research and Technology, 13(2). https://doi.org/10.1016/j.jart.2015.06.020