A quantitative line-scan image analysis method for colonoscopy diagnosis using FICE

Wang, Min-Liang; Lin, Pin-Zhi; Yan, Sheng-Lei

doi:10.1109/ispacs.2012.6473455

Cited by 1 publication

(1 citation statement)

References 18 publications

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“…Their findings are that the image enhancement outperforms other filter-based enhancement methods on noisy images. Our enhanced technique is based on the contrast value extended line-scan method (Wang et al, 2012) to develop an adaptive image enhancement technique. This paper was inspired by Masahito et al (2009) and Wang et al (2012) to develop a convenient enhanced method for adaptive and quick image contrast enhancement of the mucosa and polyp area.…”

Section: Related Workmentioning

confidence: 99%

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

Chang

Yan

Lin³

et al. 2015

Journal of Applied Research and Technology

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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

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Section: Related Workmentioning

confidence: 99%