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Optimum Colour Space Selection for Ulcerated Regions using Statistical Analysis and Classification of Ulcerated Frames from WCE Video Footage

Suman, Shipra and Hussin, Fawnizu Azmadi and Nicolas, Walter and Malik, Aamir Saeed and Goh, Khean Lee and Hilmi, Ida and Ho, Shaiw Hooi (2015) Optimum Colour Space Selection for Ulcerated Regions using Statistical Analysis and Classification of Ulcerated Frames from WCE Video Footage. In: 22nd International Conference on Neural Information Processing (ICONIP2015), November 9-12, 2015, Istanbul, Turkey.

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Abstract

The Wireless Capsule Endoscopy (WCE) is a painless and non-invasive procedure that allows clinicians to visualize the entire Gastrointestinal Tract (GIT) and detect various abnormalities. During the inspection of GIT, numerous images are acquired at a rate of approximately 2 frames per second (fps) and recorded into a video footage (containing about 55,000 images). Inspecting the WCE video is very tedious and time consuming for the doctors, resulting in limited application of WCE. Therefore, it is crucial to develop a computer aided intelligent algorithm to process the huge number of WCE frames. This paper proposes an ulcerated frame detection method based on RGB and CIE Lab colour spaces. In order to select and provide the classifier with the bands containing most ulcer information, a statistical analysis of ulcerated images pixel based is proposed. The resulting band selection will enhance the classification results and increase the sensitivity and specificity with regards to ulcerated frame identification.

Item Type:Conference or Workshop Item (Paper)
Academic Subject One:Academic Department - Electrical And Electronics - Pervasisve Systems - Digital Electronics - Programmable Devices
Departments / MOR / COE:Centre of Excellence > Center for Intelligent Signal and Imaging Research
ID Code:11960
Deposited By: Dr Fawnizu Azmadi Hussin
Deposited On:07 Oct 2016 01:42
Last Modified:19 Jan 2017 08:20

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