Citation

Arif, Arif Sameh and Logeswaran, Rajasvaran and Mansor, Sarina and Abdul Karim, Hezerul (2013) Segmentation and compression of pharynx and esophagus fluoroscopic images. In: 2013 IEEE International Conference on Signal and Image Processing Applications (ICSIPA). IEEE Xplore, pp. 220-225. ISBN 978-1-4799-0267-5

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Abstract

Enormous amounts of sequential medical images are produced in modern medical examinations, typically in Fluoroscopy. Although highly effective, such large quantities of images incur a high cost in terms of storage, processing time and transmission. This paper proposes a method for lossless compression of targeted parts within Fluoroscopy images, extracting the region of interest (ROI) - in this case the pharynx and esophagus, and employing customized correlation and the combination of Run Length and Huffman coding, to increase compression efficiency. The experimental results show that the proposed method improved performance with a compression ratio of 300% better than conventional methods.

Item Type:	Book Section
Subjects:	T Technology > TJ Mechanical Engineering and Machinery
Divisions:	Faculty of Engineering (FOE)
Depositing User:	Ms Nurul Iqtiani Ahmad
Date Deposited:	09 Jul 2014 07:05
Last Modified:	23 Aug 2021 10:37
URII:	http://shdl.mmu.edu.my/id/eprint/5609

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