General Research on Automatic Image Shrinking in the Wireless Capsule Endoscopy

Автор: Zhukov Igor, Fedorov Evgeny, Mikhaylov Dmitry, Ivanova Ekaterina, Kukushkin Alexander, Starikovski Andrey, Tolstaya Anastasia

Журнал: International Journal of Image, Graphics and Signal Processing(IJIGSP) @ijigsp

Статья в выпуске: 3 vol.4, 2012 года.

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In this paper we propose a method of image shrinking without loss of the quality with regard to a modern field in medical research - wireless capsule endoscopy. The wireless capsule is a small devise with a size of 1,5x2 cm. That means that the memory chip on which the results of the examination of the gastrointestinal tract are stored should also be tiny. The scope of the device imposes strict restrictions on the shrinking scheme that should be taken into consideration. This article gives a brief overview of existing data shrinking methods and their application possibilities, namely triplets coding of binary combinations, conversion combination MTF (move-to-front) and Rice coding. Taking into consideration the specificity of application the more promising is the third way of image shifting without loss. This method is based on modified shrinking algorithms mentioned above. According to the carried out experiments the overall scheme of the device was developed. This scheme implements the most efficient method of coding. The described algorithm allows image shrinking on 20%. That means that endoscopic capsule may work significantly longer.

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Image shrinking, capsule, triplets coding, Rice coding, gastrointestinal tract, scheme

Короткий адрес: https://sciup.org/15012248

IDR: 15012248

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