Title :
Image representation and compression for capsule endoscope robot
Author :
Hu, Chao ; Meng, Max Q -H ; Liu, Li ; Pan, Yinzi ; Liu, Zhiyong
Author_Institution :
Key Lab. for Biomed. Inf. & Health Eng., CAS, Shenzhen, China
Abstract :
A capsule endoscope robot is a miniature medical instrument for inspecting human gastrointestinal tract. One of the objectives of the capsule endoscope robot is to wirelessly transmit as many captured images as possible, so an efficient representation and compression technique is required. In this paper, we present image representation and compression techniques for the capsule endoscope. First, the characteristics of the capsule endoscopic images are investigated. Secondly, the cartesian, polar coordinate, and expanded square representations of the circular image are discussed. Then special DPCM, wavelet compression techniques are applied to get high compression ratio and signal to noise ratio.
Keywords :
data compression; endoscopes; image representation; medical computing; medical robotics; robot vision; wavelet transforms; capsule endoscope robot; gastrointestinal tract; image compression; image representation; medical instrument miniature; wavelet compression technique; Biomedical imaging; Endoscopes; Gastrointestinal tract; Humans; Image coding; Image representation; Instruments; Medical robotics; Robot kinematics; Signal to noise ratio; DPCM; Wavelet compression; capsule endoscope robot; image;
Conference_Titel :
Information and Automation, 2009. ICIA '09. International Conference on
Conference_Location :
Zhuhai, Macau
Print_ISBN :
978-1-4244-3607-1
Electronic_ISBN :
978-1-4244-3608-8
DOI :
10.1109/ICINFA.2009.5204976
