DocumentCode :
2404043
Title :
Smoothness processing of infrared image based on AMSS
Author :
Li, Ying ; Sun, Yunyan ; He, Renjie ; Rao, Liyun ; Peng, Chuan ; Xu, Guizhi ; Guo, Lei ; Shen, Xueqin ; Yan, Weili
Author_Institution :
Province-Minist. Joint Key Lab. of Electromagn. Field & Electr. Apparatus Reliability, Hebei Univ. of Technol., Tianjin, China
fYear :
2009
fDate :
3-6 Sept. 2009
Firstpage :
1420
Lastpage :
1423
Abstract :
The Infrared images have been applied in clinical diagnoses, but the images are noisy and blurred. Therefore the smooth processing that can keep edges is needed. Traditional smoothing methods have the common defect that they smooth not only the noise region but also the edges. AMSS (affine morphological scale space) algorithm can be used to better save the edge information, it has the Partial Differential Equation that is of morphological affine invariability and contrast invariability. The smooth processing method based on AMSS is introduced to handle the infrared image in this paper, and the better performance is obtained.
Keywords :
biomedical optical imaging; infrared imaging; medical image processing; partial differential equations; smoothing methods; AMSS algorithm; affine morphological scale space algorithm; blurred images; clinical diagnosis; edge information; infrared image; morphological affine invariability; noisy images; partial differential equation; smoothness processing method; Adult; Algorithms; Biomedical Engineering; Humans; Image Processing, Computer-Assisted; Infrared Rays; Male; Skin Temperature;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Engineering in Medicine and Biology Society, 2009. EMBC 2009. Annual International Conference of the IEEE
Conference_Location :
Minneapolis, MN
ISSN :
1557-170X
Print_ISBN :
978-1-4244-3296-7
Electronic_ISBN :
1557-170X
Type :
conf
DOI :
10.1109/IEMBS.2009.5334172
Filename :
5334172
Link To Document :
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