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