DocumentCode
433035
Title
Blurred image recognition based on complex moment invariants
Author
Tianxu, Zhang ; Jin, Liu
Author_Institution
State Key Lab. of Image Process. & Intelligent Control, Huazhong Univ. of Sci. & Technol., Hubei, China
Volume
3
fYear
2004
fDate
24-27 Oct. 2004
Firstpage
2131
Abstract
An important class of radiometric degradations we are faced with often in practice is image blurring. Special attention is paid to the recognition of the blurred image by moment invariant approach. Some important rules of complex moments for the blurred image are presented. Based on these rules, a useful subset of moment invariants is introduced, that are not affected by the blur, rotation, scale, and translation of the images. The experiments have shown that these invariants can be successfully used in recognition of the blurred image.
Keywords
Gaussian processes; image recognition; image restoration; image blurring; image recognition; image rotation; image scale; image translation; moment invariant approach; radiometric degradation; Biomedical imaging; Cameras; Character recognition; Computer vision; Convolution; Degradation; Image recognition; Layout; Radiometry; Target recognition;
fLanguage
English
Publisher
ieee
Conference_Titel
Image Processing, 2004. ICIP '04. 2004 International Conference on
ISSN
1522-4880
Print_ISBN
0-7803-8554-3
Type
conf
DOI
10.1109/ICIP.2004.1421507
Filename
1421507
Link To Document