DocumentCode
2842527
Title
An Improved Image Signature Based on ICM Combined with SRIC
Author
Fanfeng, Meng ; Fanjiang, Meng
Author_Institution
Dept. of Comput. Sci., Northeast Agric. Univ., Harbin, China
Volume
1
fYear
2010
fDate
13-14 Oct. 2010
Firstpage
45
Lastpage
50
Abstract
An improved image signature is proposed and extracted. Firstly, a color information based ICM(Intersecting Cortical Model) image signature is presented. Then a new object feature named SRIC(Silhouette Rotate Interceptive Curve) is described. After these researches, a more distinguishable image signature algorithm based on ICM combined with SRIC is proposed and realized. The Contrast experimentation results show that the distinguishability of the proposed image signature feature is better than the original image signature, and has higher process speed, lower computation complexity. It can be used as a characteristic of video object for identification in practical real-time applications.
Keywords
computational complexity; feature extraction; image colour analysis; SRIC; color information based ICM; computation complexity; contrast experimentation; image signature; intersecting cortical model; silhouette rotate interceptive curve; video object; Algorithm design and analysis; Colored noise; Data mining; Feature extraction; Image color analysis; Image edge detection; Neurons; image signature; projective length curve; projective silhouette;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent System Design and Engineering Application (ISDEA), 2010 International Conference on
Conference_Location
Changsha
Print_ISBN
978-1-4244-8333-4
Type
conf
DOI
10.1109/ISDEA.2010.431
Filename
5743126
Link To Document