DocumentCode
3312178
Title
Extracting characteristics based on multi-scale space
Author
Ma Jun ; Zhu ShiJie
Author_Institution
Sch. of Safety & Environ. Eng., Capital Univ. of Econ. & Bus., Beijing, China
Volume
4
fYear
2011
fDate
26-28 July 2011
Firstpage
2511
Lastpage
2513
Abstract
The characteristic point carries important information as a characteristic point on the image. This article, in view of the image multi-criterion space method of portrayal, by improving the multi-criterion Harris algorithm, studies the precise locating methods in which the characteristic point can be extracted and the ideal characteristic point can be obtained.
Keywords
image processing; characteristic point; image multicriterion space method; multicriterion Harris algorithm; multiscale space; precision location; Convolution; Data mining; Educational institutions; Error analysis; Feature extraction; Solid modeling; Virtual reality; algorithm; characteristic point; multi-scale space; precision location;
fLanguage
English
Publisher
ieee
Conference_Titel
Fuzzy Systems and Knowledge Discovery (FSKD), 2011 Eighth International Conference on
Conference_Location
Shanghai
Print_ISBN
978-1-61284-180-9
Type
conf
DOI
10.1109/FSKD.2011.6019946
Filename
6019946
Link To Document