DocumentCode
2619143
Title
Object detection using contrast based scale-space
Author
Topkar, V.A. ; Sood, A.K. ; Kjell, B.
Author_Institution
Dept. of Comput. Sci., George Mason Univ., Fairfax, VA, USA
fYear
1991
fDate
3-6 Jun 1991
Firstpage
700
Lastpage
701
Abstract
The authors propose four scale-space object detection algorithms for separating objects from the background. These algorithms do not need thresholding at any of the scales. The different algorithms are applicable to images with different noise and clutter characteristics. Statistical analysis of the four algorithms is conducted for noisy and cluttered backgrounds
Keywords
pattern recognition; picture processing; clutter characteristics; contrast based scale-space; edge focusing; noise; scale-space object detection; statistical analysis; Additive noise; Background noise; Colored noise; Computer science; Contracts; Filters; Laplace equations; Object detection; Pulse generation; Statistical analysis;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Vision and Pattern Recognition, 1991. Proceedings CVPR '91., IEEE Computer Society Conference on
Conference_Location
Maui, HI
ISSN
1063-6919
Print_ISBN
0-8186-2148-6
Type
conf
DOI
10.1109/CVPR.1991.139788
Filename
139788
Link To Document