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
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;
Conference_Titel :
Computer Vision and Pattern Recognition, 1991. Proceedings CVPR '91., IEEE Computer Society Conference on
Conference_Location :
Maui, HI
Print_ISBN :
0-8186-2148-6
DOI :
10.1109/CVPR.1991.139788
