Title :
The influence of object size on the regions of interest for edge detection-preliminary results
Author_Institution :
Dept. of Comput. Sci., State Univ. of New York, Buffalo, NY, USA
fDate :
30 Aug-3 Sep 1992
Abstract :
Presents preliminary results from an investigation of edge detection with a principal components analysis. In this way the parameters of an edge detector can be derived from data about edges in images. The preliminary investigations study how the optimal region of interest varies with the size of objects in the image
Keywords :
edge detection; edge detection; image processing; image recognition; object size; regions of interest; Computer science; Covariance matrix; Detectors; Image edge detection; Image sampling; Nonlinear optics; Object detection; Pixel; Statistics; Testing;
Conference_Titel :
Pattern Recognition, 1992. Vol.III. Conference C: Image, Speech and Signal Analysis, Proceedings., 11th IAPR International Conference on
Conference_Location :
The Hague
Print_ISBN :
0-8186-2920-7
DOI :
10.1109/ICPR.1992.201983