DocumentCode
1109530
Title
Edge detection using the linear model
Author
Kay, Steven M. ; Lemay, Gerald J.
Author_Institution
University of Rhode Island, Kingston, RI, USA
Volume
34
Issue
5
fYear
1986
fDate
10/1/1986 12:00:00 AM
Firstpage
1221
Lastpage
1227
Abstract
An edge detector based on the linear model is developed which utilizes the generalized likelihood ratio for statistical hypothesis testing. The detector is invariant to multiplicative changes in the gray-scale values of the image. Hence, thresholding based histogram segmentation is not required. The performance of this detector is analytically and experimentally compared to that of a gradient operator (Sobel) and is shown to have only a slightly poorer detection rate for a given false alarm rate.
Keywords
Detectors; Filtering; Helium; Histograms; Image edge detection; Image processing; Image segmentation; Machine vision; Performance analysis; Testing;
fLanguage
English
Journal_Title
Acoustics, Speech and Signal Processing, IEEE Transactions on
Publisher
ieee
ISSN
0096-3518
Type
jour
DOI
10.1109/TASSP.1986.1164941
Filename
1164941
Link To Document