文档介绍:CVGIP: GRAPHICAL MODELS AND IMAGE PROCESSING
Vol. 53, No. 3, May, pp. 258-268, 1991
Rule-Based Multitemplate Edge Detector’
D. BRZAKOVIC
Department of Electrical and Computer Engineering, University of Tennessee, Knoxville, Tennessee 37996
R. PATTON
I-MATH Associates Inc., . Box 560788, Orlando, Florida 32856
AND
R. L. WANG
Department of Electrical and Computer Engineering, University of Tennessee, Knoxville, Tennessee 37996
Received November 20. 1989; accepted July 20, 1990
Number of edge pixels detected that co-
This paper describes an edge detection algorithm that employs incide with the true edge pixels
Number of detected edge pixels
directional templates of various sizes and rule-based decision Number of true edge pixels
making to assign confidence values to candidate edge pixels. High Quantitative measurements of edge de-
confidence values indicate a high likelihood of pixels being edge tector performance
pixels, while low confidence values are associated with pixels Areas associated with different edge ge-
likely to be noise. Consequently, an edge image is generated by ometries
retaining pixels associated with high confidence values. The per- Threshold values
formance of the al