Area operators for edge detection

Pattern Recognition Letters

Volumn 21, Issue 8, 2000, Pages 771-777

  Acton, Scott T ^a   Mukherjee, Dipti Prasad ^a  

^a Oklahoma State University   (United States)

Author keywords

Edge detection; Non linear filters; Segmentation

Indexed keywords

IMAGE ANALYSIS; IMAGE CODING; IMAGE ENHANCEMENT; IMAGE QUALITY; IMAGE RECONSTRUCTION; IMAGE SEGMENTATION; NONLINEAR FILTERING;

AREA MORPHOLOGY; AREA OPERATORS; EDGE DETECTOR; EDGE LOCALIZATION; EUCLIDEAN INVARIANT; IMAGE REGION BOUNDARY; NONLINEAR FILTERS;

EDGE DETECTION;

EID: 0033701951     PISSN: 01678655     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0167-8655(00)00036-2     Document Type: Article

References (8)

1. Canny J. A computational approach to edge detection. IEEE Trans. PAMI. 8(6):1986;679-698.
2. Deriche R. Using Canny's criteria to derive a recursively implemented optimal edge detector. Internat. J. Comput. Vision. 1(2):1987;167-187.
3. Jain R., Kasturi R., Schunck B. Machine Vision. 1995;McGraw-Hill, New York.
4. Marr D. Vision. 1982;Freeman, San Francisco.
5. Marr D., Hildreth E. Theory of edge detection. Proc. Roy. Soc. London B. 207:1980;187-217.
6. Salembier P., Serra J. Flat zones filtering, connected operators and filters by reconstruction. IEEE Trans. Image Process. 4(8):1995;1153-1160.
7. Torre V., Poggio T.A. On edge detection. IEEE Trans. PAMI. 8:1986;147-163.
8. Vincent L. Morphological gray scale reconstruction in image analysis: applications and efficient algorithms. IEEE Trans. Image Process. 2(2):1993;176-201.