An efficient method of estimating edge locations with subpixel accuracy in noisy images

IEEE Region 10 Annual International Conference, Proceedings/TENCON

Volumn 1, Issue , 1999, Pages 589-592

  Kim, Tae Hyeon ^a   Moon, Young Shik ^a   Han, Chang Soo ^b  

^a Department of Computer Science and Engineering ^*  (South Korea)

^b Hanyang University   (South Korea)

Author keywords

[No Author keywords available]

Indexed keywords

LEAST SQUARES APPROXIMATIONS;

ADJACENT PIXELS; DIGITAL IMAGERY; EDGE LOCATION; EDGE OPERATOR; EDGE ORIENTATIONS; LEAST SQUARES ERRORS; MOMENT INVARIANT; SUBPIXEL ACCURACY;

PIXELS;

EID: 84862924153     PISSN: 21593442     EISSN: 21593450     Source Type: Conference Proceeding    
DOI: 10.1109/TENCON.1999.818483     Document Type: Conference Paper

References (5)

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2. A. Huertas and G. Medioni, '"Detection of intensity changes with subpixel accuracy using Lapiacian-Gaussian masks", IEEE Trans. Pattern Anal. Machine Inteli, vol. PAMI-8, no. 5, pp. 188-201, Sept. 1986
3. M. Kisworo, S. Venkatesh and G. West "Modeling edges at subpixel accuracy using the local energy approach", IEEE Trans. Pattern Anal. Machine Inteli, vol. PAMI-16, no. 4, pp. 405-410, Apr. 1994
4. D. H. Ballard and CM. Brown, Computer Vision, Prentice-Hall, 1982
5. N. Otsu, "A threshold selection method from gray-level histograms, " IEEE Trans. SMC, vol. 9, pp. 62-66, 1979