A Study on Edge Marking Scheme of Various Standard Edge Detectors
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10.5120/6294-8491 |
Shaifali Pande, Vivek Singh Bhadouria and Dibyendu Ghoshal. Article: A Study on Edge Marking Scheme of Various Standard Edge Detectors. International Journal of Computer Applications 44(9):33-37, April 2012. Full text available. BibTeX
@article{key:article,
author = {Shaifali Pande and Vivek Singh Bhadouria and Dibyendu Ghoshal},
title = {Article: A Study on Edge Marking Scheme of Various Standard Edge Detectors},
journal = {International Journal of Computer Applications},
year = {2012},
volume = {44},
number = {9},
pages = {33-37},
month = {April},
note = {Full text available}
}
Abstract
This paper presents a study on edge marking scheme of various standard edge detectors viz. Sobel, Prewitt, Roberts, Laplacian of Gaussian (LoG) and Canny. On the basis of edge map obtained for a synthetic rectangular board image, obtained from five edge detectors, suggests classifying the detectors in three categories namely, pre-marker, post-marker and mixed-marker. Pratt's figure of merit (PFOM) is used as a quantitative evaluation criterion for the above mentioned classification. Experimental results obtained for Lena and Parrot image provides convincing results to establish proposed classification.
References
- Frei, W. and Chen, C. 1977. Fast Boundary Detection: A Generalization and New Algorithm. IEEE Trans. Computers C-26 (October 1977), 988-998.
- Gonzalez, R. C. and Woods, R. E. 2002. Digital Image Processing. Second ed. Pearson. Singapore.
- Pratt, W. K. 1978. Digital Image Processing. Wiley. New York.
- Roberts, L. G. 1965. Machine Perception of Three-Dimensional Solids. Optical and Electro-Optical Information Processing. Tippet. J. T. (ed. ) MIT Press, Cambridge, Mass.
- Canny, J. 1986. A Computational Approach for Edge Detection. IEEE Trans. Pattern Anal. Machine Intell. 8(6), 679-698.
- Canny, J. 1983 Finding Edges and Lines in Image. Master's thesis. MIT.
- Maini, R. and Aggarwal, 2009. H. Study and Comparison of Various Image Edge Detection Techniques. Inter. Journal of Image Processing. 3(1). 1-11.
- Gunn, S. R. 1998. Edge Detection Error in the Discrete Laplacian of Gaussian. Proc. 1988 Inter. Conference on Image Processing. 2, 515-519.
- Gunn, S. R. 1999. On the Discrete Representation of the Laplacian of Gaussian. Pattern Recognition. 32(8). 1463-1472.
- Prewitt, J. M. S. 1970. Object Enhancement and Extraction. Picture Processing and Psychopictorics, Lipkin, B. S. and Rosenfeld, A. (Eds. ). Academic Press, New York.
- Heath, M. , Sarkar, S. , Sanocki, T. and Bowyer, K. W. 1998. Comparison of Edge Detectors: A Methodology and Initial Study. Computer Vision and Image Understanding, 69(1), 38-54.
- Abdou, I. E. and Pratt, W. K. 1979. Quantitative design and evaluation of enhancement/thresholding edge detectors. Proc. of the IEEE. 67(5). 753-763.