The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
An application of heuristic search methods to edge and contour detection
Open accessAbstract
This paper presents a method for detecting edges and contours in noisy pictures. The properties of an edge are embedded in a figure of merit and the edge detection problem becomes the problem of minimizing the given figure of merit. This problem can be represented as a shortest path problem on a graph and can be solved using well-known graph search algorithms. The relations between this representation of the minimization problem and a dynamic programming approach are discussed, showing that the graph search method can lead to substantial improvements in computing time. Moreover, if heuristic search methods are used, the computing time will depend on the amount of noise in the picture. Some experimental results are given; these show how various information about the shape of the contour of an object can be embedded in the figure of merit, thus allowing the extraction of contours from noisy pictures and the separation of touching objects.
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Citations
Cites
Bellman, R. E. (2010) · doi:10.1515/9781400835386 · Cited by 14,588
A Formal Basis for the Heuristic Determination of Minimum Cost Paths
Hart, P., Nilsson, N., & Raphael, B. (1968) · IEEE Transactions on Systems Science and Cybernetics · doi:10.1109/tssc.1968.300136 · Cited by 12,738
The Representation and Matching of Pictorial Structures
Fischler, M. A., & Elschlager, R. A. (1973) · IEEE Transactions on Computers · doi:10.1109/t-c.1973.223602 · Cited by 1,322
Cited by
Kass, M., Witkin, A., & Terzopoulos, D. (1988) · International Journal of Computer Vision · doi:10.1007/bf00133570 · Cited by 17,070
A survey on image segmentation
Fu, K. S., & Mui, J. K. (1981) · Pattern Recognition · doi:10.1016/0031-3203(81)90028-5 · Cited by 1,203
Optimal Surface Segmentation in Volumetric Images-A Graph-Theoretic Approach
Li, K., Wu, X., Chen, D. Z., & Sonka, M. (2006) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2006.19 · Cited by 664
The image foresting transform: theory, algorithms, and applications
Falcao, A. X., Stolfi, J., & de Alencar Lotufo, R. (2004) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2004.1261076 · Cited by 614
Trace inference, curvature consistency, and curve detection
Parent, P., & Zucker, S. W. (1989) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/34.31445 · Cited by 484
Metadata
- Authors
- Martelli, A.
- Venue
- Communications of the ACM
- Published
- 1976-02
- Volume
- 19
- Issue
- 2
- Pages
- 73-83
- ISSN
- 0001-0782 (ISSN-L)
- 1557-7317
- OpenAlex
- W2003750906
- Cited by
- 258
- References
- 3
- FWCI
- 7.70
- Type
- journal article
- Language
- en
- Open access
- bronze
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- Martelli, A. (1976). An application of heuristic search methods to edge and contour detection. Communications of the ACM. https://doi.org/10.1145/359997.360004
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
