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Issue No.02 - February (1990 vol.12)
pp: 165-181
ABSTRACT
<p>An improved application of probabilistic relaxation to edge labeling is presented. The improvement derives from the use of a representation of the edge process that is internally consistent and which utilizes a more complex description of edge structure. The application uses a dictionary to represent permitted labelings of the entire context-conveying neighborhood of each pixel. Details are given of the dictionary approach and the related representation of the edge process. A comparison with other edge-postprocessing strategies is provided.</p>
INDEX TERMS
picture processing; pattern recognition; dictionary-based relaxation; probabilistic relaxation; edge labeling; edge structure; pixel; pattern recognition; picture processing; probability
CITATION
E.R. Hancock, J. Kittler, "Edge-Labeling Using Dictionary-Based Relaxation", IEEE Transactions on Pattern Analysis & Machine Intelligence, vol.12, no. 2, pp. 165-181, February 1990, doi:10.1109/34.44403
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