Issue No. 02 - February (1990 vol. 12)
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/34.44403
<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>
picture processing; pattern recognition; dictionary-based relaxation; probabilistic relaxation; edge labeling; edge structure; pixel; pattern recognition; picture processing; probability
J. Kittler and E. Hancock, "Edge-Labeling Using Dictionary-Based Relaxation," in IEEE Transactions on Pattern Analysis & Machine Intelligence, vol. 12, no. , pp. 165-181, 1990.