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Javier Varona, & Juan J. Villanueva. (1997). NeuroFilters: Neural Networks for image Processing..
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J.R. Serra, & J.B. Subirana. (1997). Adaptive non-cartesian networks for vision..
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J.R. Serra, A. Martinez, Jordi Vitria, & J.B. Subirana. (1997). Iconic Representation to Image Retrieval..
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J. Weickert, Bart M. Ter Haar Romeny, Antonio Lopez, & W. Van Enk. (1997). Orientation Analysis by Coherence-Enhancing Diffusion..
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Gemma Sanchez, Josep Llados, & Enric Marti. (1997). A string-based method to recognize symbols and structural textures in architectural plans. In 2nd IAPR Workshop on Graphics Recognition.
Abstract: This paper deals with the recognition of symbols and struc- tural textures in architectural plans using string matching techniques. A plan is represented by an attributed graph whose nodes represent characteristic points and whose edges represent segments. Symbols and textures can be seen as a set of regions, i.e. closed loops in the graph, with a particular arrangement. The search for a symbol involves a graph matching between the regions of a model graph and the regions of the graph representing the document. Discriminating a texture means a clus- tering of neighbouring regions of this graph. Both procedures involve a similarity measure between graph regions. A string codification is used to represent the sequence of outlining edges of a region. Thus, the simila- rity between two regions is defined in terms of the string edit distance between their boundary strings. The use of string matching allows the recognition method to work also under presence of distortion.
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Gemma Sanchez, Josep Llados, & Enric Marti. (1997). Segmentation and analysis of linial texture in plans. In Intelligence Artificielle et Complexité.. Paris.
Abstract: The problem of texture segmentation and interpretation is one of the main concerns in the field of document analysis. Graphical documents often contain areas characterized by a structural texture whose recognition allows both the document understanding, and its storage in a more compact way. In this work, we focus on structural linial textures of regular repetition contained in plan documents. Starting from an atributed graph which represents the vectorized input image, we develop a method to segment textured areas and recognize their placement rules. We wish to emphasize that the searched textures do not follow a predefined pattern. Minimal closed loops of the input graph are computed, and then hierarchically clustered. In this hierarchical clustering, a distance function between two closed loops is defined in terms of their areas difference and boundary resemblance computed by a string matching procedure. Finally it is noted that, when the texture consists of isolated primitive elements, the same method can be used after computing a Voronoi Tesselation of the input graph.
Keywords: Structural Texture, Voronoi, Hierarchical Clustering, String Matching.
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Ernest Valveny, & Enric Marti. (1997). Dimensions analysis in hand-drawn architectural drawings. In VII National Simposium of Pattern Recognition and image Analysis, SNRFAI´97 (pp. 90–91). CVC-UAB.
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David Lloret, Antonio Lopez, & Joan Serrat. (1997). Rigid Registration of CT and MR volumes based on Rothes creases.
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Craig Von Land, V. Lashin, A. Oriol, & Juan J. Villanueva. (1997). Object-oriented Design of the DICOM Standard and its Application to Cardiovascular Imaging..
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Craig Von Land, Ricardo Toledo, & Juan J. Villanueva. (1997). TeleRegions: Application of Telematics in Cardiac Care..
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Antonio Lopez, & Joan Serrat. (1997). Ridge/Valley-like structures: Creases, separatrices and drainage patterns.
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Antonio Lopez, Felipe Lumbreras, & Joan Serrat. (1997). Efficient computation of local creaseness. CVC, Bellaterra (Spain).
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Antonio Lopez, Felipe Lumbreras, A. Martinez, Joan Serrat, Xavier Roca, Javier Varona, et al. (1997). Aplicaciones de la vision por computador a la industria..
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Antonio Lopez. (1997). Ridge/Valley-like structures: Creases, separatrices and drainage patterns.
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A. Sanfeliu, Juan J. Villanueva, & Jordi Vitria. (1997). Image Analysis and Pattern Recognition..
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