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Antonio Lopez, Joan Serrat, Cristina Cañero, & Felipe Lumbreras. (2007). Robust Lane Lines Detection and Quantitative Assessment. In J. Marti et al (Ed.), 3rd Iberian Conference on Pattern Recognition and Image Analysis (Vol. 4477, 274–281). LNCS.
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Felipe Lumbreras, Joan Serrat, Ramon Baldrich, Maria Vanrell, & Juan J. Villanueva. (2001). Color Texture Recognition Through Multiresolution Features.
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Felipe Lumbreras, Xavier Roca, Daniel Ponsa, Robert Benavente, Judit Martinez, Silvia Sanchez, et al. (2001). Visual Inspection of Safety Belts. In International Conference on Quality Control by Artificial Vision (Vol. 2, 526–531).
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Antonio Lopez, & Joan Serrat. (1998). Ridges and Valleys in Image Analysis.
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Antonio Lopez, & Joan Serrat. (1997). Ridge/Valley-like structures: Creases, separatrices and drainage patterns.
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Antonio Lopez, & Joan Serrat. (1996). Tracing crease curves by solving a system of differential equations..
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Antonio Lopez, & Joan Serrat. (1995). Image Analysis through Surface Geometric Descriptors.
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Antonio Lopez. (2000). Multilocal Methods for Ridge and Valley Delineation in Image Analysis. (Joan Serrat, Ed.). Ph.D. thesis, , .
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Antonio Lopez. (1997). Ridge/Valley-like structures: Creases, separatrices and drainage patterns.
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Antonio Lopez, W. Niessen, Joan Serrat, K. Nicolay, Bart M. Ter Haar Romeny, Juan J. Villanueva, et al. (2000). New improvements in the multiscale analysis of trabecular bone patterns..
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Antonio Lopez, W. Niessen, Joan Serrat, K. Nicolay, Bart M. Ter Haar Romeny, Juan J. Villanueva, et al. (1999). New improvements in the multiscale analysis of trabecular bone patterns..
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David Lloret, C. Mariño, Joan Serrat, Antonio Lopez, & Juan J. Villanueva. (2001). Landmark-based registration of full SLO video sequences..
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Josep Llados, Felipe Lumbreras, & X. Varona. (1999). A multidocument platform for automatic reading of identity cards..
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Antonio Lopez, Felipe Lumbreras, Joan Serrat, & Juan J. Villanueva. (1999). Evaluation of Methods for Ridge and Valley Detection.
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David Lloret, Antonio Lopez, Joan Serrat, & Juan J. Villanueva. (1999). Creaseness-based computer tomography and magnetic resonance registration: Comparison with the mutual information method..
Abstract: This paper describes a method which uses the skull as a landmark for automatic registration of computer tomography to magnetic resonance (MR) images. First, the skull is extracted from both images using a new creaseness operator. Then, the resulting creaseness images are used to build a hierarchic structure which permits a robust and fast search. We have justified experimentally the performance of several choices of our algorithm, and we have thoroughly tested its accuracy and robustness against the well-known mutual information method for five different pairs of images. We have found both comparable, and for certain MR images the proposed method achieves better performance.
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