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Cristina Cañero, Petia Radeva, Ricardo Toledo, Juan J. Villanueva and J. Mauri. 2000. 3D Curve Reconstruction by Biplane Snakes. 15 th International Conference on Pattern Recognition.563–566.
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M.J. Yzuel, J. Pladellorens, Joan Serrat and A. Dupuy. 1993. Application restauration and edge detection techniques in the calculation of left ventricular volumes. Optics in Medicine, Biology and Environmental Research : Selected contributions to the first International Conference on Optics within Life Sciences (OWLS I). Elsevier, 374–375.
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Joan Serrat, J. Argemi and Juan J. Villanueva. 1991. Automatization of TW2 method using a knowledge-based image analysis system. VIth International Congress of Auxology..
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A. Dupuy, Joan Serrat, Jordi Vitria and J. Pladellorens. 1991. Analysis of gammagraphic images by mathematical morphology. Pattern Recognition and image Analysis: IV Spanish Symposium of Pattern Recognition and image Analysis, World Scientific Pub..
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Joan Serrat, Jordi Vitria and J. Pladellorens. 1991. Morphological Segmentation of Heart Scintigraphic image Sequences. Computer Assisted Radiology..
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Joan Serrat, Antonio Lopez and David Lloret. 2000. On ridges and valleys. 15 th International Conference on Pattern Recognition.59–66.
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David Lloret, Joan Serrat, Antonio Lopez and Juan J. Villanueva. 2003. Ultrasound to MR Volume Registration for Brain Sinking Measurement. 1rst. Iberian Conference on Pattern Recognition and Image Analysis IbPRIA 2003.420–427. (LNCS.)
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Judit Martinez, Eva Costa, P. Herreros, Antonio Lopez and Juan J. Villanueva. 2003. TV-Screen Quality Inspection by Artificial Vision. Proceedings SPIE 5132, Sixth International Conference on Quality Control by Artificial Vision (QCAV 2003).
Abstract: A real-time vision system for TV screen quality inspection is introduced. The whole system consists of eight cameras and one processor per camera. It acquires and processes 112 images in 6 seconds. The defects to be inspected can be grouped into four main categories (bubble, line-out, line reduction and landing) although there exists a large variability among each particular type of defect. The complexity of the whole inspection process has been reduced by dividing images into smaller ones and grouping the defects into frequency and intensity relevant ones. Tools such as mathematical morphology, Fourier transform, profile analysis and classification have been used. The performance of the system has been successfully proved against human operators in normal production conditions.
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Daniel Ponsa and Xavier Roca. 2003. Multiple Model Approach to Deformable Shape Tracking. 1rst. Iberian Conference on Pattern Recognition and Image Analysis IbPRIA 2003.782–792. (LNCS.)
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Angel Sappa, Niki Aifanti, Sotiris Malassiotis and Michael G. Strintzis. 2003. Monocular 3D Human Body Reconstruction Towards Depth Augmentation of Television Sequences. IEEE International Conference on Image Processing, Barcelona, Spain, September 2003.325–328.
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