Diogo C. Costa

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This work proposes a system for automatic recognition of vehicle license plate. Three phases are involved in the process: image acquisition, plate recognition and postprocessing. New algorithms for the second phase are described herein. The system first locates the plate in the image, and then it segments the characters of the plate and recognizes them. An(More)
This paper presents a new algorithm for speech segmentation based on image analysis of the spectrogram of the signal. The algorithm works in two loops: the first segments the sound in search for the speech signal. The segmented speech returns to the algorithm for phoneme segmentation. For evaluation, the algorithm was applied to TIMIT speech signals with(More)
A new self-organizing map with variable topology is introduced for image segmentation. The proposed network, called Local Adaptive Receptive Field Self-organizing Map (LARFSOM-RBF), is a two-stage network capable of both color and border segment images. The color segmentation stage is responsibility of LARFSOM which is characterized by adaptive number of(More)
A new multi-focus analysis method for image segmentation, based on human visual system focal attention and focusing phenomena, is presented. The main goal is to develop a fast and accurate segmentation algorithm, suitable for real-time applications, such as robotics and autonomous vehicles. The difFocus shows to be fast enough and it achieved the 8th place(More)
A low computational cost technique is presented for boundary detection inspired by the human visual system perception. The current contributions are a chromatic color difference color model, a morphological texture suppression filtering, and a neighborhood related edge thinning. The proposed dRdGdB color model defines a RGB inter-component color difference,(More)
In this paper, it is introduced a low computational cost technique for grayscale thinning, being also capable of thinning binary images. The technique uses an iterative procedure that constructs a topological stack of eroded and smoothed images, on which the neighborhood related local maxima pixels are morphologically thinned. For grayscale intensity(More)
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