Colour Vision Model-Based Approach for Segmentation of Traffic Signs
نویسندگان
چکیده
منابع مشابه
Vision Models Based Identification of Traffic Signs
During the last 10 years, computer hardware technology has been improved rapidly. Large memory, storage is no longer a problem. Therefore some trade-off (dirty and quick algorithms) for traffic sign recognition between accuracy and speed should be improved. In this study, a new approach has been developed for accurate and fast recognition of traffic signs based on human vision models. It applie...
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Colour and shape are basic characteristics of traffic signs which are used both by the driver and to develop artificial traffic sign recognition systems. However, these sign features have not been represented robustly in the earlier developed recognition systems, especially in disturbed viewing conditions. In this study, this information is represented by using a human vision colour appearance ...
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15 صفحه اولDetection and Recognition of Traffic Signs Based on HSV Vision Model and Shape features
A detection and recognition method of traffic signs is implemented based on traffic signs’ color and shape features. This method consists of image segmentation based on HSV color space, detection and affine transformation correction based on geometry features, extraction of eigenvector by using Gabor filter, Classification and recognition by Support Vector Machine (SVM). The above algorithms ar...
متن کاملAdvances in Model-Based Traffic Vision
Model based vision allows use of prior knowledge of the shape and appearance of specific objects to be used in the interpretation of a visual scene; it provides a powerful and natural way to enforce the view consistency constraint [1]. A model based vision system has been developed within ESPRIT VIEWS: P2152 which is able to classify and track moving objects (cars and other vehicles) in complex...
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ژورنال
عنوان ژورنال: EURASIP Journal on Image and Video Processing
سال: 2008
ISSN: 1687-5176,1687-5281
DOI: 10.1155/2008/386705