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In this paper, a new method of saliency-based traffic sign detection is presented. On the basis of the visual attention mechanism model, edge and color information are extracted as early visual features, and each feature is computed and normalized to obtain feature maps, conspicuity maps and the saliency map. Then the candidate regions containing traffic signs are determined with self-organizing map...
This paper presents an image segmentation method based on modified Quadtree sobel operator which was applied to enhance the precision of defining the real edges of the digital images. After removes noise of the images via modified median filtering, and pre-segments the images according to their characteristics, quadtree operator merges different zones without noise by multiple-zone target segmentation...
About parallel processing of RS image in Grid. According to task decomposition pattern, there are two schemes: single image-multilateral process and single image-single process. On the base of the contrast and analysis of the two schemes, we use the single image — multilateral process scheme, focus on the trait of batch RS image processing, solve the problem of transmission of massive RS pictures...
In order to detect traffic sign effectively and quickly, firstly, this paper firstly discriminates the maximum and minimum values of the color-components R, G and B, and then ignores pixels having little color similarity with traffic sign. Secondly, it regards the points of RGB space as color eigenvector and calculates the cosine value of included angle of vectors to discriminate color similarity...
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