2005
DOI: 10.1093/ietfec/e88-a.9.2419
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Abstract: Traffic sign recognition usually consists of two parts : detection and classification. In this paper we describe the classification stage using ring partitioned method. In this method, first the RGB image is converted into gray scale image using color thresholding and histogram specification technique. This gray scale image, called as specified gray scale image is invariant to the illumination changes. Then the image is classified using ring partitioned method. The image is divided by several concentric areas … Show more

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Cited by 35 publications
(23 citation statements)
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“…A new method for traffic sign classification based on grayscale images has been presented in [69]. In the first stage the RGB images were converted to grayscale by using color thresholding and histogramming techniques.…”
Section: Recognition Methodsmentioning
confidence: 99%
“…A new method for traffic sign classification based on grayscale images has been presented in [69]. In the first stage the RGB images were converted to grayscale by using color thresholding and histogramming techniques.…”
Section: Recognition Methodsmentioning
confidence: 99%
“…At first, a red color thresholding [9,10] is employed, and a connected component labeling is applied to create blobs layer-1. Using these blobs, the spatial information (bounding boxes) of signs is determined.…”
Section: Blob Trackingmentioning
confidence: 99%
“…Using these blobs, the spatial information (bounding boxes) of signs is determined. Then a blue color thresholding [9,10] is applied to sub-images inside the bounding boxes to create blobs layer-2. Blobs layer-1 and the blobs layer-2 are illustrated in Fig.…”
Section: Blob Trackingmentioning
confidence: 99%
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“…Some studies present detection and/or classification results around 90% [12,13] or in some cases 95% [10] or more. However, few studies compare with other databases than their own and the used database is seldom made public.…”
Section: Introductionmentioning
confidence: 99%