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Illumination invariant and robust apparatus and method for detecting and recognizing various traffic signs

  • US 9,269,001 B2
  • Filed: 06/10/2011
  • Issued: 02/23/2016
  • Est. Priority Date: 06/10/2010
  • Status: Active Grant
First Claim
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1. A method for detecting and recognizing traffic signs using images captured by a digital color and night vision camera, the said method characterized in being illumination invariant comprising:

  • transforming, by a processor, RGB image into HSV color model and subsequently extracting desired color components by using color quantization;

    filtering, by the processor, noise components in the HSV color model in order to obtain a filtered image, wherein the filtered image is obtained by,computing a centroid of each Region of Interest (ROI) in the HSV color model,calculating a left distance indicating a distance from the centroid to a plurality of left side elements present in the HSV color model,calculating a right distance indicating a distance from the centroid to a plurality of right side elements present in the HSV color model,filtering the noise components based on the left distance, the right distance, a count of the plurality of left side elements, and a count of the plurality of right side elements;

    detecting, by the processor, edges of objects in the filtered image and subsequently detecting distinct objects in the filtered image;

    classifying, by the processor, shapes of traffic signs based on shape of the distinct objects; and

    recognizing, by the processor, the shapes of the traffic signs by template matching.

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