Detecting Common Geographic Features in Images Based on Invariant Components
US-2015345955-A1 · Dec 3, 2015 · US
US8983136B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-8983136-B2 |
| Application number | US-201213608401-A |
| Country | US |
| Kind code | B2 |
| Filing date | Sep 10, 2012 |
| Priority date | Sep 23, 2011 |
| Publication date | Mar 17, 2015 |
| Grant date | Mar 17, 2015 |
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Disclosed are a method and a device for detecting traffic signs in an input image camera. The method comprises a color space converting step of converting the input image into a HSV color space image; a filtering step of filtering, based on a predetermined pass range of a standard color of each of the traffic signs, the HSV color space image to obtain a filtered image, and then generating one or more connected domains based on one or more regions in the filtered image; a removing step of removing, based on a standard rule of the corresponding traffic sign, at least one of the generated connected domains, not being the corresponding traffic sign, and letting others of the generated connected domains be candidate traffic sign domains; and a recognition step of recognizing, based on a feature of each of the candidate traffic sign domains, the corresponding traffic sign.
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What is claimed is: 1. A method of detecting one or more traffic signs in an input image captured by a camera, comprising: a color space converting step of converting the input image into a HSV color space image; a filtering step including, filtering, based on a predetermined pass range of a standard color of each of the traffic signs, the HSV color space image so as to obtain a filtered image, generating one or more connected domains, the connected domains being regions of t…
Physics · mapped topic
Physics · mapped topic
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