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Generic and Real-time Detection of Specular Reflections in Images.

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Abstract

In this paper, we propose a generic and efficient method for real-time specular reflections detection in images. The method relies on a new thresholding technique applied in the Hue-Saturation-Value (HSV) color space. A detailed experimental study was conducted in this color space to highlight specular reflections' properties. Current state-of-the-art methods have difficulties with lighting jumps by being too specific or computationally expensive for real-time applications. Our method addresses this problem using the following three steps: an adaptation of the contrast of the image to handle lighting jumps, an automatic thresholding to isolate specular reflections and a post-processing step to further reduce the number of false detections. This method has been compared with the state-of-the-art according to our two proposed experimental protocols based on contours and gravity center and offers fast and accurate results without a priori on the image in real-time.
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Dates and versions

cea-01836536 , version 1 (12-07-2018)

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  • HAL Id : cea-01836536 , version 1

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Alexandre Morgand, Mohamed Tamaazousti. Generic and Real-time Detection of Specular Reflections in Images.. International Conference on Computer Vision Theory and Applications , Jan 2014, lisbonne, Portugal. ⟨cea-01836536⟩

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