Titlebook: Computational Color Imaging; Third International Raimondo Schettini,Shoji Tominaga,Alain Trémeau Conference proceedings 2011 Springer-Verl

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Material Classification for Printed Circuit Boards by Kernel Fisher Discriminant Analysisapproach uses only three dimensional features of the surface-spectral reflectance reduced from the high-dimensional spectral imaging data for effectively classifying the surface material on each pixel point into several elements such as substrate, metal, resist, footprint, and silk-screen paint. We

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Color Correction: A Novel Weighted Von Kries Model Based on Memory Colorse obtained using psychophysical experiments under different illumination levels and later modeled statistically. While supervised image segmentation method detects memory color objects, a luminance level predictor classifies images as dark, dim or bright. This information along with the best memory

Sedative

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Video-Based Illumination Estimationng illumination-estimation algorithms independently to each video frame. However, the frames in a video are generally highly correlated, so we propose a video-based illumination-estimation algorithm that takes advantage of the related information between adjacent frames. The main idea of the method

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Detecting Text in Natural Scenes Based on a Reduction of Photometric Effects: Problem of Color Invars shadows, non-uniform illumination, low-contrast, large signaldependent noise, smear and strain. The proposed method first uses a geodesic transform based on a morphological reconstruction technique to remove dark/light structures connected to the borders of the image and to emphasize on objects in

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Color Target Localization under Varying Illumination Conditionss have been tested. These descriptors are then used to return multiple localization hypotheses and a geometrical and appearance validation are introduced to select the most feasible pose. The experimental results on a public dataset of RAW images containing the Macbeth ColorChecker CC target and acq

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