Color normalization for appearance based recognition of video key-frames

Sánchez, J. García; Binefa, Xavier

doi:10.1109/icpr.2000.905530

Cited by 5 publications

(1 citation statement)

References 14 publications

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“…Many color correction algorithms have been reported in the literature for color device calibration using mathematical formulation (Vrhel and Trussell 1999a), statistical modeling (Hu and Mojsilovic 2000;Sanchez and Binefa 2000), and neural networks (Cho and Kang 1995;Vrhel and Trussell 1999b). Some researchers combined neural networks with either genetic algorithms (Watanabe et al 2001) or fuzzy logic (Mizutani and Nishio 2002) for improved performance.…”

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confidence: 99%

Color Calibration of Scanners for Scanner‐Independent Grain Grading

Shahin¹,

Symons

2003

Cereal Chem

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Cereal Chem. 80(3):285-289Scanner technology is emerging as a cost-effective and robust imaging alternative to camera-based systems in many applications. However, scanner technology is changing so fast that image quality can vary from model to model. It is critical that images scanned with different scanners be brought to a common basis for processing and measurement through a calibration process that eliminates scanner-to-scanner variability. The focus of this research was to investigate scanner-to-scanner variability and develop color correction or mapping functions to allow for machineindependent grain inspection. Various makes and models of scanners were compared for optical and color characteristics. Three different color correction methods were evaluated: grayscale (GS) transformation, redgreen-blue (RGB) transformation, and histogram matching. All three models of color correction worked within satisfactory tolerance for a multicolor Q60 chart. However, for grain samples of a limited color range, the histogram matching approach performed better than GS and RGB transformations for scanner calibration. The color-corrected test images matched the reference images within 3 grey values. Differences between the three models of color correction are discussed.

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confidence: 99%