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The performance of these systems has strong implications on crucial parameters of imaging devices, like the sensitivity and the image background noise.
Brightness of image background is then corrected to achieve uniform background pavement image.
Scanner performance is highly related to anatomical structures at the image background.
The grizzly is made of a bleach material so that the image background does not portray as ore particles.
The key of image difference method is how to reconstruct a complete video image background.
Find corners of image with image background and other are image pixels.
First, the image background is corrected, by making it more uniform.
Cheng and Quan [18] puts forward a model color image background difference method based on HSI.
The algorithm uses multi-scale wavelet transform to decompose pavement image and then reconstructs image background using low-wavenumber components through inverse wavelet transform.
Next, the image background is removed and the image is thresholded to get the binary images containing the vessels.
The original DFG is the model of an image processing application: motion detection on a fixed image background.
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