opencv视频相似度检测

source code 位置:

samples/cpp/tutorial_code/gpu/gpu-basics-similarity/gpu-basics-similarity

The PSNR (peak SNR) returns a float number, that if the two inputs are similar between 30 and 50 (higher is better).

opencv视频相似度检测_第1张图片

The SSIM returns the MSSIM of the images. This is too a float number between zero and one (higher is better), however we have one for each channel. Therefore, we return a Scalar OpenCV data structure. 

MSSIM(Mean Structure Similitary Index) is a measure of distortion static images. It s comparing distorted image with reference image and as the result return value between 0 and 1, value 1 is only reachable in the case of two identical sets of data.

\hbox{SSIM}(x,y) = \frac{(2\mu_x\mu_y + c_1)(2\sigma_{xy} + c_2)}{(\mu_x^2 + \mu_y^2 + c_1)(\sigma_x^2 + \sigma_y^2 + c_2)}

see also: http://opencv.itseez.com/doc/tutorials/gpu/gpu-basics-similarity/gpu-basics-similarity.html

转载于:https://www.cnblogs.com/joywelt/archive/2012/05/16/2651656.html

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