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Home/ Questions/Q 8413309
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Editorial Team
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Editorial Team
Asked: June 10, 20262026-06-10T00:53:47+00:00 2026-06-10T00:53:47+00:00

What does the cv::normalize(_src, dst, 0, 255, NORM_MINMAX, CV_8UC1); do in OpenCV? I went

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What does the cv::normalize(_src, dst, 0, 255, NORM_MINMAX, CV_8UC1); do in OpenCV?

I went through the documentation and was unable to understand what alpha, beta, NORM_MINMAX and CV_8UC1 actually do. I am aware alpha sets the lower and beta the higher bound. CV_8UC1 stands for an 8-bit unsigned single channel. But what exactly these arguments do to the picture is what I am unable to comprehend.

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  1. Editorial Team
    Editorial Team
    2026-06-10T00:53:49+00:00Added an answer on June 10, 2026 at 12:53 am

    When the normType is NORM_MINMAX, cv::normalize normalizes _src in such a way that the min value of dst is alpha and max value of dst is beta. cv::normalize does its magic using only scales and shifts (i.e. adding constants and multiplying by constants).

    CV_8UC1 says how many channels dst has.

    The documentation here is pretty clear: http://docs.opencv.org/modules/core/doc/operations_on_arrays.html#normalize

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