When are histograms used in real life?

Histograms are used in computer vision mainly to filter or detect edges. They are also used for histogram matching, which is based on the idea that two images will have similar histograms if they represent the same object.

They can be used in different applications such as medical, astronomy, and computer vision. They are often used to analyze the frequency distributions in these fields.

Histograms are an important tool in the field of computer vision. We can also use this for image analysis, edge detection, and image comparison.

In computer vision, they can be used to detect objects from an image by analyzing the light intensity distribution in the pixels of the image. Histograms can also be used for face recognition and optical character recognition.

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