Histogram Computation
Explore how to compute histograms for both grayscale and color images using OpenCV in Python. Understand pixel intensity distribution and learn to plot histograms with matplotlib, enhancing your skills in image analysis and classification.
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What is a histogram?
In OpenCV, the histogram is used to visualize the distribution of pixel intensities in an image. It is a graphical plot that depicts the number of pixels in images with certain intensities.
Histogram-based data analysis is one of the most important uses of the OpenCV library. It is widely used in image classification and recognition.
To calculate a histogram, we can count the number of pixels that have certain intensities. For example, if there are 4 pixels with intensity 9, there will be a point at (4,9) in the histogram. In a similar manner, points are taken from all different intensities and the histogram is drawn. Let’s learn to draw a histogram using OpenCV.
Histogram for grayscale image
First, we need to convert our image to grayscale.
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