Howtosignalprocessing
- What is HSV histogram?
- How is histogram of an image calculated?
- How do you read a color histogram?
- How can we use color histograms for matching two images?
What is HSV histogram?
Histogram: A vector whose components represent similar colors in an image. The value of a component is the number of image pixels having that color. HSV Color Space: A color space consisting of hue, saturation, and intensity value. It is a popular way of representing color content of an image.
How is histogram of an image calculated?
The histogram is computed by examining all pixels in the image and assigning each to a bin depending on the pixel intensity. The final value of a bin is the number of pixels assigned to it.
How do you read a color histogram?
The horizontal axis indicates the color's brightness level (darker on the left and brighter on the right), while the vertical axis indicates how many pixels exist for each color brightness level. The more pixels on the left, the darker and less prominent the color.
How can we use color histograms for matching two images?
In order to match the histogram of images A and B, we need to first equalize the histogram of both images. Then, we need to map each pixel of A to B using the equalized histograms. Then we modify each pixel of A based on B.
