Image histogram (gray level histogram) is one of simple and easy statistical tool for image analysis. From the histogram, many useful information of an image can be represented from an image. Image histogram is easy and fast to compute.
Figure 1. An Image And Its Histogram
Figure 1. Show an image and its histogram, you can show in the histogram that the pixels values (the gray level values) is distributed only on the middle part of the available level, at levels between 100-200. We can say that the image doesn't maximize the usage of the available bit-depth (0-255).
Figure 2. The Image And Its Histogram After Equalization
Using image processing techniques, we can manipulate the image to equalize the histogram, so we will have a better picture. The image and it's histogram after equalization is shown in Figure 2.
Gray level histogram is a function that show how many pixels for every gray level exist in an image. The x-axis is the gray level, and the y-axis is the number of pixels that have certain level appear on an image.
Figure 1. Show an image and its histogram, you can show in the histogram that the pixels values (the gray level values) is distributed only on the middle part of the available level, at levels between 100-200. We can say that the image doesn't maximize the usage of the available bit-depth (0-255).
Figure 2. The Image And Its Histogram After EqualizationUsing image processing techniques, we can manipulate the image to equalize the histogram, so we will have a better picture. The image and it's histogram after equalization is shown in Figure 2.
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