2.8   Histograms: Summary and conclusions

In this chapter of the tutorial you have learnt how Bilko can display the frequency distribution of pixel values as a histogram, and how this may help you interpret the image data.

Having completed the activities in the previous sections you should now be able to create a new histogram from a suitable area of the images, derive frequency information from the histogram display, and interpret this in terms of different pixels types found in the image.

In the last section of the chapter you also learnt how frequency distributions shown in the histogram may be used to change the way Bilko displays a particular image, so that only areas of interest are shown in detail in the image window. This is also known as linear contrast stretching.

In chapter 3 of the tutorial you will be looking at contrast stretching in greater detail, including non-linear stretch options, which may be used when a linear stretch is not the best choice.