So far we have covered the basics of Python and its scientific modules. In this chapter, we begin our journey of learning image processing. The first concept we will master is filtering, which is at the heart of image quality and further processing.
We associate filters (such as a water filter) with removing undesirable impurities. Similarly, in image processing, a filter removes undesirable impurities which includes noise. In some cases, the impurities might be visually distracting and in some cases might produce error in further processing. Some filters are also used to suppress certain features in an image and highlight others. For example, the first derivative and second derivative filters that ...
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