June 2020
Intermediate to advanced
452 pages
7h 48m
English
book
Image Processing and Acquisition using Python, 2nd Edition
by Ravishankar Chityala, Sridevi Pudipeddi
Content preview from Image Processing and Acquisition using Python, 2nd Edition
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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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I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.