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You're reading from  Learning OpenCV 3 Application Development

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Published inDec 2016
Reading LevelIntermediate
PublisherPackt
ISBN-139781784391454
Edition1st Edition
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Samyak Datta
Samyak Datta
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Samyak Datta

Samyak Datta has a bachelor's and a master's degree in Computer Science from the Indian Institute of Technology, Roorkee. He is a computer vision and machine learning enthusiast. His first contact with OpenCV was in 2013 when he was working on his master's thesis, and since then, there has been no looking back. He has contributed to OpenCV's GitHub repository. Over the course of his undergraduate and master's degrees, Samyak has had the opportunity to engage with both the industry and research. He worked with Google India and Media.net (Directi) as a software engineering intern, where he was involved with projects ranging from machine learning and natural language processing to computer vision. As of 2016, he is working at the Center for Visual Information Technology (CVIT) at the Indian Institute of Information Technology, Hyderabad.
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Morphological operations


So far in this chapter, we have looked at image thresholding operations. As we have stated a number of times, the end-result of these thresholding operations is binary images. These binary images are, of course, not very pleasant to look at! This means that we don't really create them for their aesthetic value. Rather, they serve as inputs to the subsequent processing stages of our image processing pipeline. The solutions to most of the common computer vision and image processing problems can be viewed as a pipeline, rather than a single algorithm. The outputs of the current operation serve as inputs to the next and so on until we reach the desired output stage. Image thresholding is one such stage that you might come across in any pipeline (and so is image smoothing/blurring).

What we are going to do in this section is learn in brief about one more operation that makes frequent appearances in the image processing pipelines that we just discussed-morphological operations...

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Learning OpenCV 3 Application Development
Published in: Dec 2016Publisher: PacktISBN-13: 9781784391454

Author (1)

author image
Samyak Datta

Samyak Datta has a bachelor's and a master's degree in Computer Science from the Indian Institute of Technology, Roorkee. He is a computer vision and machine learning enthusiast. His first contact with OpenCV was in 2013 when he was working on his master's thesis, and since then, there has been no looking back. He has contributed to OpenCV's GitHub repository. Over the course of his undergraduate and master's degrees, Samyak has had the opportunity to engage with both the industry and research. He worked with Google India and Media.net (Directi) as a software engineering intern, where he was involved with projects ranging from machine learning and natural language processing to computer vision. As of 2016, he is working at the Center for Visual Information Technology (CVIT) at the Indian Institute of Information Technology, Hyderabad.
Read more about Samyak Datta