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You're reading from  Learning OpenCV 3 Application Development

Product typeBook
Published inDec 2016
Reading LevelIntermediate
PublisherPackt
ISBN-139781784391454
Edition1st Edition
Languages
C++
Tools
OpenCV
Concepts
Computer Vision
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Author (1)
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.
Read more about Samyak Datta

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Neighborhood of a pixel

We have seen image processing operations where the value of a pixel at the output is dependent only on the value of the corresponding pixel at the input. By corresponding, we mean pixels at the same locations (row and column) in the input and output image. Such transformations were represented in mathematical form as follows:

s = T(r)

Here, s and r are the intensity values of a pixel in the output and input respectively. Since we are always dealing with pixels at the same locations, there is no mention of pixel coordinates in the preceding formula. That is to say, the grayscale value of the pixel at the 40th row and 30th column in the output depends on the grayscale value of the pixel at the same coordinates (the 40th row and 30th column) at the input.

This section will introduce you to a slightly more advanced form of image transformation. In the operations that we'll discuss now, the output value at a particular pixel (x, y) is not only dependent on the intensity...

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Learning OpenCV 3 Application Development
Published in: Dec 2016Publisher: PacktISBN-13: 9781784391454
© 2016 Packt Publishing Limited All Rights Reserved

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

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