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You're reading from  OpenCV Computer Vision Application Programming Cookbook Second Edition

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Published inAug 2014
Reading LevelBeginner
PublisherPackt
ISBN-139781782161486
Edition1st Edition
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Robert Laganiere
Robert Laganiere
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Robert Laganiere

Robert Laganiere is a professor at the School of Electrical Engineering and Computer Science of the University of Ottawa, Canada. He is also a faculty member of the VIVA research lab and is the co-author of several scientific publications and patents in content based video analysis, visual surveillance, driver-assistance, object detection, and tracking. Robert authored the OpenCV2 Computer Vision Application Programming Cookbook in 2011 and co-authored Object Oriented Software Development published by McGraw Hill in 2001. He co-founded Visual Cortek in 2006, an Ottawa-based video analytics start-up that was later acquired by iwatchlife.com in 2009. He is also a consultant in computer vision and has assumed the role of Chief Scientist in a number of start-up companies such as Cognivue Corp, iWatchlife, and Tempo Analytics. Robert has a Bachelor of Electrical Engineering degree from Ecole Polytechnique in Montreal (1987) and MSc and PhD degrees from INRS-Telecommunications, Montreal (1996). You can visit the author's website at laganiere.name.
Read more about Robert Laganiere

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Scanning an image with neighbor access


In image processing, it is common to have a processing function that computes a value at each pixel location based on the value of the neighboring pixels. When this neighborhood includes pixels of the previous and next lines, you then need to simultaneously scan several lines of the image. This recipe shows you how to do it.

Getting ready

To illustrate this recipe, we will apply a processing function that sharpens an image. It is based on the Laplacian operator (which will be discussed in Chapter 6, Filtering the Images). It is indeed a well-known result in image processing that if you subtract the Laplacian from an image, the image edges are amplified, thereby giving a sharper image.

This sharpened value is computed as follows:

sharpened_pixel= 5*current-left-right-up-down;

Here, left is the pixel that is immediately on the left-hand side of the current one, up is the corresponding one on the previous line, and so on.

How to do it...

This time, the processing...

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OpenCV Computer Vision Application Programming Cookbook Second Edition
Published in: Aug 2014Publisher: PacktISBN-13: 9781782161486

Author (1)

author image
Robert Laganiere

Robert Laganiere is a professor at the School of Electrical Engineering and Computer Science of the University of Ottawa, Canada. He is also a faculty member of the VIVA research lab and is the co-author of several scientific publications and patents in content based video analysis, visual surveillance, driver-assistance, object detection, and tracking. Robert authored the OpenCV2 Computer Vision Application Programming Cookbook in 2011 and co-authored Object Oriented Software Development published by McGraw Hill in 2001. He co-founded Visual Cortek in 2006, an Ottawa-based video analytics start-up that was later acquired by iwatchlife.com in 2009. He is also a consultant in computer vision and has assumed the role of Chief Scientist in a number of start-up companies such as Cognivue Corp, iWatchlife, and Tempo Analytics. Robert has a Bachelor of Electrical Engineering degree from Ecole Polytechnique in Montreal (1987) and MSc and PhD degrees from INRS-Telecommunications, Montreal (1996). You can visit the author's website at laganiere.name.
Read more about Robert Laganiere