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OpenCV 4 Computer Vision Application Programming Cookbook - Fourth Edition

You're reading from  OpenCV 4 Computer Vision Application Programming Cookbook - Fourth Edition

Product type Book
Published in May 2019
Publisher Packt
ISBN-13 9781789340723
Pages 494 pages
Edition 4th Edition
Languages
Authors (2):
David Millán Escrivá David Millán Escrivá
Profile icon David Millán Escrivá
Robert Laganiere Robert Laganiere
Profile icon Robert Laganiere
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Table of Contents (17) Chapters

Preface Playing with Images Manipulating the Pixels Processing Color Images with Classes Counting the Pixels with Histograms Transforming Images with Morphological Operations Filtering the Images Extracting Lines, Contours, and Components Detecting Interest Points Describing and Matching Interest Points Estimating Projective Relations in Images Reconstructing 3D Scenes Processing Video Sequences Tracking Visual Motion Learning from Examples OpenCV Advanced Features Other Books You May Enjoy

Writing efficient image-scanning loops

In the previous recipes of this chapter, we presented different ways of scanning an image in order to process its pixels. In this recipe, we will compare the efficiency of these different approaches.

When you write an image-processing function, efficiency is often a concern. When you design your function, you will frequently need to check the computational efficiency of your code in order to detect any bottleneck in your processing that might slow down your program.

However, it is important to note that, unless necessary, optimization should not be undertaken at the cost of reducing the program clarity. Simple code is indeed always easier to debug and maintain. Only code portions that are critical to a program's efficiency should be heavily optimized.

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