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Mastering OpenCV 4

You're reading from   Mastering OpenCV 4 A comprehensive guide to building computer vision and image processing applications with C++

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Product type Paperback
Published in Dec 2018
Publisher
ISBN-13 9781789533576
Length 280 pages
Edition 3rd Edition
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Authors (2):
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Roy Shilkrot Roy Shilkrot
Author Profile Icon Roy Shilkrot
Roy Shilkrot
David Millán Escrivá David Millán Escrivá
Author Profile Icon David Millán Escrivá
David Millán Escrivá
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Toc

Table of Contents (12) Chapters Close

Preface 1. Cartoonifier and Skin Color Analysis on the RaspberryPi FREE CHAPTER 2. Explore Structure from Motion with the SfM Module 3. Face Landmark and Pose with the Face Module 4. Number Plate Recognition with Deep Convolutional Networks 5. Face Detection and Recognition with the DNN Module 6. Introduction to Web Computer Vision with OpenCV.js 7. Android Camera Calibration and AR Using the ArUco Module 8. iOS Panoramas with the Stitching Module 9. Finding the Best OpenCV Algorithm for the Job 10. Avoiding Common Pitfalls in OpenCV 11. Other Books You May Enjoy

Image processing and basic user interface

Now that we know how to read images and webcam streams, we are going to explain some more basic image processing functions and how to create basic controls to change their parameters. In this section, we are going to create a web page that allows users to choose a filter to apply to a loaded image. The filters that we are going to apply are threshold, Gaussian blur, canny, and histogram equalization. Each filter or algorithm takes different input parameters, which we are going to add to user interfaces to control each one.

First, we are going to generate the required elements to create our application. As the user has the ability to choose the algorithm/filter to apply, we are going to add a select HTML element with the possible options to choose from:

<select class="form-control" id="filter">
<option value...
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