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Mastering OpenCV Android Application Programming

You're reading from   Mastering OpenCV Android Application Programming Master the art of implementing computer vision algorithms on Android platforms to build robust and efficient applications

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Product type Paperback
Published in Jul 2015
Publisher
ISBN-13 9781783988204
Length 216 pages
Edition 1st Edition
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Toc

Chapter 2. Detecting Basic Features in Images

After reading about the basics of image processing and manipulation in the previous chapter, we will take a look at some of the most widely used algorithms used to extract meaningful information from the images in the form of edges, lines, circles, ellipses, blobs or contours, user defined shapes, and corners. In context of computer vision and image processing, such information is often termed as features. In this chapter, we will take a look at the various feature detection algorithms, such as Edge and Corner detection algorithms, Hough transformations, and Contour detection algorithms and their implementations on an Android platform using OpenCV.

To make our lives simpler, and have a clear understanding of this chapter, we will first create a basic Android application to which we will keep adding implementations of different feature detection algorithms. This will reduce the amount of extra code that we would otherwise have to write...

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