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Image Processing and Computer Vision iOS App Development: The Basics

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Image Processing and Computer Vision in iOS

Part of the book series: SpringerBriefs in Computer Science ((BRIEFSCOMPUTER))

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Abstract

This chapter provides an overview of the basic steps in image processing and computer vision as well as selected aspects of the process of developing image processing and computer vision iOS apps.

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Notes

  1. 1.

    Depending on the algorithm, the input could also be a series of (2D or 3D) images and/or one or more videos. This is valid for all three categories described here.

  2. 2.

    Notably the Image Processing, Deep Learning, and Computer Vision toolboxes.

  3. 3.

    It is commonly said that the history of computer vision will be written in two volumes: (i) before deep learning (1950s–2012); and (ii) after deep learning (2012–present).

  4. 4.

    This is a potentially time-consuming step, since it involves learning a new programming language and many software development aspects that are crucial to mobile app development. Fortunately, there are plenty of resources online to learn them, some of which appear at then end of this chapter.

  5. 5.

    You can test much of the functionality of an iOS app using the iOS simulator that is bundled with Xcode, but for certain aspects of some apps (e.g., live video capture) you must deploy and test on a physical device.

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Authors and Affiliations

  1. Department of Computer & Electrical Engineering and Computer Science, Florida Atlantic University, Boca Raton, FL, USA

    Oge Marques

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  1. Oge Marques
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Marques, O. (2020). Image Processing and Computer Vision iOS App Development: The Basics. In: Image Processing and Computer Vision in iOS. SpringerBriefs in Computer Science. Springer, Cham. https://doi.org/10.1007/978-3-030-54032-6_2

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  • DOI: https://doi.org/10.1007/978-3-030-54032-6_2

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-54030-2

  • Online ISBN: 978-3-030-54032-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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