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OpenCV 4 Computer Vision Application Programming Cookbook.

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dc.contributor.author Escrivá David Millán.
dc.contributor.author Laganiere Robert.
dc.date.accessioned 2024-01-26T21:38:21Z
dc.date.available 2024-01-26T21:38:21Z
dc.date.issued 2019
dc.identifier.citation Escrivá и др. OpenCV 4 Computer Vision Application Programming Cookbook. - 1 online resource. - URL: https://libweb.kpfu.ru/ebsco/pdf/2117004.pdf
dc.identifier.isbn 9781789345285
dc.identifier.isbn 1789345286
dc.identifier.uri https://dspace.kpfu.ru/xmlui/handle/net/178532
dc.description.abstract This book will present a variety of CV algorithms using the standard library. It will implement any shortfall that might come in CV by practicing the recipes that implement various tasks such as image processing and object recognition among others. It will help you in implementing CV algorithms to meet the technical requirement of your projects.
dc.description.tableofcontents Cover; Title Page; Copyright and Credits; About Packt; Contributors; Table of Contents; Preface; Chapter 1: Playing with Images; Installing the OpenCV library; Getting ready; How to do it ... ; How it works ... ; There's more ... ; Using Qt for OpenCV developments; The OpenCV developer site; See also; Loading, displaying, and saving images; Getting ready; How to do it ... ; How it works ... ; There's more ... ; Clicking on images; Drawing on images; Running the example with Qt; See also; Exploring the cv::Mat data structure; How to do it ... ; How it works ... ; There's more ... ; The input and output arrays
dc.description.tableofcontents See alsoDefining regions of interest; Getting ready; How to do it ... ; How it works ... ; There's more ... ; Using image masks; See also; Chapter 2: Manipulating the Pixels; Accessing pixel values; Getting ready; How to do it ... ; How it works ... ; There's more ... ; The cv::Mat_ template class; See also; Scanning an image with pointers; Getting ready; How to do it ... ; How it works ... ; There's more ... ; Other color reduction formulas; Having input and output arguments; Efficient scanning of continuous images; Low-level pointer arithmetics; See also; Scanning an image with iterators; Getting ready
dc.description.tableofcontents How to do it ... How it works ... ; There's more ... ; See also; Writing efficient image-scanning loops; How to do it ... ; How it works ... ; There's more ... ; See also; Scanning an image with neighbor access; Getting ready; How to do it ... ; How it works ... ; There's more ... ; See also; Performing simple image arithmetic; Getting ready; How to do it ... ; How it works ... ; There's more ... ; Overloaded image operators; Splitting the image channels; Remapping an image; How to do it ... ; How it works ... ; See also; Chapter 3: Processing Color Images with Classes; Comparing colors using the strategy design pattern
dc.description.tableofcontents How to do it ... How it works ... ; There's more ... ; Computing the distance between two color vectors; Using OpenCV functions; The functor or function object; The OpenCV base class for algorithms; See also; Segmenting an image with the GrabCut algorithm; How to do it ... ; How it works ... ; See also; Converting color representations; Getting ready; How to do it ... ; How it works ... ; See also; Representing colors with hue, saturation, and brightness; How to do it ... ; How it works ... ; There's more ... ; Using colors for detection -- skin tone detection; Chapter 4: Counting the Pixels with Histograms
dc.description.tableofcontents Computing the image histogramGetting started; How to do it ... ; How it works ... ; There's more ... ; Computing histograms of color images; See also; Applying lookup tables to modify the image's appearance; How to do it ... ; How it works ... ; There's more ... ; Stretching a histogram to improve the image contrast; Applying a lookup table on color images; Equalizing the image histogram; How to do it ... ; How it works ... ; Backprojecting a histogram to detect specific image content; How to do it ... ; How it works ... ; There's more ... ; Backprojecting color histograms
dc.language English
dc.language.iso en
dc.subject.other Application Development.
dc.subject.other Computer Vision.
dc.subject.other Application Software -- Development.
dc.subject.other Computers -- Artificial Intelligence -- Computer Vision & Pattern Recognition.
dc.subject.other Computers -- Software Development & Engineering -- General.
dc.subject.other Computer vision -- Programming.
dc.subject.other C++ (Computer program language)
dc.subject.other Application software.
dc.subject.other Electronic books.
dc.title OpenCV 4 Computer Vision Application Programming Cookbook.
dc.type Book
dc.description.pages 1 online resource.
dc.collection Электронно-библиотечные системы
dc.source.id EN05CEBSCO05C1399


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