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OpenCV 4 Computer Vision Application Programming Cookbook.
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 m...
| Clasificación: | Libro Electrónico |
|---|---|
| Autor principal: | |
| Otros Autores: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
[Place of publication not identified] :
Packt Publishing : Packt Publishing,
2019.
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| Temas: | |
| Acceso en línea: | Texto completo |
MARC
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| 100 | 1 | |a Escrivá, David Millán. | |
| 245 | 1 | 0 | |a OpenCV 4 Computer Vision Application Programming Cookbook. |
| 264 | 1 | |a [Place of publication not identified] : |b Packt Publishing : |b Packt Publishing, |c 2019. | |
| 300 | |a 1 online resource. | ||
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| 505 | 0 | |a 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 | |
| 505 | 8 | |a 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 | |
| 505 | 8 | |a 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 | |
| 505 | 8 | |a 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 | |
| 505 | 8 | |a 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 | |
| 520 | |a 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. | ||
| 590 | |a eBooks on EBSCOhost |b EBSCO eBook Subscription Academic Collection - Worldwide | ||
| 650 | 0 | |a Computer vision |x Programming. | |
| 650 | 0 | |a C++ (Computer program language) | |
| 650 | 0 | |a Application software. | |
| 650 | 4 | |a Application Development. | |
| 650 | 4 | |a Computer Vision. | |
| 650 | 4 | |a Application Software |x Development. | |
| 650 | 4 | |a Computers |x Artificial Intelligence |x Computer Vision & Pattern Recognition. | |
| 650 | 4 | |a Computers |x Software Development & Engineering |x General. | |
| 650 | 6 | |a Vision par ordinateur |x Programmation. | |
| 650 | 6 | |a C++ (Langage de programmation) | |
| 650 | 6 | |a Logiciels d'application. | |
| 650 | 7 | |a Application software |2 fast | |
| 650 | 7 | |a C++ (Computer program language) |2 fast | |
| 700 | 1 | |a Laganiere, Robert. | |
| 776 | 0 | 8 | |i Print version: |a Millán Escrivá, David. |t OpenCV 4 Computer Vision Application Programming Cookbook : Build Complex Computer Vision Applications with OpenCV and C++, 4th Edition. |d Birmingham : Packt Publishing, Limited, ©2019 |z 9781789340723 |
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