Cargando…
Arduino computer vision programming : design and develop real-world computer vision applications with the powerful combination of OpenCV and Arduino /
Design and develop real-world computer vision applications with the powerful combination of OpenCV and Arduino About This Book Load and run the applications in Arduino to develop intelligent systems Design and implement detection, classification, and recognition algorithms for computer vision applic...
| Clasificación: | Libro Electrónico |
|---|---|
| Autores principales: | , |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Birmingham, UK :
Packt Publishing,
2015.
|
| Colección: | Community experience distilled.
|
| Temas: | |
| Acceso en línea: | Texto completo |
Tabla de Contenidos:
- Cover ; Copyright; Credits; About the Authors; About the Reviewers; www.PacktPub.com; Table of Contents; Preface; Chapter 1: General Overview of Computer Vision Systems ; Introducing computer vision systems; Approaching computer vision problems; Data acquisition; Preprocessing; Feature extraction by image processing; Post-processing and post-filtering; Recognition or detection; Acting in the real world; Connecting the pieces; Summary; Chapter 2: Fundamentals and Installation of OpenCV ; Fundamentals of OpenCV; The installation of OpenCV; Installing OpenCV on Linux.
- Installing and configuring packagesUsing OpenCV with Eclipse CDT; Installing OpenCV on Mac OS; Getting command-line tools; Installing HomeBrew; Using OpenCV in Xcode; Installing OpenCV on Windows; Installing MS Visual Studio 2013; OpenCV on iOS; OpenCV on Android; Installing OpenCV4Android; Eclipse integration; Running samples; Summary; Chapter 3: Data Acquisition with OpenCV and Arduino ; Image and video acquisition; Camera selection; Resolution; Color capabilities; Frame rate; 2D or 3D; Communication interface; Image acquisition; Reading a static image; Taking a snapshot from a webcam.
- Getting a video stream from the webcamInteraction with Kinect; Integration of Kinect with OpenCV; Sensor data acquisition; Setting up an Arduino environment; Fundamentals of sensors; Sensor types; Sampling theorem; Dealing with noise; Reading data from the temperature sensor; Summary; Chapter 4: Filtering Data with OpenCV ; Getting started with filtering; 2D convolution; Spatial domain filtering; Smoothing; Sharpening; Color conversions; Grayscale; Binary; Constant thresholding; Adaptive thresholding; Morphological filters; Erosion and dilation; Erosion; Dilation; Opening and closing; Closing.
- OpeningGradients and edge detection; The Canny edge detector; Laplacian of Gaussian filter; Sobel; Custom filtering; Histogram equalization; Chapter project; Summary; Chapter 5: Processing Vision Data with OpenCV ; Extracting features; Using basic statistics; Using color features; Using template matching features; Using contours; Using the convex hull; Using moments; Using the Hough transform; Using corners; Using SIFT; Using SURF; Using ORB; Using blob analysis; Summary; Chapter 6: Recognition with OpenCV ; Building applications which can think; Template matching; Feature matching.
- FLANN-based matchingUsing cascade classifiers; Using support vector machines; Summary; Chapter 7: Communicating with Arduino Using OpenCV ; Communicating with Arduino; Wired communications; Communicating via USB; Communicating via the serial port; Communicating via Ethernet; Wireless communications; Communicating via Bluetooth Low Energy; Communicating via ZigBee; Communicating via Wi-Fi; Communicating via radio frequency; Communicating with Java; Communicating with C++; Summary; Chapter 8: Acting in the Real World with Arduino ; Interfacing electric motors; Driving DC motors.