OpenCV Java教程文档及深入学习图书

OpenCV是一个基于BSD许可（开源）发行的跨平台计算机视觉库，可以运行在Linux、Windows、Android和Mac OS操作系统上。它轻量级而且高效——由一系列 C 函数和少量 C++ 类构成，同时提供了Python、Ruby、MATLAB等语言的接口，实现了图像处理和计算机视觉方面的很多通用算法。

OpenCV用C++语言编写，它的主要接口也是C++语言，但是依然保留了大量的C语言接口。该库也有大量的Python, Java and MATLAB/OCTAVE (版本2.5)的接口。这些语言的API接口函数可以通过在线文档获得。如今也提供对于C#,Ch, Ruby的支持。

其所有新的开发和算法都是用C++接口。一个使用CUDA的GPU接口也于2010年9月开始实现。

OpenCV官方Java教程地址：http://opencv-java-tutorials.readthedocs.io/en/latest/

Welcome to OpenCV Java Tutorials documentation!

• Installing OpenCV for Java
  • Introduction to OpenCV for Java
  • Install the latest Java version
  • Install the latest Eclipse version
  • Install OpenCV 3.x under Windows
  • Install OpenCV 3.x under macOS
  • Install OpenCV 3.x under Linux
  • Set up OpenCV for Java in Eclipse
  • Set up OpenCV for Java in other IDEs (experimental)
• Your First Java Application with OpenCV
  • A Java application with OpenCV
  • What we will do in this tutorial
  • Create a New Project
  • Add a User Library
  • Create a simple application
• Your First JavaFX Application with OpenCV
  • A JavaFX application with OpenCV
  • What we will do in this tutorial
  • Your First Application in JavaFX
  • Installing e(fx)clipse plugin and Scene Builder
  • Working with Scene Builder
  • Key Concepts in JavaFX
  • Managing GUI Interactions With the Controller Class
  • Video Capturing
• OpenCV Basics
  • What we will do in this tutorial
  • Getting started
  • Color channel checkbox
  • Load an Image and Add it to the Stream
  • Calculate a Histogram
  • Draw the Histogram
• Fourier Transform
  • Goal
  • What is the Fourier Transform?
  • What we will do in this tutorial
  • Getting Started
  • Load the file
  • Applying the DFT
  • Applying the inverse DFT
  • Analyzing the results
• Face Detection and Tracking
  • Goal
  • Cascade Classifiers
  • What we will do in this tutorial
  • Getting Started
  • Loading the Classifiers
  • Detection and Tracking
• Image Segmentation
  • Goal
  • Canny edge detector
  • Dilatation and Erosion
  • What we will do in this tutorial
  • Getting Started
  • Using the Canny edge detection
  • Canny Result
  • Using the Background Removal
  • Background Removal Result
• Object Detection
  • Goal
  • Morphological Image Processing
  • What we will do in this tutorial
  • Getting Started
  • Image processing
  • Morphological Operators
  • Object tracking
• Camera Calibration
  • Goal
  • What is the camera calibration?
  • Calibration Pattern
  • What we will do in this tutorial
  • Getting Started
  • Pattern Recognition
  • Saving Data
  • Camera Calibration

Indices and tables

• Index
• Module Index
• Search Page

中文学习图书：