OpenCV 2 Computer Vision Application Programming Cookbook is your guide to the development of computer vision applications. It is a comprehensive reference that exposes you to computer vision concepts illustrated with extensive examples.
A step-by-step guide to computer vision programming using the C++ Interface of the OpenCV 2 library including advanced conceptsWhat you will learn from this book :
- Create advanced computer vision applications using sound object-oriented programming practices
- Iterate over an image to process each of its pixels
- Enhance an image or interesting parts of an image using histograms
- Use mathematical morphology to process binary images and to segment images into homogenous regions
- Filter images by modifying their frequency content
- Detect the lines, contours , and objects contained in an image
- Apply different interest point operators in order to characterize an image content
- Exploit the image geometry in order to match different views of a pictured scene
- Calibrate the camera from different image observations
- Reconstruct selected image elements in 3D
This is a cookbook that shows results obtained on real images with detailed explanations and the relevant screenshots. The recipes contain code accompanied with suitable explanations that will facilitate your learning.
Who this book is written for
If you are a novice C++ programmer who wants to learn how to use the OpenCV library to build computer vision applications, then this cookbook is appropriate for you. It is also suitable for professional software developers wishing to be introduced to the concepts of computer vision programming. It can be used as a companion book in university-level computer vision courses. It constitutes an excellent reference for graduate students and researchers in image processing and computer vision. The book provides a good combination of basic to advanced recipes. Basic knowledge of C++ is required.
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