OpenCV By Example

Learn to harness the power of OpenCV, the renowned open-source library for computer vision and image processing, through practical examples and projects. In this guide, you'll dive deep into tools and techniques, creating real-world applications like optical flow analysis and text recognition using Tesseract.

What this Book will help me do

• Understand and implement basic OpenCV functions like image filtering and histogram analysis.
• Develop applications involving object tracking, background subtraction, and video surveillance.
• Leverage OpenCV's text detection capabilities using Tesseract for creating text recognition functionalities.
• Explore advanced image processing techniques, including segmentation and feature extraction.
• Gain hands-on experience by building real-world projects demonstrating computer vision concepts.

Author(s)

None Joshi, None Millán Escrivá, and Vinícius G. Mendonça are seasoned experts in computer vision and instrumental contributors to the OpenCV community. With backgrounds spanning software development and applied research, they emphasize practical applications of theoretical concepts in their writings.

Who is it for?

Ideal for software developers with a foundational understanding of computer vision and image processing, this book empowers learners to create impactful applications. Some experience with coding in C is expected, making the material accessible yet suitably challenging for those aiming to deepen their expertise.