Book Image

Practical OpenCV 3 Image Processing with Python [Video]

By : Riaz Munshi
Book Image

Practical OpenCV 3 Image Processing with Python [Video]

By: Riaz Munshi

Overview of this book

<p><span id="description" class="sugar_field">OpenCV is a native cross-platform C++ Library for computer vision, machine learning, and image processing. It is increasingly being adopted in Python for developing applications to process visual data such as photographs or videos. OpenCV has C++/C, Python, and Java interfaces with support for Windows, Linux, Mac, iOS, and Android, and offers extensive libraries with over 500 functions.</span></p> <p><span id="description" class="sugar_field">This video demonstrates how to develop a series of intermediate-to-advanced projects using OpenCV and Python, rather than teaching the core concepts of OpenCV in theoretical lessons. Instead, the working projects developed in this video teach the viewer how to apply their theoretical knowledge to topics such as image manipulation, augmented reality, object tracking, 3D scene reconstruction, statistical learning, and object categorization.</span></p> <p><span id="description" class="sugar_field">By the end of this video course, viewers will be OpenCV experts whose newly gained experience allows them to develop their own advanced computer vision applications.</span></p> <h2><span class="sugar_field">Style and Approach</span></h2> <p><span class="sugar_field"><span id="trade_selling_points_c" class="sugar_field">Boost your knowledge of Computer Vision and image processing by developing real-world projects in OpenCV 3</span></span></p>
Table of Contents (3 chapters)
Chapter 2
Finding Targets and Number Plate Recognition in Video Stream
Content Locked
Section 1
Extracting Contours from Images
In this video, we will segment binary images by extracting contours of arbitrary shapes and sizes. - Find and draw contours in a binary Image - Fit polygons to contours to approximate their shape - Use Hu moments to match contours