Fundamentals of image contours

Course Description

Learn to process images by learning fundamentals of image contours using opencv and popular programming language Python.

Build a strong foundation in Image Processing with this tutorial for beginners.

• Understanding of how images are processed as array of RGB pixel intensities

• Learn basics of image contours

• Leverage OpenCV and Python to identify shapes using contours

• User Jupyter Notebook for programming

• Use step by step instructions along with plenty of examples

A Powerful Skill at Your Fingertips  Learning the fundamentals of image contours puts a powerful and very useful tool at your fingertips. Python, opencv and Jupyter are free, easy to learn, has excellent documentation.

Image contours detection is useful in everyday applications such as shape detection, medical diagnosis, license plate detection and image segmentation. Its also pre-requisite for computer vision applications using machine learning.

Jobs in image processing area are plentiful, and being able to learn opencv and python will give you a strong edge.

Image contour tasks are becoming very popular. Amazon, Walmart, Google eCommerce websites are few famous example of image contours in action. Convolutional neural network (CNN) uses these techniques to detect shapes of objects .

Image processing tasks are vital in information retrieval and computer vision applications . 

Big advertising companies and Hollywood studios already using image contours in image segmentation

Content and Overview  

This course teaches you on how to detect shapes using opencv, python and Jupyter framework.  You will work along with me step by step to build following answers

• Introduction to image contours

• Learn how to detect shapes using image contouring

• Build an jupyter notebook step by step using opencv and python and learn contour properties, contour detection, contour properties like convex hull, solidity, extent, aspect ratio and contour approximation

What am I going to get from this course?

• Learn fundamentals of image contours and build shape identification tasks from professional trainer from your own desk.

• Over 10 lectures teaching you how to perform image contouring using opencv and python

• Suitable for beginner programmers and ideal for users who learn faster when shown.

• Visual training method, offering users increased retention and accelerated learning.

• Breaks even the most complex applications down into simplistic steps.

• Offers challenges to students to enable reinforcement of concepts. Also solutions are described to validate the challenges.