Fundamentals of image processing using Python and opencv

Course Description

Learn to process images by learning fundamentals of image operations 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 RFB pixel intensities

• Leverage OpenCV and Python to perform cropping, rotation, masking, flipping on images

• 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 processing puts a powerful and very useful tool at your fingertips. Python, opencv and Jupyter are free, easy to learn, has excellent documentation.

Image processing is ubiquitous in everyday applications such as object detection, X-ray enhancements, license plat detections, autonomous car driving, restoration of antique photos. 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 processing tasks are becoming very popular. Amazon, Walmart, Google eCommerce websites are few famous example of image processing in action. Image processing tasks are vital in information retrieval and computer vision applications . 

Big companies like Google, Facebook, Microsoft, AirBnB and Linked In already using image processing in information retrieval and social platforms. They claimed that using image processing has boosted productivity of entire company significantly.

Content and Overview  

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

• Introduction to image processing

• Learn how to rotate, flip, crop and mask images

• Build an jupyter notebook step by step using opencv and python

What am I going to get from this course?

• Learn fundamentals of image processing and build image processing tasks from professional trainer from your own desk.

• Over 10 lectures teaching you how to perform image processing 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.

Rating Distribution

• 1 stars: 2 votes
• 2 stars: 2 votes
• 3 stars: 7 votes
• 4 stars: 8 votes
• 5 stars: 11 votes

Frequently Asked Questions

How long do I have access to the course materials?

You can view and review the lecture materials indefinitely, like an on-demand channel.

Can I take my courses with me wherever I go?

Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!