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.