Fundamentals of image gradients and edge detection

Course Description

Learn to process images by learning fundamentals of image gradients 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 gradients

Leverage OpenCV and Python to detect edges using gradients

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

Image gradients is ubiquitous in everyday applications such as edge 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 gradients tasks are becoming very popular. Amazon, Walmart, Google eCommerce websites are few famous example of image thresholding in action. Convolutional neural network (CNN) uses these techniques to detect boundaries of objects .

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