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 Processingwith this tutorial for beginners.
Understanding of how images are processed as array of RGBpixel 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 FingertipsLearning 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 pythonwill 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 .
Big advertising companies and Hollywood studiosalready using image gradients in image segmentation
Content and Overview
This course teaches you on how to smooth images using opencv, python and Jupyterframework. You will work along with me step by step to build following answers
Introduction to image thresholding
Learn how to apply thresholding to image
Build an jupyter notebook step by step using opencv and python and learn effects like bilateral thresholding, gaussian blur, median blur and average blur.
What am I going to get from this course?
Learn fundamentals of image thresholding and build image thresholding tasks from professional trainer from your own desk.
Over 10lecturesteaching you how to perform image thresholding 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 studentsto enable reinforcement of concepts. Also solutions are described to validate the challenges.
