Fundamentals of image gradients and edge detection Udemy

Fundamentals of image gradients and edge detection by Evergreen Technologies

The Fundamentals of image gradients and edge detection course is undoubtedly the most interesting and the most sought after by those seeking to specialize in Development.

Learn to apply Sobel , laplacian and Scharr kernels to compute image gradients

Also, keep in mind that Evergreen Technologies, professor of the course, is an excellent professional with worldwide recognition.

Therefore, if you want to study and learn more, we recommend that you start this udemy course right now.

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Fundamentals of image gradients and edge detection Udemy

What is the Fundamentals of image gradients and edge detection course about?

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 . Big advertising companies and Hollywood studios already using image gradients in image segmentation Content and Overview This course teaches you on how to smooth images using opencv, python and Jupyter framework.  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 10 lectures teaching 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 students to enable reinforcement of concepts. Also solutions are described to validate the challenges.

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Course dictated by Evergreen Technologies

Over 20 years of experience in  programming applications in Fortune 500 companies. I have written 2 books on software design patterns and performance tuning that are published on kindle, nook and ibooks.  So far I have taught react.js, nunit, Chatbot , several courses on machine learning and design patterns.  I have also been working in machine learning area for many years. My passion is leverage my years of experience to teach students in a intuitive and enjoyable manner.

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