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TORRENT DETAILS
Udemy - Python Digital Image Processing From Ground Up
TORRENT SUMMARY
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Be able to develop the 2-D Convolution algorithm in Python
Apply Edge-Detection Operators like Laplacian, Sobel, Prewitt, Robinson etc. on Images
Be able to develop Spatial Filtering Algorithms in Python
Be able to compute an Image Histogram and Equalize it in Python
Understand all about operators such as Laplacian, Sobel, Prewitt, Robinson etc.
Be able to perform Image Processing using Python's Imaging Library
Be able to perform Image Processing using SKImage
Be able to perform Arithmetic and Boolean Operations like Addition, Subtraction, AND, OR etc. on images
Be able to perform Image Enhancement Techniques such as Blurring and Sepia using Python
Be able to give a lecture on Digital Image Processing
Requirements
No programming experience needed - I'll teach you everything you need to know
No paid software required
I'll walk you through, step-by-step on how to download and install Python
Description
With a programming based approach, this course is designed to give you a solid foundation in the most useful aspects of Image Processing in an engaging and easy to follow way. The goal of this course is to present practical techniques while avoiding obstacles of abstract mathematical theories. To achieve this goal, the image processing techniques are explained in plain language, not simply proven to be true through mathematical derivations.
Still keeping it simple, this course comes in different programming languages so that students can put the techniques to practice using a programming language of their choice. This version of the course uses the Python programming language.
Use Winrar to Extract. And use a shorter path when extracting, such as C: drive
ALSO ANOTHER TIP: You Can Easily Navigate Using Winrar and Rename the Too Long File/ Folder Name if Needed While You Cannot in Default Windows Explorer. You are Welcome ! :)
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