Matlab Digital Image Processing From Ground Up™
Genre: eLearning | MP4 | Video: h264, 1280x720 | Audio: aac, 44100 Hz
Language: English | VTT | Size: 2.39 GB | Duration: 13 section | 59 lectures | (4h 19m)
What you'll learn

Be able to suppress noise in images
Be able to develop the 2-D Convolution algorithm in Matlab
Apply Edge-Detection Operators like Laplacian, Sobel, Prewitt, Robinson etc. on Images
Be able to develop Spatial Filtering Algorithms in Matlab
Be able to compute an Image Histogram and Equalize it in Matlab
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
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 Matlab programming language.