Practical Image Processing in C/C ++ From Ground Up™
This course is designed to provide you with a solid foundation in the most useful aspects of Image Processing in an engaging and easy-to-follow manner, using a programming-based approach. This course's goal is to present practical techniques while avoiding the pitfalls of abstract mathematical theories. To accomplish this, image processing techniques are explained in layman's terms rather than being mathematically proven to be correct.
This course is available in a variety of programming languages, allowing students to practice the techniques in their preferred language. The C++ programming language is used in this edition of the course.
You should be able to develop the 2-D Discrete Convolution algorithm in C++, develop Edge-Detection Algorithms in C++, compute an Image Histogram and Equalize it in C++, develop Gray Level Transformation Algorithms, suppress noise in images, understand all about operators such as Laplacian, Sobel, Prewitt, Robinson, and even give a lecture on image processing by the end of the course, and much more.
Who this course is for:
- If you are an absolute beginner to image processing , then take this course.
- If you are a seasoned programmer and want to get a quick guide to developing image processing algorithms in C++, then take this course.
- If you are a university student taking the theory of image processing in school, then take this course to learn how the theory is applied practically.
Requirements
- No programming experience needed - the instructor will teach you everything you need to know
- No paid software required - all programs will be created using CodeBlocks which is FREE
- You'll walk you through, step-by-step on how to download and install CodeBlocks
Course ratings: 4.1/5
Enroll here: https://www.udemy.com/course/image-processing-from-ground-uptm/
