MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + .srt | Duration: 64 lectures (6h 30m) | Size: 2.95 GB
Edge-Detection Algorithms , Convolution, Filter Design, Gray-Level Transformation, Histograms, OpenCV etc.

What you'll learn:
Be able to develop the 2-D Convolution algorithm in Java
Be able to develop Edge-Detection Algorithms in Java
Be able to develop Spatial Filtering Algorithms in Java
Be able to compute an Image Histogram and Equalize it in Java
Be able to develop Gray Level Transformation Algorithms in Java
Be able to perform Geometric Operations on Images
Be able to perform Image Enhancement Techniques such as Blurring and Sepia
Be able to suppress noise in images
Be able to give a lecture on Digital Image Processing
Understand all about operators such as Laplacian, Sobel, Prewitt, Robinson etc.
Apply Edge-Detection Operators like Laplacian, Sobel, Prewitt, Robinson etc. on Images
Be able to perform Arithmetic and Boolean Operations like Addition, Subtraction, AND, OR etc. on images
Be able to use the OpenCV Library for Java
Requirements
No programming experience needed - I'll teach you everything you need to know
No paid software required - all programs will be created using CodeBlocks which is FREE
I'll walk you through, step-by-step on how to download and install IntelliJ IDE
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 Java programming language.
By the end of the course you should be able to develop the 2-D Discrete Convolution algorithm in Java, develop Edge-Detection Algorithms in Java, develop Spatial Filtering Algorithms in Java, compute an Image Histogram and Equalize it in Java, to develop Gray Level Transformation Algorithms, suppress noise in images, understand all about operators such as Laplacian, Sobel, Prewitt, Robinson, even give a lecture on image processing and so much more. Please take a look at the full course curriculum.
REMEMBER : I have no doubt you will love this course. Also it comes with a FULL money back guarantee for 30 days! So put simply, you really have nothing to loose and everything to gain.
Sign up and lets start manipulating some pixels.
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 Java, 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

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