Computer Vision Fundamentals with OpenCV and C#

Using OpenCVSharp Wrapper Library

WATCH THE FIRST VIDEO FOR A SURPRISE

What you’ll learn

  • They will be able to develop applications such as barcode reading , text segmentation, object tracking, OCR techniques, document control.

Course Content

  • Coupon Code –> 1 lecture • 1min.
  • Introduction –> 1 lecture • 7min.
  • CHAPTER 1- INTRODUCTION TO WRAPPERS AND TABLE OF CONTENTS OF THE COURSE –> 2 lectures • 8min.
  • CHAPTER 2-IMAGE LOADING, DISPLAYING AND SAVING –> 1 lecture • 16min.
  • CHAPTER 3-IMAGE BASICS –> 1 lecture • 9min.
  • CHAPTER 4-MAT CLASS OF OPENCV –> 7 lectures • 43min.
  • CHAPTER 5 –> 6 lectures • 35min.
  • CHAPTER 6- THRESHOLDING –> 4 lectures • 20min.
  • CHAPTER 7- HISTOGRAM –> 2 lectures • 16min.
  • CHAPTER 8-FILTERING IMAGES –> 7 lectures • 39min.

Computer Vision Fundamentals with OpenCV and C#

Requirements

  • Some C# Programming Language Experience and a laptop.

 

WATCH THE FIRST VIDEO FOR A SURPRISE

Please meet  the  first video course ever   in Computer Vision Fundamentals covered using C# programming language and OpenCV wrapper OpenCVSharp .

 

This course  will teach you how to enter the wonderful world of computer vision using C# programming language and one of the most  widely used open source Computer Vision Library, namely the OpenCV. You will learn in particular, how to utilize a popular C# wrapper of OpenCV, which is  the OpenCVSharp.

Once you grasp the fundamentals of Computer Vision following this course, you will then be able to follow the  more advanced future courses in Computer Vision and Deep Learning field  that I will be recording.

In this course, you will learn the fundamentals of image processing which will open the way for you to tackle problems such as Barcode Recognition,  Webcam programming, Text Segmentation and OCR techniques  to read text from scanned documents.

 

You will learn in particular:

How to read images from disk and display them and save images to disk

Learn about Mat type object of OpenCV

Image pixel manipulations

Drawing on images

Locating a Region of Interest area and Cropping

Gray Scale Image conversion

Image Thresholding Techniques

Image Binarization

Image Bitwise operations

Image Filters- Image Convolution

Gaussian Blur

Median Blur

HighPass filters

Sobel, Scharr Edge Detection methods

Canny Edge Detection

OpenCV Trackbar Programming for changing input parameters by a user control

Shape Contour detection

Contour Repair

Image Resizing

Image Rotation

Image Flipping

Morphological Operations(Erosion, Dilation,Opening,Closing,TopHat,BlackHat)

Contour Smoothing

Convex Hull, Non-Convex defects

Shape Matching

Image Masking

Image Histograms, Histogram Plotting

Real-life Applications (step by step explanations and coding ) : Barcode detection and decoding from a food package,Object Tracking via its color using  a webcam,  text OCR with  tesseract plus OpenCV)

Plus the “Assignments” designed to help you get advanced skills in computer vision ( Hand Gesture Detection, Color image channel histograms, Coin counting, Textile Defect Detection)

 

With my best regards,

Frank Ozz