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Udemy - Digital image processing using OpenCV in c + +

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Udemy - Digital image processing using OpenCV in c + + (Size: 1.4 GB)
  0Image.cpp 1.6 KB
  0functions.h 1.4 KB
  0functions.hpp 20.7 KB
  0image.h 512 B
  0main.cpp 5.3 KB
  1. 01. Introduction to digital Image processing.mp4 51.2 MB
  10. 08. Horizontal and vertical flipping on an image.mp4 122.4 MB
  11. 09. How to left rotate and right rotate an image matrix.mp4 84.1 MB
  12. 10. How does Image thresholding and Otsu Binarization.mp4 120.3 MB
  13. 11. Implementation of Otsu Binarization to Image thresholding.mp4 124.1 MB
  14. 12, Logical operation logical And, logical Or, logical Xor, logical Nand.mp4 136.2 MB
  15. 13. Linear contrast saturation, scaling image, brightness,histogram equalization.mp4 151.9 MB
  16. 14. How iconvolution is implemented on an image matrix using a kernel.mp4 71.8 MB
  17. 15. convolution on filters.mp4 98.1 MB
  2. download project files here.html 0 B
  3. Q&A.mp4 7.5 MB
  4. 02. How to use pointers to store image pixels for both coloured and gray scale.mp4 26.8 MB
  5. 03. How to set and retrieve the pixel value at a particular location in an image.mp4 81.8 MB
  6. 04. How does pixels arranged in a matrix form an Image.mp4 81.6 MB
  7. 05. Declaring the list of image processing technique.mp4 87.3 MB
  8. 06. How to read an image and extract pixels into a matrix using openCV.mp4 74.9 MB
  9. 07. How to convert to gray scale and also pixels into an image using openCV.mp4 95.9 MB
  Bonus Resources.txt 409.6 B
  Get Bonus Downloads Here.url 204.8 B
  ▲ 24 total files

Description


Digital image processing using OpenCV in c++
https://DevCourseWeb.com

Published 11/2022
Created by Ezeuko Emmanuel
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 17 Lectures ( 3h 36m ) | Size: 1.38 GB

Image processing technique using OpenCV in C++

What you'll learn
The student will learn how to open, display , manipulate and store image pixels using the OPENCV library in C++
The student will learn how to manipulate 2D and 3D matrix pointer array
The code used in this course is very flexible and openCV can easily be replaced by anyother image library in C++
The student will learn how to apply logic operations on images in C++ including logicAnd, logicOr, logicXor
The student will also be able to implement all these technique listed above without the use of openCV library or other C++ libraries
The student will learn how to binarize images using Otsu technique for thresholding
The student will be able to implement filters on images using convolution e.g sobel filter, gauss filter, prewitt filter, edge detection, etc
Other C++ image processing technique to learn will include contrast saturation, histogram equalization, scaling and brightening of image

Requirements
Basic knowledge of C++ is required

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