Learn OpenCV for Computer Vision

Learn OpenCV for Computer Vision, available at $19.99, has an average rating of 5, with 63 lectures, 10 quizzes, based on 1 reviews, and has 11 subscribers.

You will learn about To study the process of Image formation and Image manipulation To study about image processing To impart knowledge on image enhancement techniques To understand the significance of vision in robotics To understand the process of integrating intelligence in Vision This course is ideal for individuals who are Anyone interested in the field of computer vision or Anyone interested in image processing It is particularly useful for Anyone interested in the field of computer vision or Anyone interested in image processing.

Enroll now: Learn OpenCV for Computer Vision

Summary

Title: Learn OpenCV for Computer Vision

Price: $19.99

Average Rating: 5

Number of Lectures: 63

Number of Quizzes: 10

Number of Published Lectures: 63

Number of Published Quizzes: 10

Number of Curriculum Items: 73

Number of Published Curriculum Objects: 73

Original Price: ₹3,299

Quality Status: approved

Status: Live

What You Will Learn

To study the process of Image formation and Image manipulation
To study about image processing
To impart knowledge on image enhancement techniques
To understand the significance of vision in robotics
To understand the process of integrating intelligence in Vision

Who Should Attend

Anyone interested in the field of computer vision
Anyone interested in image processing

Target Audiences

Anyone interested in the field of computer vision
Anyone interested in image processing

If you ever wondered what the logic and the program is behind on how a computer is interpreting the images that are being captured, then this is the correct course for you. In this course we will be using Open CV Library. This library comprises of programming functions mainly aimed at real-time computer vision.

At this point, you would be wondering what is the purpose of learning Computer Vision? This is an area segment in Artificial Intelligence where computer algorithms are used to decipher what the computer understands from captured images. This field is currently used by various leading companies like Google, Facebook, Apple etc. You are having Computer Vision related aspects even in mobile phone applications like Snapchat, Instagram, Google Lens, etc.

In this course, we will cover the basics of Computer Vision and create a project. At this point, you would be wondering what is the purpose of learning Computer Vision? This is an area segment in Artificial Intelligence where computer algorithms are used to decipher what the computer understands from captured images. This field is currently used by various leading companies like Google, Facebook, Apple etc. You are having Computer Vision related aspects even in mobile phone applications like Snapchat, Instagram, Google Lens, etc.

In this course, we will cover the basics of Computer Vision and create a project.

Course Curriculum

Chapter 1: About the Program

Lecture 1: Course Introduction

Lecture 2: Course Outline

Chapter 2: Introduction to Computer Vision

Lecture 1: What is Computer Vision?

Lecture 2: Applications of Computer Vision

Lecture 3: Difference between Computer Vision & DIP

Lecture 4: Tools for Computer Vision

Chapter 3: Software Installation

Lecture 1: Installing Anaconda Distribution

Lecture 2: Handling Jupyter Notebooks 1

Lecture 3: Handling Jupyter Notebooks 2

Lecture 4: Handling Jupyter Notebooks 3

Lecture 5: Handling Jupyter Notebooks 4

Lecture 6: Handling Jupyter Notebooks 5

Lecture 7: Installation of OpenCV

Chapter 4: Fundamentals of OpenCV

Lecture 1: Fundamentals of Image Processing

Lecture 2: Reading Images

Lecture 3: Video Loading

Lecture 4: Changing Color Spaces

Lecture 5: Changing Color Spaces (Jupyter)

Lecture 6: Pixel Manipulation

Lecture 7: Pixel Manipulation – Initial Setup (Jupyter)

Lecture 8: Pixel Manipulation – Operation 1 (Jupyter)

Lecture 9: Pixel Manipulation – Operation 2 (Jupyter)

Lecture 10: Region of Interest

Lecture 11: Region of Interest (Jupyter)

Chapter 5: Image Processing – Image Manipulation

Lecture 1: What is Image Resizing?

Lecture 2: Image Resizing (Jupyter)

Lecture 3: What is Image Blurring?

Lecture 4: Image Blurring (Jupyter)

Lecture 5: What is Image Pyramid?

Lecture 6: Image Pyramid (Jupyter)

Chapter 6: Image Processing – Arithmetic Operations

Lecture 1: What is Arithmetic Operation?

Lecture 2: What is Image Blending?

Lecture 3: Image Blending (Jupyter)

Lecture 4: What is Image Subtraction?

Lecture 5: Image Subtraction (Jupyter)

Lecture 6: What is Bitwise Operation?

Lecture 7: Bitwise Operation (Jupyter)

Chapter 7: Edge Detection

Lecture 1: Edge Detection

Lecture 2: Edge Detection (Jupyter)

Chapter 8: Morphological Operations

Lecture 1: Morphological Transformations

Lecture 2: Morphological Transformations – Initial Setup (Jupyter)

Lecture 3: Understanding Erosion and Dilation

Lecture 4: Morphological Transformations – Erosion & Dilation (Jupyter)

Lecture 5: Understanding Morphological Techniques

Lecture 6: Morphological Transformations – Opening & Closing (Jupyter)

Chapter 9: Image Thresholding & Filtering

Lecture 1: Simple Thresholding

Lecture 2: Simple Thresholding (Jupyter)

Lecture 3: What is Noise in an Image?

Lecture 4: Sobel Filter-Using Gradients

Lecture 5: Sobel filter-Using Gradients (Jupyter)

Lecture 6: Laplacian Filter-Using Gradients

Lecture 7: Laplacian Filter-Using Gradients (Jupyter)

Chapter 10: Image Segmentation

Lecture 1: What is Image Segmentation?

Lecture 2: Understanding Cluster based Segmentation

Lecture 3: Image Segmentation (Jupyter)

Chapter 11: Feature Extraction

Lecture 1: What is Feature Matching?

Lecture 2: Understanding HOG

Lecture 3: Feature Matching – Using HOG (Jupyter)

Chapter 12: Motion Detection

Lecture 1: What is Motion Detection?

Lecture 2: Understanding Dense Optical Flow

Lecture 3: Dense Optical Flow (Jupyter)

Chapter 13: Project

Lecture 1: Cartoonify

Chapter 14: About the Program

Lecture 1: Course Conclusion

Instructors

Prag Robotics
Robotics & A.I.

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Frequently Asked Questions

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You can view and review the lecture materials indefinitely, like an on-demand channel.

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