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Fundamentals of Image thresholding and masking

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Fundamentals of Image thresholding and masking, available at $19.99, has an average rating of 4.5, with 16 lectures, based on 2 reviews, and has 17 subscribers.

You will learn about Understanding of how images are processed as array of RGB pixel intensities Learn basics of image thresholding Leverage OpenCV and Python to perform thresholding to create effects like sketch and extract foreground and background objects Learn effects like bilateral thresholding, gaussian blur, median blur and average blur This course is ideal for individuals who are Beginner python developers curious about image processing It is particularly useful for Beginner python developers curious about image processing.

Enroll now: Fundamentals of Image thresholding and masking

Summary

Title: Fundamentals of Image thresholding and masking

Price: $19.99

Average Rating: 4.5

Number of Lectures: 16

Number of Published Lectures: 16

Number of Curriculum Items: 16

Number of Published Curriculum Objects: 16

Original Price: $27.99

Quality Status: approved

Status: Live

What You Will Learn

  • Understanding of how images are processed as array of RGB pixel intensities
  • Learn basics of image thresholding
  • Leverage OpenCV and Python to perform thresholding to create effects like sketch and extract foreground and background objects
  • Learn effects like bilateral thresholding, gaussian blur, median blur and average blur

Who Should Attend

  • Beginner python developers curious about image processing

Target Audiences

  • Beginner python developers curious about image processing

Course Description

Learn to process images by learning fundamentals of image thresholding using opencv and popular programming language Python.

Build a strong foundation in Image Processing with this tutorial for beginners.

  • Understanding of how images are processed as array of RGB pixel intensities

  • Learn basics of thresholding

  • Leverage OpenCV and Python to perform thresholding to create effects like sketch and extract foreground and background objects

  • User Jupyter Notebook for programming

  • Use step by step instructions along with plenty of examples

A Powerful Skill at Your Fingertips  Learning the fundamentals of image thresholding puts a powerful and very useful tool at your fingertips. Python, opencv and Jupyter are free, easy to learn, has excellent documentation.

Image thresholding is ubiquitous in everyday applications such as edge detection, advertisement image quality improvements. Its also pre-requisite for computer vision applications using machine learning.

Jobs in image processing area are plentiful, and being able to learn opencv and python will give you a strong edge.

Image thresholding tasks are becoming very popular. Amazon, Walmart, Google eCommerce websites are few famous example of image thresholding in action. Convolutional neural network (CNN) uses these techniques to find foreground and background objects.

Image processing tasks are vital in information retrieval and computer vision applications . 

Big advertising companies and Hollywood studios already using image thresholding in improving image quality.

Content and Overview  

This course teaches you on how to smooth images using opencv, python and Jupyter framework.  You will work along with me step by step to build following answers

  • Introduction to image thresholding

  • Learn how to apply thresholding  to image

  • Build an jupyter notebook step by step using opencv and python and learn effects like bilateral thresholding, gaussian blur, median blur and average blur.

What am I going to get from this course?

  • Learn fundamentals of image thresholding and build image thresholding tasks from professional trainer from your own desk.

  • Over 10 lectures teaching you how to perform image thresholding using opencv and python

  • Suitable for beginner programmers and ideal for users who learn faster when shown.

  • Visual training method, offering users increased retention and accelerated learning.

  • Breaks even the most complex applications down into simplistic steps.

  • Offers challenges to students to enable reinforcement of concepts. Also solutions are described to validate the challenges.

Course Curriculum

Chapter 1: Introduction

Lecture 1: Introduction

Lecture 2: About Author

Chapter 2: Set up

Lecture 1: Install Anaconda

Lecture 2: Install openCV part I

Lecture 3: Install Opencv part II

Chapter 3: Image fundamentals

Lecture 1: Image Math introduction

Lecture 2: Anatomy of an image

Lecture 3: Basic operations in image

Lecture 4: Math operations on image

Chapter 4: Convolution Basics

Lecture 1: Convolution math basics

Lecture 2: Show me the code

Lecture 3: Convolution in action

Chapter 5: Thresholding

Lecture 1: Simple Thresholding

Lecture 2: Otsu's thresholding

Lecture 3: Adaptive thrsholding

Lecture 4: Next Steps

Instructors

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  • 4 stars: 1 votes
  • 5 stars: 1 votes

Frequently Asked Questions


How long do I have access to the course materials?


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


Can I take my courses with me wherever I go?


Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!

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