Fundamentals of image morphology
Fundamentals of image morphology, available at $19.99, has an average rating of 4, with 18 lectures, based on 2 reviews, and has 6 subscribers.
You will learn about Fundamentals of applying morphology to images Create effects like morphological gradient, opening, closing, dilation, erosion, black hat and white hatusing opencv and python Learn basics of morphology using restructuring elements Leverage OpenCV and Python to perform moprphology This course is ideal for individuals who are Beginner python developers who are curious about image morphology It is particularly useful for Beginner python developers who are curious about image morphology.
Enroll now: Fundamentals of image morphology
Summary
Title: Fundamentals of image morphology
Price: $19.99
Average Rating: 4
Number of Lectures: 18
Number of Published Lectures: 18
Number of Curriculum Items: 18
Number of Published Curriculum Objects: 18
Original Price: $22.99
Quality Status: approved
Status: Live
What You Will Learn
- Fundamentals of applying morphology to images
- Create effects like morphological gradient, opening, closing, dilation, erosion, black hat and white hatusing opencv and python
- Learn basics of morphology using restructuring elements
- Leverage OpenCV and Python to perform moprphology
Who Should Attend
- Beginner python developers who are curious about image morphology
Target Audiences
- Beginner python developers who are curious about image morphology
Course Description
Learn to process images by learning fundamentals of image morphology using opencv and popular programming language Python.
Build a strong foundation in Image Processing with this tutorial for beginners.
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Understanding of how images are processed as array of RGB pixel intensities
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Learn basics of morphology using restructuring elements
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Leverage OpenCV and Python to perform moprphology to create effects like morphological gradient, opening, closing, dilation, erosion, black hat and white hat
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User Jupyter Notebook for programming
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Use step by step instructions along with plenty of examples
A Powerful Skill at Your Fingertips Learning the fundamentals of image morphology puts a powerful and very useful tool at your fingertips. Python, opencv and Jupyter are free, easy to learn, has excellent documentation.
Image morphology is ubiquitous in everyday applications such as object detection, X-ray enhancements, license plate detections, autonomous car driving, restoration of antique photos. 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 morphological tasks are becoming very popular. Amazon, Walmart, Google eCommerce websites are few famous example of image morphology in action. Convolutional neural network (CNN) uses these techniques to find type of images. Deep neural network inside CNN learns these patterns by trying out various kernels to match image with target image.
Image morphology tasks are vital in information retrieval and computer vision applications .
Big companies like Google, Facebook, Microsoft, AirBnB and Linked In already using image morphology in information retrieval and social platforms. They claimed that using image morphology has boosted productivity of entire company significantly.
Content and Overview
This course teaches you on how to morph images using opencv, python and Jupyter framework. You will work along with me step by step to build following answers
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Introduction to image morphology
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Learn how to apply restructuring element to image using convolution
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Build an jupyter notebook step by step using opencv and python and learn effects like morphological gradient, opening, closing, dilation, erosion, black hat and white hat.
What am I going to get from this course?
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Learn fundamentals of image morphology and build image morphological tasks from professional trainer from your own desk.
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Over 10 lectures teaching you how to perform image morphology using opencv and python
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Suitable for beginner programmers and ideal for users who learn faster when shown.
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Visual training method, offering users increased retention and accelerated learning.
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Breaks even the most complex applications down into simplistic steps.
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Offers challenges to students to enable reinforcement of concepts. Also solutions are described to validate the challenges.
Course Curriculum
Chapter 1: Introduction to image morphology
Lecture 1: Introduction
Lecture 2: Why Study image morphology
Lecture 3: About Author
Chapter 2: Set up
Lecture 1: Install Anaconda
Lecture 2: Install Opencv
Lecture 3: Install Open CV Part II
Chapter 3: Image processing basics
Lecture 1: Image processing Part I
Lecture 2: Image Processing Part II
Lecture 3: Basic Image Math
Chapter 4: Basic Morphological Operations in Python using opencv
Lecture 1: Utility functions
Lecture 2: Erosion
Lecture 3: Dilation
Lecture 4: Opening
Lecture 5: Closing
Chapter 5: Advanced morphology operations
Lecture 1: Morphological Gradient
Lecture 2: Top Hat or White Hat
Lecture 3: Black Hat
Lecture 4: Next Steps
Instructors
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Evergreen Technologies
Software Mentor
Rating Distribution
- 1 stars: 0 votes
- 2 stars: 0 votes
- 3 stars: 1 votes
- 4 stars: 0 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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