Matlab for Image Processing
Learn Image Processing using Matlab for beginner
Updated on Jun, 2025
Language - English
IT and Software ,Other IT and Software,
Lectures -25
Duration -2.5 hours
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Course Description
This will be a basic course that will allow the participants to understand the basic concepts of image processing and their practical applications using MATLAB. Previous experience in the area of image processing is not necessary; hence, it will be pretty ideal for someone getting started with this exciting field.
Students will learn how to manipulate images using simple processes such as resizing and rotating, flipping, brightening or darkening, and changing contrast. Finally, participants will be able to do simple filtering and transformations on images upon completion of the core lessons.
This set of practical exercises will not only solidify knowledge of the core concepts but also equip students with the confidence to solve real-world problems using MATLAB.
The course is strongly practice-oriented, and many exercises are done in coding, each of them developing just one aspect. By the end of this course, participants will have acquired sufficient abilities to deal with further advanced tasks of image processing, thus making the ground ready for future exploration in this fast-growing field.
Goals
- Fundamental Image Processing Techniques
- Build Confidence in Implementing Image Processing Algorithms
- Develop Practical Skills
- Analytical Thinking Through Image Analysis
Prerequisites
- Laptop
- Internet
- Matlab Online Account
Curriculum
Check out the detailed breakdown of what’s inside the course
Basic Image Processing using Matlab
16 Lectures
-
Course Opening
01:56
01:56
-
Introduction
01:04
01:04
-
Matlab Online
07:51
07:51
-
Basic Commands / Functions - #1
06:40
06:40
-
Basic commands and functions - #2
20:16
20:16
-
Image processing methods - Image Conversion
07:56
07:56
-
Image processing methods - Morphological Operations
11:06
11:06
-
Image processing methods - Image Segmentation
14:06
14:06
-
Image processing methods - Histogram Equalization
04:53
04:53
-
Image processing methods - Add and Remove Noise from an image
07:33
07:33
-
Image processing methods - Image collage
02:54
02:54
-
Image processing methods - Basic Image Arithmetic
07:04
07:04
-
Image processing methods - Negative Image (max intensity)
03:01
03:01
-
Image processing methods - Flip image horizontally and vertically
03:57
03:57
-
Image processing methods - Channel Separation (Red, Green, Blue Channels)
04:56
04:56
-
Image processing methods - Image Filtering using conv2
08:08
08:08
Learning by use cases
9 Lectures
Instructor Details
Onesinus Saut Parulian
Onesinus Saut Parulian is a practitioner in the IT field, specifically in the field of software development since 2015. His educational background was in computer and network engineering at a vocational high school which was then continued with a major in informatics engineering. has a hobby of writing ebooks and sharing knowledge. He really likes the field of programming, making the author continue his postgraduate education in the field of computer science in 2023 while continuing his professional career as an Engineering Manager at a startup.
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