Computer Vision and Image Processing - Fundamentals and Applications

Computer Vision and Image Processing - Fundamentals and Applications

Engineering Academy

Learn Without Limits: Free Engineering Courses

FREE

Advanced course for professionals

Anytime Learning
Learn from Industry Expert
Career Option Guideline

Why enroll

This course is ideal for students who want a strong foundation in computer vision and image processing. It helps learners prepare for research, higher studies, or industry roles by connecting theory with real-world applications.

Opportunities that awaits you!

Earn a course completion certificate

Add this credential to your LinkedIn profile, resume, or CV. Share it on social media and in your performance review

Career opportunities

Course content

The course is readily available, allowing learners to start and complete it at their own pace.

Computer Vision and Image Processing – Fundamentals and Applications

25 Lectures

1258 min

Computer Vision and Image Processing – Fundamentals and Applications
Preview
8 min
Introduction to Computer Vision
46 min
Introduction to Digital Image Processing
55 min
Image Formation: Radiometry
41 min
Shape From Shading
48 min
Image Formation: Geometric Camera Models - I
31 min
Image Formation: Geometric Camera Model - II
21 min
Image Formation: Geometric Camera Model - III
69 min
Image Formation in a Stereo Vision Setup
61 min
Image Reconstruction from a Series of Projections
42 min
Image Reconstruction from a Series of Projections 1
32 min
Image Transforms - I
42 min
Image Transforms - II
58 min
Image Transforms - III
48 min
Image Transforms - IV
74 min
Image Enhancement
61 min
Image Filtering-I
60 min
Image Filtering-II
64 min
Colour Image Processing - I
41 min
Colour Image Processing - II
77 min
Image Segmentation
54 min
Image Features and Edge Detection
70 min
Edge Detection
59 min
Hough Transform
38 min
Image Texture Analysis - I
58 min

Course details

This course introduces students to the basic ideas and methods used in Computer Vision and Image Processing. It explains how images are captured using cameras and how images are formed using different models. Students will learn fundamental image processing techniques such as enhancement, filtering, and transformation. The course covers feature extraction and selection methods used for pattern recognition and classification. Advanced topics like motion estimation, object detection and tracking, image classification, and scene understanding are also introduced. Concepts such as image fusion and image registration are explained with practical relevance. The course focuses on building a strong foundation rather than just tools. It helps students understand how vision systems work in real applications. Overall, the course prepares learners to explore advanced research and practical problems in computer vision.

Source: NPTEL IIT Guwahati [Youtube Channel]

Course suitable for

Automotive
Electrical
Engineering & Design
Project Management
Research & Developmnet

Key topics covered

Computer Vision and Image Processing – Fundamentals and Applications
Introduction to Computer Vision
Introduction to Digital Image Processing
Image Formation: Radiometry
Shape from Shading
Image Formation: Geometric Camera Models – I
Image Formation: Geometric Camera Models – II
Image Formation: Geometric Camera Models – III
Image Formation in a Stereo Vision Setup
Image Reconstruction from a Series of Projections
Image Reconstruction from a Series of Projections – I
Image Transforms – I
Image Transforms – II
Image Transforms – III
Image Transforms – IV
Image Enhancement
Image Filtering – I
Image Filtering – II
Colour Image Processing – I
Colour Image Processing – II
Image Segmentation
Image Features and Edge Detection
Edge Detection
Hough Transform
Image Texture Analysis – I

Our Alumni Work At

Ex-Tata Steel , Precision Engineering Division , West Bengal university

Why people choose EveryEng

Industry-aligned courses, expert training, hands-on learning, recognized certifications, and job opportunities—all in a flexible and supportive environment.

Industry Veteran
Trainer Review

SLB

EveryEng stands out with its exceptional learning materials, expert guidance, and real-world applications. It can truly help to enhance skills and knowledge, making more confident professional.

Rajeev Panda

Project Manager

Pune, India

ITER

The user experience on EveryEng is fantastic! The platform is simple, efficient, and provides excellent educational content. It helps developing new skills and gain confidence in engineering career.

Nirbhay Naik

Engineer

France

Heelium

EveryEng is my go-to platform for engineering education. The courses are easy to follow, and the instructors are very knowledgeable. The platform has helped my team gain confidence and expertise in our field.

Siddharth Jain

Co-Founder

Pune, India

Lummus

I love how EveryEng makes complex engineering concepts easy to understand. The platform offers valuable insights, great mentors, and a supportive community. It's truly a one-stop solution for engineers worldwide.

Siddharth Mishra

Project Manager

Frankfrut, Germany

Electric Hydrogen

EveryEng is more than just a training platform - it's a career catalyst! Their expert instructors, real-world projects, and job assistance helped engineers transition into a successful engineering professional.

Nirdesh Patel

Director of Engineering

Austin, USA

❮

❯

Engineering Academy

Learn Without Limits: Free Engineering Courses

Questions and Answers

No questions yet - Be the first one to ask!

Computer Vision and Image Processing - Fundamentals and Applications

Engineering Academy

FREE

Advanced course for professionals

Computer Vision and Image Processing - Fundamentals and Applications

Engineering Academy

Why enroll

Opportunities that awaits you!

Earn a course completion certificate

Career opportunities

Course content

Computer Vision and Image Processing – Fundamentals and Applications

Course details

Course suitable for

Key topics covered

Our Alumni Work At

Why people choose EveryEng

SLB

Rajeev Panda

ITER

Nirbhay Naik

Heelium

Siddharth Jain

Lummus

Siddharth Mishra

Electric Hydrogen

Nirdesh Patel

Engineering Academy

Questions and Answers

More from Same Author

Engineering Academy

Engineering Academy

Engineering Academy

Earning and Growth option in same Industry Domain

MANAS PATNAIK

MILIND AMBARDEKAR

MILIND AMBARDEKAR

More Training & Development option to expand your reach

Trinergy Engineering

AALOK SHARMA

Trinergy Engineering