Computer Vision and Image Processing - Fundamentals and Applications | EveryEng

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Computer Vision and Image Processing - Fundamentals and Applications

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1258 min

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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.

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Is this course for you?

You should take this if

You work in Automotive
You're a Electrical professional
You have 3+ years of hands-on experience in this field
You want to build skills in Engineering & Design, Project Management

You should skip if

You're new to this field with no prior experience
You need a different specialisation outside Electrical
You need live interaction with an instructor

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

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

Course content

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

25 lectures20 hr 58 min

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Skills & tools you'll gain

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Project Management

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What learners say about this course

Boora Mahesh civil engineer

Mar 14, 2026

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Feb 27, 2026

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Bhavani S Student

Feb 22, 2026

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Feb 15, 2026

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