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Computer Vision and Image Processing - Fundamentals and Applications

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Engineering Academy

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Preview this course

Computer Vision and Image Processing - Fundamentals and Applications

  • Trainers feedback

    4

    (6 reviews)

    Engineering Academy

    Engineering Academy

    Learn Without Limits: Free Engineering Courses

  • Course type

    Watch to learn anytime

  • Course duration

    1258 Min

  • Course start date & time

    Access anytime

  • Language

    English

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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Course content

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

Video info icon

Computer Vision and Image Processing – Fundamentals and Applications

25 Lectures

1258 min

  • Lesson icon

    Computer Vision and Image Processing – Fundamentals and Applications

    Preview icon

    Preview

    8 min

  • Lesson icon

    Introduction to Computer Vision

    46 min

  • Lesson icon

    Introduction to Digital Image Processing

    55 min

  • Lesson icon

    Image Formation: Radiometry

    41 min

  • Lesson icon

    Shape From Shading

    48 min

  • Lesson icon

    Image Formation: Geometric Camera Models - I

    31 min

  • Lesson icon

    Image Formation: Geometric Camera Model - II

    21 min

  • Lesson icon

    Image Formation: Geometric Camera Model - III

    69 min

  • Lesson icon

    Image Formation in a Stereo Vision Setup

    61 min

  • Lesson icon

    Image Reconstruction from a Series of Projections

    42 min

  • Lesson icon

    Image Reconstruction from a Series of Projections 1

    32 min

  • Lesson icon

    Image Transforms - I

    42 min

  • Lesson icon

    Image Transforms - II

    58 min

  • Lesson icon

    Image Transforms - III

    48 min

  • Lesson icon

    Image Transforms - IV

    74 min

  • Lesson icon

    Image Enhancement

    61 min

  • Lesson icon

    Image Filtering-I

    60 min

  • Lesson icon

    Image Filtering-II

    64 min

  • Lesson icon

    Colour Image Processing - I

    41 min

  • Lesson icon

    Colour Image Processing - II

    77 min

  • Lesson icon

    Image Segmentation

    54 min

  • Lesson icon

    Image Features and Edge Detection

    70 min

  • Lesson icon

    Edge Detection

    59 min

  • Lesson icon

    Hough Transform

    38 min

  • Lesson icon

    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

wood/Bharath Engineering CollegeKBR/IRTTwood/Bharath Engineering CollegeMaryMount California UniversityKBR/IRTTGenser Energy Ghana LtdAeroDef Nexus LLPInventor Engineering solutionsEx-Tata Steel , Precision Engineering Division , West Bengal universityAssystem StupEEProCAD tech solutonsATKINSREALISMangalam college of EngineeringSearching for jobGulf Engineering & Consultant Gazprom International LimitedNAAir ProductsSPES Consultancy Tecnimont Spa Abu DhabiNIT SilcharJabalpur Engineering College Wex Technologies Pvt.LtdGARGI MEMORIAL INSTITUTE OF TECHNOLOGYSlimane DridiabdWhatispiping.comHoly Angel UniversityCYIENTEnergoprojektifluids engineering

Why people choose EveryEng

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

Engineering Academy

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