Computer Vision

intermediate67% OFF

Computer Vision

2h 55m
25 Lectures
4014 Students Enrolled

Delve into Computer Vision fundamentals, mastering Convolutional and Recurrent Neural Networks, while gaining insights into diverse applications and digital imaging workflows, in this online course for both beginners and those seeking a refresher, unlocking opportunities in the realm of artificial intelligence.

4.7(205 Reviews)

Course Overview

Welcome to our online course on Computer Vision, a fascinating subcategory of artificial intelligence (AI) that delves into the realm of visual data processing, analysis, and interpretation. In this course, you will embark on a journey to understand how digital systems can be designed and utilized to enable computing devices to accurately identify objects and individuals within digital images, facilitating appropriate and informed actions. The core of computer vision lies in the ...

What You Will Learn

Image formation
Anaconda and Open CV
Image processing with Open CV and Python
Image transformation and Morphological operations
Edge and Corner detection
High Transformation
Image segmentation and image clustering
Object detection, tracking, and image classification

Requirements

Basic understanding of Python
Basic understanding of AI
A laptop/computer with active internet connection

Course Curriculum

5 Sections - 25 Lessons

Module 15 lessons

Session 1 : Introduction to Computer Vision
8m
Session 5: Image Processing with OpenCV and Python - Hands on Session
11m
Session 4 : Installation of Anaconda and OpenCV - Hands on Session
3m
Session 3 : Image Representation - Theory+Hands on Session ( Flipping image, Contrast reduction)
7m
Session 2 : Image Formation
11m

Module 25 lessons

Session 5: Histogram Equalization - theory+Hands on session ( Histogram equalization)
6m
Session 4 : Morphological Operations - Theory +Hands on session ( opening, closing, erosion, dialtion)
4m
Session 3: Image Transformation-I - Hands on session ( Linear, log and Power law transformation)
5m
Session 2: Image Transformation-I
9m
Session 1: Image Enhancement - Hands on session (Removing Noise)
13m

Module 36 lessons

Session 3: Corner Detection 1
4m
Session 6: Hough Transform - Hands on session
2m
Session 5: Hough Transform - Line
7m
Session 4: Corner Detection 2 - Theory +Hands on session
5m
Session 2: Edge Detection 2 - Canny Edge Detection - Hands on session
2m
Session 1: Edge Detection 1
10m

Module 4 4 lessons

Session 4 :Image Clustering II - K Medoids - Theory+Hands on session
7m
Session 3 :Image Clustering I - K means - Theory+Hands on session
8m
Session 2 :Image Segmentation II - WaterShed Segmentation
2m
Session 1 : Image Segmentation I - Introduction
6m

Module 55 lessons

Session 5: Object Tracking - Theory + Hands on session
5m
Session 4: Object Detection - Theory + Hands on session
7m
Session 3: Dimensionality Reduction with PCA -Reading Material
5m
Session 2: Image Classification II - KNN with Handson material
5m
Session 1: Image Classification I - Naive Bayes - Theory+Hands on session
12m

About Instructor

Dr. Mayuri AVR

4.7 Rating205 Reviews4,014 Students1 Courses

Dr. AVR Mayuri is currently working as Senior Assistant Professor (Grade 2) in School of Computing Science Engineering in VIT Bhopal University. She has obtained her doctorate degree from Mewar University, Chittorgarh in the year 2016. She has done her Masters in Computer Science and Engineering from JNTU Hyderabad and Bachelor's degree in Computer Science and Engineering from Madurai Kamaraj Univerisity in the year 2010 and 2002 respectively. In the year 2018, she has successfully completed and certified for “IUCEE International Engineering Educator Certification Program” which is focusing on improving Engineering Education. She has served in different reputed academic institutes for more than 20 years. She has nearly 12 years of research experience. She has 3 Patents and 23 Publications in Journals (indexing with SCI, WoS, Scopus) and various Int./National, IEEE Conferences. Apart from academics, she also headed various administrative positions like Head of the Department, NBA coordinator, Research Coordinator and various institute level committees. Her area of research interests includes Artificial intelligence, Machine Learning, Data Analytics, Data Mining, Computer Networks and IoT.

Frequently Asked Questions

Who is this course designed for?

This course is ideal for learners who need a refresher on computer vision's fundamental ideas or those seeking a brief introduction to its capabilities. Whether you're a beginner or an experienced professional, this course provides valuable insights.

How will this course benefit my career?

By completing this course, you'll gain a solid understanding of computer vision, unlocking a wide range of career opportunities. You'll be equipped to identify application fields, comprehend digital imaging workflows, and confidently navigate challenges in this rapidly evolving field.

Is this course suitable for those with no prior coding experience?

While some familiarity with coding may be helpful, the course is designed to be accessible to individuals with varying levels of coding experience. It provides a foundational understanding of computer vision concepts without requiring advanced programming skills.

Dr. Mayuri AVR

1 Courses4,014 Students

67% off

₹999

₹2,999

This course includes:

Image formation
Anaconda and Open CV
Image processing with Open CV and Python
Image transformation and Morphological operations
Edge and Corner detection

Course Features

Students Enrolled4,014
Lectures25
Sections5
Duration2h 55m
Skill Levelintermediate
Languageenglish
Last UpdatedApr 04, 2026

Instructor Stats

Rating4.7
Reviews205

Computer Vision

Course Overview

What You Will Learn

Requirements

Join Thousand of Happy Students!

Course Curriculum

About Instructor

Dr. Mayuri AVR

Frequently Asked Questions

Student Reviews

Dr. Mayuri AVR

₹999

This course includes:

Course Features

Instructor Stats