Fundamentals of Computer Vision

Learn the basic concepts, terminology, and techniques in computer vision

  • Understand the image formation process
  • Introduction to OpenCV
  • Theoretical and practical foundations
  • Concepts explained in English and Malayalam
Registration Fee : ₹700.00/-

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Course Curriculum

Day 1
  •  Introduction to Computer Vision
    • Applications
    • Challenges
    • Important Conferences/Journals
  • Introduction to Images
    • Image as a Matrix
    • Color spaces
  •  Basics of OpenCV
Day 2
  • Image Augmentation with Examples
  • Types of Noises
  • Filtering Mechanisms
  • Image Histogram representation
Day 3
  • Image Enhancement: 
    • Histogram Equalization
    • Gamma Correction
  • Binary Vision: Thresholding

About the course

Every conceivable industry has seen a significant increase in image and video data in recent years due to the development of digital capture technology and the internet's steady emergence as a visual phenomenon.  As a result of its numerous uses in processing the enormous influx of image and video data, computer vision has emerged as a promising field for research and development. Computer vision is the field of computer science that focuses on replicating parts of the complexity of the human vision system and enabling computers to identify and process objects in images and videos in the same way humans do. Computer vision techniques are significant for various applications such as: medical diagnosis, intelligent surveillance systems, self-driving cars, remote sensing, aerial images, underwater imaging and face recognition. This course provides an introduction to computer vision techniques including the theory and practice of various fundamentals. It also provides exposure to image enhancement and binary vision techniques. The course is aimed at anyone interested in image or video processing, or in gaining a general understanding of real-world perception.

 

Subscribers can access the recorded video classes for a duration of three months after the LIVE sessions are concluded. E-certificates will be issued by Manorama Horizon on the successful completion of the course.

Prerequisites

Recommended for anyone with high motivation to learn the various aspects of computer vision, who passed Class XII with mathematics as one of the subjects

System Requirements

This course requires a system with a steady internet connection

Class Timings

Date : 31st January 2023 - 02nd February 2023

Time : 8:30 PM to 9:30 PM IST

Resource Person

Jeena Thomas

Jeena Thomas is a Ph.D scholar in the Department of Computer Science and Engineering at the Indian Institute of Information Technology, Kottayam, India. She holds a Master of Engineering degree in Computer Science and Engineering from Anna University, Chennai. Jeena has an academic experience of 10 years with 7 years of teaching as an Assistant Professor and 3 years of research. She has been selected as the Doctoral Fellow at IIT Palakkad Technology IHub Foundation (IPTIF). Her areas of research include computer vision, image processing, object detection, image restoration, deep learning, and visual interpretability.  Her paper entitled “Effectual Single Image Dehazing with Color Correction Transform and Dark Channel Prior” secured the Best Paper Award at the 16th International Conference on Information Processing (ICInPro-2021) held in India.


Jeena Thomas is the recipient of the prestigious fellowship, Women Scientist Scheme-A (WOS-A) by the Department of Science and Technology, Ministry of Science and Technology, Government of India. She was selected as the only one from Kerala and one among the nine women scientists from India during 2020-21 for Engineering and Technology stream.

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