Hands-On Image Analytics Using OpenCV

Description:

This workshops aims at providing a hands-on experience to perform image analytics using edge detection and morphological operations using OpenCV and vanilla Python. This is a basic tutorial on computer vision to build fundamentals and see how can we do image analytics with traditional CV techniques

What do we aim to cover:

​1. How do computers store and understand images

2. Why Traditional CV in the age of CNNs/GANs

3. Cool stuff using image histograms

4. Leveraging Convolution Operation

5. Edge Detection

6. Mathematical morphology

Prerequisites:

There are no specific pre-requisites, however knowledge of OpenCV API, Matplotlib and Numpy would help

Content URLs:

I am developing the content on the following Github Repo : Foundation Course:

Section 1: Basics

• How Do Computers See Images
• Resolution
• Brightness/Contrast

Section 2: Image Enhancement

• Histograms and their cool properties
• The CONVOLUTION operation

Section 3: Edge and Morphology

• Playing with Edges
• Morphological Operations

Exercises would be based out of:

• Basics
• Let's Do Some Analytics

Speaker Info:

I am a Data Scientist at Deloitte Consulting. I consult clients from different industries on their data science problems. Python is my bread and butter and I use it extensively for my day to day machine learning and data analysis tasks. I am postgraduate from CSRE, IIT Bombay in Geoinformatics and Natural Resources Engineering. Majority of my work at CSRE was focused in satellite image processing using Python.

Speaker Links:

Following are some links to my social media accounts:

• LinkedIn
• Github