What you'll learn

Understand the concepts in Image Processing
Understand the Scientific Python Ecosystem
Image processing and visualization using NumPy and Matplotlib
Image Processing with scikit-image

Requirements

Windows PC/ Raspberry Pi with Internet Connection
Zeal and enthusiasm to learn new things
a burning desire to take your career to the next level
Basic Programming and Python Programming Basics
basic mathematics knowledge will be greatly appreciated

Description

Become a Master in Image Processing with Python 3 and acquire employers' one of the most requested skills of 21st Century! An expert level image processing and computer vision professional can earn minimum $100000 (that's five zeros after 1) in today's economy.

This is the most comprehensive, yet straight-forward course for the Image Processing with Python 3 on Udemy! Whether you have never worked with Image Processing before, already know basics of Python, or want to learn the advanced features of scikit-image with Python 3, this course is for you! In this course we will teach you Scikit-image with Python 3, Jupyter, NumPy, and Matplotlib.

(Note, we also provide you PDFs and Jupyter Notebooks in case you need them)

With over 80 lectures and more than 10.5 hours of video this comprehensive course leaves no stone unturned in teaching you Image Processing with Python 3!

This course will teach you Image Processing in a very practical manner, with every lecture comes a programming video and a corresponding Jupyter notebook that has Python 3 code! Learn in whatever manner is the best for you!

We will start by helping you get Python3, NumPy, matplotlib, Jupyter, and Scikit-learn installed on your Windows computer and Raspberry Pi.

We cover a wide variety of topics, including:

Basics of Scientific Python Ecosystem

Basics of Digital Image Processing

Basics of NumPy and Matplotlib

Installation of Python 3 on Windows

Setting up Raspberry Pi

Tour of Python 3 environment on Raspberry Pi

Jupyter installation and basics

NumPy Ndarrays

Array Creation Routines

Basic Visualization with Matplotlib

Ndarray Manipulation

Random Array Generation

Bitwise Operations

Statistical Functions

Basics Image Processing with NumPy and Matplotlib

Installation of Scikit-image

Reading and Displaying Images

Shapes

Transformations on images

Histogram Equalization

Thresholding

Filtering

Morphology

Improving Images

Feature Detection

Segmentation

Miscellaneous operations on images

and much more.....

Who is the target audience?

Computer Vision and Image/Signal Processing Professionals
Digital Imaging Professionals
AI and Machine Learning Professionals
Robotics Professionals
Data Science Professionals
Scientists
Mathematicians
Physicists
Anyone with zeal and enthusiasm to learn