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Python Digital Image Processing From Ground Up™

Image Processing : Edge-Detection Algorithms , Convolution, Filter Design, Gray-Level Transformation, Histograms etc.

     
  • 4.2
  •  |
  • Reviews ( 593 )
₹519

This Course Includes

  • iconudemy
  • icon4.2 (593 reviews )
  • icon5h 1m
  • iconenglish
  • iconOnline - Self Paced
  • iconprofessional certificate
  • iconUdemy

About Python Digital Image Processing From Ground Up™

With a

programming based approach

, this course is designed to give you a solid foundation in the most useful aspects of Image Processing in an engaging and easy to follow way. The goal of this course is to present

practical techniques

while

avoiding obstacles of abstract mathematical theories

. To achieve this goal, the image processing techniques are explained in plain language, not simply proven to be true through mathematical derivations. Still keeping it simple, this course comes in different programming languages so that students can put the techniques to practice using a programming language of their choice. This version of the course uses the

_Python programming_

language. By the end of the course you should be able to perform

2-D Discrete Convolution with images

in

python

, perform

Edge-Detection

in

python

, perform

Spatial Filtering

in

python

,

Histogram

and

Equalize

it in python, perform

Gray Level Transformation

s

,

suppress noise in images, understand all about operators such as

Laplacian

,

Sobel

,

Prewitt

,

Robinson,

even give a lecture on image processing and more. Please take a look at the full course curriculum.

REMEMBER : I have no doubt you will love this course. Also it comes with a FULL money back guarantee for 30 days! So put simply, you really have nothing to loose and everything to gain.

Sign up and lets start manipulating some pixels.

What You Will Learn?

  • Be able to suppress noise in images .
  • Be able to develop the 2-D Convolution algorithm in Python .
  • Apply Edge-Detection Operators like Laplacian, Sobel, Prewitt, Robinson etc. on Images .
  • Be able to develop Spatial Filtering Algorithms in Python .
  • Be able to compute an Image Histogram and Equalize it in Python .
  • Understand all about operators such as Laplacian, Sobel, Prewitt, Robinson etc. .
  • Be able to perform Image Processing using Python's Imaging Library .
  • Be able to perform Image Processing using SKImage .
  • Be able to perform Arithmetic and Boolean Operations like Addition, Subtraction, AND, OR etc. on images .
  • Be able to perform Image Enhancement Techniques such as Blurring and Sepia using Python .
  • Be able to give a lecture on Digital Image Processing Show moreShow less.