Image Processing with Python

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4.5

(4)

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Course Features

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Duration

55 minutes

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Delivery Method

Online

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Available on

Limited Access

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Accessibility

Desktop, Laptop

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Language

English

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Subtitles

English

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Level

Intermediate

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Teaching Type

Self Paced

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Video Content

55 minutes

Course Description

This tutorial focuses on the use of image processing techniques to create various modifications to images. It discusses how colorization techniques can enhance the beauty of black and white photos, as well as how color photos can be made to look old and vintage. Moreover, it highlights the application of image processing in entertainment and medical imaging, particularly in cancer screening.

The tutorial's main objective is to guide learners in creating a Python program that can read from a list and modify the size and appearance of images. The modified images are then saved in a separate directory. It emphasizes that this tutorial is specifically designed for learners residing in North America, but efforts are being made to provide the same experience for learners in other areas.

In conclusion, this tutorial offers valuable insights into using Python for image processing. It caters to individuals interested in data science by providing them with the necessary knowledge and skills to manipulate and enhance images using Python. The tutorial also highlights the importance of geographic considerations in accessing the learning experience.

Course Overview

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Virtual Labs

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International Faculty

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Post Course Interactions

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Hands-On Training,Instructor-Moderated Discussions

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Case Studies, Captstone Projects

Skills You Will Gain

What You Will Learn

Read images

modify images

batch process images

Course Instructors

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David Dalsveen

Subject Matter Expert

Software Engineer and Teacher with a demonstrated history of working in the computer software industry. Strong consulting professional skilled in C, C++, Java, JavaScript and Python.

Course Reviews

Average Rating Based on 4 reviews

4.3

100%

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