Image Processing 101

Sher Minn Chong wrote a good introductory to image processing in Python:

In this article, I will go through some basic building blocks of image processing, and share some code and approaches to basic how-tos. All code written is in Python and uses OpenCV, a powerful image processing and computer vision library...

... When we’re trying to gather information about an image, we’ll first need to break it up into the features we are interested in. This is called segmentation. Image segmentation is the process representing an image in segments to make it more meaningful for easier to analyze3.

Thresholding

One of the simplest ways of segmenting an image isthresholding. The basic idea of thresholding is to replace each pixel in an image with a white pixel if a channel value of that pixel exceeds a certain threshold... (full tutorial) (iPython Notebook)

Comments (0)

This post does not have any comments. Be the first to leave a comment below.


Post A Comment

You must be logged in before you can post a comment. Login now.

Featured Product

Pleora Technologies – Five Trends for Imaging Technologies

Pleora Technologies - Five Trends for Imaging Technologies

Technology development moves at a dizzying pace and the machine vision industry is no exception. Specific to imaging there is consistent innovation aimed at improving efficiencies, costs, and intelligence. Over the past 12 months, for example, new USB3 Vision™ products have driven the design of higher bandwidth, plug-and-play solutions for imaging applications. What's next for machine vision? This article examines five trends that are expected to influence imaging system design. Sign up at right to receive news and updates on the latest vision technology for medical imaging and you'll receive Five Trends for Imaging Technologies free!