Search icon CANCEL
Subscription
0
Cart icon
Your Cart (0 item)
Close icon
You have no products in your basket yet
Save more on your purchases! discount-offer-chevron-icon
Savings automatically calculated. No voucher code required.
Arrow left icon
All Products
Best Sellers
New Releases
Books
Videos
Audiobooks
Learning Hub
Newsletter Hub
Free Learning
Arrow right icon
timer SALE ENDS IN
0 Days
:
00 Hours
:
00 Minutes
:
00 Seconds
Arrow up icon
GO TO TOP
Hands-On GPU-Accelerated Computer Vision with OpenCV and CUDA

You're reading from   Hands-On GPU-Accelerated Computer Vision with OpenCV and CUDA Effective techniques for processing complex image data in real time using GPUs

Arrow left icon
Product type Paperback
Published in Sep 2018
Publisher Packt
ISBN-13 9781789348293
Length 380 pages
Edition 1st Edition
Languages
Tools
Arrow right icon
Author (1):
Arrow left icon
 Vaidya Vaidya
Author Profile Icon Vaidya
Vaidya
Arrow right icon
View More author details
Toc

Table of Contents (20) Chapters Close

Title Page
Copyright and Credits
Packt Upsell
Contributors
Preface
1. Introducing CUDA and Getting Started with CUDA FREE CHAPTER 2. Parallel Programming using CUDA C 3. Threads, Synchronization, and Memory 4. Advanced Concepts in CUDA 5. Getting Started with OpenCV with CUDA Support 6. Basic Computer Vision Operations Using OpenCV and CUDA 7. Object Detection and Tracking Using OpenCV and CUDA 8. Introduction to the Jetson TX1 Development Board and Installing OpenCV on Jetson TX1 9. Deploying Computer Vision Applications on Jetson TX1 10. Getting Started with PyCUDA 11. Working with PyCUDA 12. Basic Computer Vision Applications Using PyCUDA 1. Assessments 2. Other Books You May Enjoy Index

Morphological operations on Images


Image morphology deals with regions and shapes of Image. It is used to extract image components that are useful to represent shapes and regions. Image morphology treats the image as an ensemble of sets unlike other Image processing operations seen earlier. Image interacts with a small template which is called a structuring element which defines the region of interest or neighborhood in image morphology. There are various morphological operations that can be performed on Images. They are explained one by one in this section.

  1. Erosion: Erosion sets a center pixel to the minimum over all pixels in the neighborhood. The neighborhood is defined by the structuring element which is a matrix of 1's and 0's. Erosion is used to enlarge holes in the object, shrink boundary, eliminate the island and get rid of narrow peninsulas that might exist on Image boundary.
  1. Dilation: Dilation sets a center pixel to the maximum over all pixels in the neighborhood. The dilation increases...
lock icon The rest of the chapter is locked
Register for a free Packt account to unlock a world of extra content!
A free Packt account unlocks extra newsletters, articles, discounted offers, and much more. Start advancing your knowledge today.
Unlock this book and the full library FREE for 7 days
Get unlimited access to 7000+ expert-authored eBooks and videos courses covering every tech area you can think of
Renews at $15.99/month. Cancel anytime
Visually different images