Sign Up

Sign Up to our social questions and Answers Engine to ask questions, answer people’s questions, and connect with other people.

Have an account? Sign In

Have an account? Sign In Now

Sign In

Login to our social questions & Answers Engine to ask questions answer people’s questions & connect with other people.

Sign Up Here

Forgot Password?

Don't have account, Sign Up Here

Forgot Password

Lost your password? Please enter your email address. You will receive a link and will create a new password via email.

Have an account? Sign In Now

You must login to ask a question.

Forgot Password?

Need An Account, Sign Up Here

Please briefly explain why you feel this question should be reported.

Please briefly explain why you feel this answer should be reported.

Please briefly explain why you feel this user should be reported.

Sign InSign Up

The Archive Base

The Archive Base Logo The Archive Base Logo

The Archive Base Navigation

  • SEARCH
  • Home
  • About Us
  • Blog
  • Contact Us
Search
Ask A Question

Mobile menu

Close
Ask a Question
  • Home
  • Add group
  • Groups page
  • Feed
  • User Profile
  • Communities
  • Questions
    • New Questions
    • Trending Questions
    • Must read Questions
    • Hot Questions
  • Polls
  • Tags
  • Badges
  • Buy Points
  • Users
  • Help
  • Buy Theme
  • SEARCH
Home/ Questions/Q 7783795
In Process

The Archive Base Latest Questions

Editorial Team
  • 0
Editorial Team
Asked: June 1, 20262026-06-01T19:56:43+00:00 2026-06-01T19:56:43+00:00

I have a binary image. Within a certain region of interest, I need to

  • 0

I have a binary image. Within a certain region of interest, I need to count the number of black pixels. There is always the way of looping through the pixels and counting them, but I’m looking for a more efficient method as I need to do it real-time.

I found a way to count the number of nonzero pixels(using cvCountNonZero()). Is there any such equivalent function for counting zero pixels (there doesn’t seem to be as far as I’ve seen)? If not, what is the most efficient way to count the black pixels?

  • 1 1 Answer
  • 0 Views
  • 0 Followers
  • 0
Share
  • Facebook
  • Report

Leave an answer
Cancel reply

You must login to add an answer.

Forgot Password?

Need An Account, Sign Up Here

1 Answer

  • Voted
  • Oldest
  • Recent
  • Random
  1. Editorial Team
    Editorial Team
    2026-06-01T19:56:44+00:00Added an answer on June 1, 2026 at 7:56 pm

    I believe the number of zero pixels could be seen as:

    int TotalNumberOfPixels = width * height;
    int ZeroPixels = TotalNumberOfPixels - cvCountNonZero(cv_image);
    
    • 0
    • Reply
    • Share
      Share
      • Share on Facebook
      • Share on Twitter
      • Share on LinkedIn
      • Share on WhatsApp
      • Report

Sidebar

Related Questions

I have a binary image and need to convert all of the black pixels
I have a binary image with contour lines and need to purify each contour
I have a binary image in Matlab, and I need the binary array(0 and
after convert image to binary image (black and white ) if there is any
I have very little Perl experience. I need to read a binary image in
Would like to ask for advice. there is a need for binary to have
I have a binary image (a dll) which I wish to view the assembly
I have an image that is being fed to my PHP script as binary
I have a binary file that need to be showed in hexadecimal. The code
I have a binary file which contains keys and after every key there is

Explore

  • Home
  • Add group
  • Groups page
  • Communities
  • Questions
    • New Questions
    • Trending Questions
    • Must read Questions
    • Hot Questions
  • Polls
  • Tags
  • Badges
  • Users
  • Help
  • SEARCH

Footer

© 2021 The Archive Base. All Rights Reserved
With Love by The Archive Base

Insert/edit link

Enter the destination URL

Or link to existing content

    No search term specified. Showing recent items. Search or use up and down arrow keys to select an item.