Identify an Image Orientation

Question

0.00/5 (No votes)

See more:

I was involved in doing some image editing software (Just for practicing) and i would like to know how one can you make your code understand that the image what you are processing was a Landscape, portrait, Panorama or an normal image.

Shall we use it's Height and Width to identify? or is there is any algorithm available to identify that?

Posted 23-Apr-15 20:37pm

Gold$Coin

Add a Solution

2 solutions

Add a Solution

Add your solution here

Treat my content as plain text, not as HTML

Preview 0

…

Existing Members

Sign in to your account

...or Join us

Download, Vote, Comment, Publish.

Your Email
Password
Forgot your password?

Your Email
This email is in use. Do you need your password?
Optional Password

I have read and agree to the Terms of Service and Privacy Policy
Please subscribe me to the CodeProject newsletters

When answering a question please:

Read the question carefully.
Understand that English isn't everyone's first language so be lenient of bad spelling and grammar.
If a question is poorly phrased then either ask for clarification, ignore it, or edit the question and fix the problem. Insults are not welcome.
Don't tell someone to read the manual. Chances are they have and don't get it. Provide an answer or move on to the next question.

Let's work to help developers, not make them feel stupid.

This content, along with any associated source code and files, is licensed under The Code Project Open License (CPOL)

debasish mishra · Answer 1 · 2015-04-24T00:00:00

Solution 2

Please check the below URL

http://stackoverflow.com/questions/11932385/is-it-possible-to-know-if-a-jpeg-image-was-rotated-only-from-its-raw-bytes[^]

Posted 24-Apr-15 0:00am

debasish mishra

OriginalGriff · Answer 2 · 2015-04-23T20:52:00

Height and Width are all you really have: if it's Height is bigger than it's Width, it's Portrait.
If it's Width is massively bigger than it's Height, it's Panoramic, if it's "just bigger" then it's landscape.

And what the heck a "normal image" is, I have no idea! :laugh:

The only wrinkle here is if the image has been rotated - and you can only work that out by contextual analysis of the image content, which is a major, major job!