Media Server 12.11

# Introduction

An image hash can be considered as a cursory summary of an image. You can use image hash analysis to identify exact duplicates in a set of images, because identical images produce identical hashes. Image hash analysis can tolerate small distortions, but an image that is subject to significant changes results in a different hash.

Image hash analysis is much faster than object recognition or image comparison because it considers each image as a whole and does not analyze the detail within an image. To identify which parts of an image have changed, use image comparison instead. If you need a solution that can identify matching images while tolerating distortion (including scaling, rotation, and perspective changes or skew), consider using object recognition.

© Copyright 2022 Micro Focus or one of its affiliates
Version 12.11 | Last updated February 2022

Send documentation feedback

Close

Send documentation feedback

To send feedback using your default email client, open an email window.

Otherwise, send your feedback and the information below to swpdl.idoldocsfeedback@microfocus.com.

We appreciate your feedback!

Product: IDOL Media Server 12.11

Topic Title: Introduction