How to extract features from a thermal Image and which is the best technique to extract?

조회 수: 2 (최근 30일)
I have to detect smallest deviation of temperature in my thermal video(map) by comparing it to the authentic one (training). What are the different attributes that should I extract and which technique should I apply for extraction? e.g PCA, 2DPCA. Based on these features I want to apply machine learning to detect the difference. Thanks

채택된 답변

Image Analyst
Image Analyst 2017년 1월 18일
Use imregister() to align your new image with your reference image. Then subtract them to determine the temperature difference between the two.
  댓글 수: 8
Qazi  Arbab Ahmed
Qazi Arbab Ahmed 2017년 1월 25일
Thanks, Its helpful. I have 100 thermal Authentic Image and 100 Malicious Images, I want to train them and also want to extract features from them to apply machine learning to distinguish between these classes. What are the features that should be used to distinguish and which machine learning classifier will be effective? Currently I am trying to extract features like mean and SD but I could make response vector, as I am trying classification tool box that requires response and I am not getting it. If you have got idea could you please write some code. Thanks
Image Analyst
Image Analyst 2017년 1월 25일
There's no way to answer this given the information and images you've provided (or not provided). LOOK HERE for ideas.

댓글을 달려면 로그인하십시오.

추가 답변 (0개)

카테고리

Help CenterFile Exchange에서 Image Segmentation and Analysis에 대해 자세히 알아보기

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!

Translated by