Binary image feature extraction

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Nisha Paul
Nisha Paul on 7 Jun 2017
Answered: Gautam on 8 Jan 2025
I want to perform feature based image registration on two binary images.
What feature extraction algorithm should i use, to extract sufficient features from the binary images.

Answers (1)

Gautam
Gautam on 8 Jan 2025
Hello Nisha,
The common feature extraction methods used for binary images are:
  1. SIFT: Although traditionally used for grayscale images, it can be applied to binary images after some preprocessing. Use the MATLAB function detectSIFTFeatures” to implement this.
  2. ORB: It can be particularly effective for binary images. USE the function “detectORBFeatures to implement this.
  3. BRISK: Another good algorithm that’s good for binary images. Use detectBRISKFeatures” for its implementation.
Here are the links to the functions for more information on them
  1. detectSIFTFeatures: https://www.mathworks.com/help/vision/ref/detectsiftfeatures.html
  2. detectORBFeatures: https://www.mathworks.com/help/vision/ref/detectorbfeatures.html
  3. detectBRISKFeatures: https://www.mathworks.com/help/vision/ref/detectbriskfeatures.html

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