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A novel technique for analysing histogram equalized medical images using superpixels.

Li Yao1,2, Sohail Muhammad1

  • 1School of Computer Science and Engineering, Southeast University , Nanjing , P.R. China.

Computer Assisted Surgery (Abingdon, England)
|January 29, 2019
PubMed
Summary

This study introduces a new method to detect if a grayscale image has undergone histogram equalization. The technique leverages superpixel segmentation to differentiate enhanced images from original ones.

Keywords:
AHECLAHEFelzenszwalbQuick shiftSLICSuperpixelWatersheds

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Area of Science:

  • Computer Vision
  • Image Processing
  • Digital Forensics

Background:

  • Histogram equalization is a common image enhancement technique.
  • Superpixel segmentation algorithms like SLIC are widely used in image analysis.
  • Distinguishing between original and processed images is crucial for various applications.

Purpose of the Study:

  • To develop a novel method for detecting histogram equalization in grayscale images.
  • To evaluate the effectiveness of the proposed method.
  • To compare SLIC superpixel segmentation with other algorithms for this task.

Main Methods:

  • The study proposes a technique combining histogram equalization detection with superpixel segmentation.
  • It utilizes SLIC (simple linear iterative clustering) for superpixel segmentation.
  • The performance is compared against Quick Shift, Watersheds, and Felzenszwalb's algorithms.

Main Results:

  • The developed method successfully distinguishes between original and histogram-equalized grayscale images.
  • Comparative analysis shows the effectiveness of SLIC superpixels in this detection task.
  • The study provides insights into image enhancement detection using image processing techniques.

Conclusions:

  • The proposed method offers a reliable way to identify histogram equalization in images.
  • Superpixel segmentation, particularly SLIC, is a valuable tool for image forensics.
  • This technique can help verify image authenticity and detect image manipulation.