8000 GitHub - zhoupanyun/features: A collection of python classes for feature extractions. The features are calculated inside a Region of Interest (ROI) and not for the whole image: the image is trully a polygon!
[go: up one dir, main page]
More Web Proxy on the site http://driver.im/
Skip to content

A collection of python classes for feature extractions. The features are calculated inside a Region of Interest (ROI) and not for the whole image: the image is trully a polygon!

License

Notifications You must be signed in to change notification settings

zhoupanyun/features

 
 

Repository files navigation

Image Feature Extraction in ROI (Python)

A collection of python functions for feature extraction. The features are calculated inside a Region of Interest (ROI) and not for the whole image: the image is actually a polygon! More and more features will be added. Please feel free to point out any mistakes or improvemets. The aim is to create a library for image feature extraction. Message me for more details.

A. Single point based statistical plaque features

A.1 Single/Multi ROI

  1. GSM
  2. Stratified GSM
  3. JBA

A.2 Histogram based features

  1. Histogram
  2. Multi-region histogram
  3. Correlogram

B. Spatial based plaque features

B.1 Early texture

  1. First Order Statistics/Statistical Features (FOS/SF)
  2. Gray Level Co-occurence Matrix (GLCM/SGLDM)
  3. Gray Level Difference Statistics (GLDS)
  4. Neighborhood Gray Tone Difference Matrix (NGTDM)
  5. Statistical Feature Matrix (SFM)
  6. Law's Texture Energy Measures (LTE/TEM)
  7. Fractal Dimension Texture Analysis (FDTA)
  8. Gray Level Run Length Matrix (GLRLM)
  9. Fourier Power Spectrum (FPS)
  10. Shape Parameters

B.2 Later texture

  1. Gray Level Size Zone Matrix (GLSZM)
  2. Higher Order Spectra (HOS)
  3. Local Binary Pattern (LPB)

B.3 Morphological

  1. Grayscale Morphological Analysis
  2. Multilevel Binary Morphological Analysis

B.4 Multi-scale

  1. Fractal Dimension Texture Analysis (FDTA)
  2. Amplitude Modulation – Frequency Modulation (AM-FM)
  3. Discrete Wavelet Transform (DWT)
  4. Stationary Wavelet Transform (SWT)
  5. Wavelet Packets (WP)
  6. Gabor Transform (GT)

B.5 Other

  1. Zernikes’ Moments
  2. Hu’s Moments
  3. Threshold Adjacency Matrix (TAS)
  4. Histogram of Oriented Gradients (HOG)

Use

Download the folder Features, add to path and call

from features import *

Support

Reach out to me:

License

License: MIT

About

A collection of python classes for feature extractions. The features are calculated inside a Region of Interest (ROI) and not for the whole image: the image is trully a polygon!

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages

  • Python 100.0%
0