Skip to content

Experiment on the theoretical aspects of color image detection and classification algorithms, and implementation of it for skin segmentation and finger counting. ✌🏼

Notifications You must be signed in to change notification settings

alex21th/finger-detection

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

1 Commit
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

Skin detection and Finger classification

Image Processing and Artificial Vision, GCiED

Alex Carrillo and Robert Tura

-May 22, 2020, Universitat Politècnica de Catalunya

Introduction. The purpose of this report is to show an approach of using bidimensional histogram information of images in some color spaces to extract which regions of a picture contain human skin, and we also present which processing steps improve these predictions. Furthermore, we explain our idea on finger classification of those segmented images, i.e. how many fingers are shown, and we expose the results obtained, the difficulties and further work.


Contents

  1. Introduction
  2. Color spaces
    1. RGB (and RG)
    2. HSV - Hue Saturation Value
    3. YCbCr - Luminance Chrominance
  3. Reasoning of the approach
    1. Skin detection
    2. Finger classification
  4. Performance
    1. Skin detection
    2. Finger classification
  5. Results
  6. Parameter sensitivity
  7. Further improvements
  8. Conclusions
  9. References

About

Experiment on the theoretical aspects of color image detection and classification algorithms, and implementation of it for skin segmentation and finger counting. ✌🏼

Topics

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published