Data Cleaning and Outlier Removal: Application in Human Skin Detection

K. Chenaoua, F. Kurugollu, A. Bouridane

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Citations (Scopus)

Abstract

An outlier removal based data cleaning technique is proposed to
clean manually pre-segmented human skin data in colour images.
The 3-dimensional colour data is projected onto three 2-dimensional
planes, from which outliers are removed. The cleaned 2 dimensional
data projections are merged to yield a 3D clean RGB data. This data
is finally used to build a look up table and a single Gaussian classifier
for the purpose of human skin detection in colour images.
Original languageEnglish
Title of host publication 2014 5th European Workshop on Visual Information Processing (EUVIP) Proceedings.
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Pages23-28
Number of pages6
ISBN (Print)978-1-4799-4571-9
DOIs
Publication statusPublished - Dec 2014
Event5th European Workshop on Visual Information Processing, EUVIP 2014 - Paris, France
Duration: 10 Dec 201412 Dec 2014

Conference

Conference5th European Workshop on Visual Information Processing, EUVIP 2014
CountryFrance
CityParis
Period10/12/201412/12/2014

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  • Cite this

    Chenaoua, K., Kurugollu, F., & Bouridane, A. (2014). Data Cleaning and Outlier Removal: Application in Human Skin Detection. In 2014 5th European Workshop on Visual Information Processing (EUVIP) Proceedings. (pp. 23-28). Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/EUVIP.2014.7018408