数据清洗和异常值去除:在人体皮肤检测中的应用

2014 5th European Workshop on Visual Information Processing (EUVIP) Pub Date : 2014-12-01 DOI:10.1109/EUVIP.2014.7018408

K. Chenaoua, F. Kurugollu, A. Bouridane

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引用次数: 7

摘要

针对彩色图像中人工预分割的人体皮肤数据，提出了一种基于离群值去除的数据清洗技术。三维颜色数据被投影到三个二维平面上，从中去除异常值。清洗后的2维数据投影被合并以产生一个干净的3D RGB数据。这些数据最后用于建立一个查找表和单个高斯分类器，用于彩色图像中的人体皮肤检测。

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Data cleaning and outlier removal: Application in human skin detection

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.

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来源期刊

2014 5th European Workshop on Visual Information Processing (EUVIP)

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