Face Detection Approach Based on Fuzzy Logic and GST

Arash Kiani Zain Abad, Mostafa Asghari Pile Savar, Vahid Rostami

Abstract


This paper proposes a fast and confident approach to face detection. Initially we detect and segment the regions of image with human skin color. The regions with similar features are merged in order to generate a bigger region. Following the extraction of each region`s features, the resulted data is given to the fuzzy system trying to determine regions which are most likely to belong to skin. After performing preprocessing, the regions with highest possibility of containing face are examined and similar regions are merged to generate a large region. After segmenting the face regions of image, the regions are divided into two categories of face and non-face by applying the Generalized Symmetry Transform (GST) algorithm. The results prove that new algorithm not only runs relatively fast but also provides an improved performance.

Keywords


Face detection; edge detection; fuzzy logic; Generalized Symmetry Transform (GST); Image segmentation

Full Text:

PDF


Lululemon Black Friday cheap nfl jerseys Lululemon factory Outlet ny Black Friday discount tiffany outlet wholesale soccer jerseys online oakley black friday cheap nhl jerseys china cheap nfl jerseys north face black friday sale cheap nfl jerseys online Jordans Black Friday Sale 2015 Cheap Moncler Cyber Monday moncler outlet cheap soccer jerseys moncler outlet black friday cheap authentic nfl jerseys north face cyber monday Louboutin Black Friday canada wholesale cheap nfl jerseys lululemon cyber monday 2015 cheap nfl jerseys from china 2015 Cheap Moncler Black Friday Sale Moncler Cyber Monday 2015 cheap jerseys Lululemon Cyber Monday Sale jordans cyber monday deals 2015 cheap nike nfl jerseys Black Friday deals Lululemon 2015 jordan black friday 2015 Moncler Jackets Black Friday Sale 2015 Louboutin Pas Cher Black Friday 2015 Canada Lululemon north face black friday cheap wholesale soccer jerseys