Face Detection Approach Based on Fuzzy Logic and GST
سال انتشار: 1393
نوع سند: مقاله ژورنالی
زبان: انگلیسی
مشاهده: 630
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شناسه ملی سند علمی:
JR_ACSIJ-3-6_002
تاریخ نمایه سازی: 9 اسفند 1393
چکیده مقاله:
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 aremerged in order to generate a bigger region. Following the extraction of each region's features, the resulted data is given tothe 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 dividedinto two categories of face and non-face by applying the Generalized Symmetry Transform (GST) algorithm. The resultsprove that new algorithm not only runs relatively fast but also provides an improved performance
کلیدواژه ها:
Face detection ، edge detection ، fuzzy logic ، Generalized Symmetry Transform (GST) ، Image segmentation
نویسندگان
arash kiani zain abad
Faculty of Computer and Information Technology Engineering, Qazvin Branch,Islamic Azad University,Qazvin,Iran
mostafa asghari pile savar
Faculty of Computer and Information Technology Engineering, Qazvin Branch,Islamic Azad University,Qazvin,Iran
vahid rostami
Faculty of Computer and Information Technology Engineering, Qazvin Branch,Islamic Azad University,Qazvin,Iran