An Edge Detection for Face Feature Extraction using λ-Fuzzy Measure
In-Kue Park, Bo-Hyeok Ahn, Gyoo-Seok Choi · The Journal of the Institute of Webcasting, Internet and Telecommunication · 2009
In this paper the method was proposed which uses -fuzzy measure to detect the edge of the features of the face region. In the conventional method the features was founded using valley, brightness and edge. This method had its drawbacks that it is so sensitive to the external noises and environments. This paper proposed -fuzzy measure to cope with this drawbacks. By considering each weight of the pixels the integral evaluation was considered using the center of area method. Thus the continuity of the edge was kept by way of the neighborhood information and the reduction of time complexity wad resulted in.