Setting Optimum Threshold on Histogram of Quasi-chroma Elements for Extraction of Facial Areas

Abstract

We developed new method for setting the threshold value on a quasi-chroma histogram to extract facial areas. Our method is based on a method used for forecasting stock market futures, such as the dead cross and the golden cross. Using two averaged histograms that are smoothed with a short interval and a long interval, the dead cross and the golden cross are obtained as the cross points of these two histograms. The threshold value is then set to the minimum point of the frequency of quasi-chroma elements between the dead cross and the golden cross.