This paper proposes a method of face recognition, which is based on Multi-Threshold Local Binary Pattern (MTLBP).
提出一种基于多阈值局部二值模式(MTLBP)的人脸识别方法。
The first method is adaptive threshold segmentation based on local blocks of image.
第一种图像分割方法是基于局部分块的图像自适应阈值分割方法。
Every child image of the local regions is calculated, and the best threshold value of child image with the method of the biggist proportion of squase deviations is calculated.
对子图像进行局部直方图计算，由最大方差比例阈值确定方法计算出子图像的最佳阈值。
An adaptive binarization filter Algorithm is presented, which combines adaptive filtering with local threshold binarization method.
提出一种灰度文本图像自适应二值化滤波算法。
The methods for determining local phase fraction from the outputs of the probe were also discussed and an improved one was put forward compared with threshold method.
同时，本文提出了由探针输出信号确定相份额的新方法，该方法比阈值法准确、可靠。
The method employed for determining the local threshold not only allows sub-images to be very small, but also ensures the threshold to be optimal in the sense of least square error.
采用的局部阈值计算方法不仅允许子图像可以取得很小，而且能够保证得到平方误差最小意义下的最优阈值。
The method employed for determining the local threshold not only allows sub-images to be very small, but also ensures the threshold to be optimal in the sense of least square error.
采用的局部阈值计算方法不仅允许子图像可以取得很小，而且能够保证得到平方误差最小意义下的最优阈值。
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