研究了利用颜色直方图、颜色边缘幅值和边缘方向直方图特征，基于支撑向量分类器的检测人脸技术。
This paper studies the human face detection by support vector classifier using histograms of color, color edge and its orientation.
提出了一种自适应图像二值化方法，它基于数学形态学理论，求取彩色图像边缘特征，并将它与灰度直方图二值化方法相结合。
A new method of adaptive threshold selection is proposed which combines the edge feature of the color image based on the theory of mathematical morphology.
首先在具有明显边缘特征的图像序列中，提取图像强边缘块的直方图，然后，利用时域多分辨算法，比较不同帧之间的图像差异。
Firstly, the histogram is computed from the strong edge blocks in the image sequences. Then, different images are compared by algorithm of multi-resolution steps.
然后计算关键帧的颜色直方图和MPEG-7边缘直方图，以形成关键帧的特征；
Then the features of color histogram and MPEG-7 edge histogram of each key frame are computed and the feature vectors of shot key frames are formed.
然后计算关键帧的颜色直方图和MPEG-7边缘直方图，以形成关键帧的特征；
Then the features of color histogram and MPEG-7 edge histogram of each key frame are computed and the feature vectors of shot key frames are formed.
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