为提取垃圾邮件图像中文字的角点信息，提出一种新的基于图像边缘和圆形模板的角点检测算法。
Combining edge extraction methods and a circular template, this paper proposes a new method for detecting corners of text in spam images.
其次在相邻帧差分边缘和当前帧边缘的基础上，检测出视频对象的初始边缘模板。
On the basis of difference edge mask and current edge mask, a binary edge model of the video object is initialized.
本文利用边缘检测、积分投影及模板匹配等相结合的方法，比较准确的获得了人脸各个特征部位的数据。
In this paper, we use edge detection, integral projection and template matching to compute the dates of the face feature, and have acquired a higher veracity.
根据HVS函数的特点，对频域中HVS函数进行反傅立叶变换，将空间域中该函数的部分函数值作为特定的模板参数，并与原图像进行卷积来实现边缘检测。
The HVS function, HVS function is inversely Fourier transformed in frequency domain, and the method is realized by calculating some value of the function in spacial domain as convolve nucleus.
根据HVS函数的特点，对频域中HVS函数进行反傅立叶变换，将空间域中该函数的部分函数值作为特定的模板参数，并与原图像进行卷积来实现边缘检测。
The HVS function, HVS function is inversely Fourier transformed in frequency domain, and the method is realized by calculating some value of the function in spacial domain as convolve nucleus.
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