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By horizontal and vertical projection, we can estimate organs on the human face with good accuracy.

通过统计图像的水平和垂直投影检测出人脸器官的准确位置。

This program is used to locate eye region in gray facial image by means of horizontal and vertical projection.

详细说明:本程序通过水平和垂直灰度投影,框选出灰度面部图像中的眼睛区域。

Face area is gained by horizontal and vertical projection in binary image.

最后进行水平和垂直投影处理,获得人脸侯选区域。

At first, the area of the mouth is segmented by using the value vertical and horizontal projection of red pixel.

首先,采用红色像素点进行水平和垂直投影的方法对嘴唇进行区域分割,然后再利用边缘提取和红色像素点提取相结合的方法对嘴唇进行提取,此方法可以有效地去除嘴唇周围的阴影干扰和其它干扰,完整地将嘴唇从原图中分割提取出来。

Through the research of the character of ID Card,the approximate area of the character is detected after the projection in horizontal and vertical orient. And the accurate position of the character is located by using the template frame.

该方法通过对身份证的特征的研究,利用水平投影与垂直投影相结合的方法,首先确定出文字的大致区域,然后利用模板框准确的定位出文字的位置。

The right and left borderline of face is approximately determined according to improved vertical gray-level projection, and the height of human eyes is also approximately determined according to horizontal gray-level projection.

该算法先利用改进的人脸图像的垂直灰度积分投影确定脸的左右边界,再根据人脸图像的水平灰度投影曲线来确定眼睛的大致高度。

Finally three representative features are picked up, difference sum of the characteristic crack image projection in horizontal and vertical direction, as well as the pixel number of crack sub image.

基本思想是首先将二值化后的裂纹图像进行分块处理,得到一个特征裂纹图像,最后提取三个具有代表性的特征:特征图像在水平方向和垂直方向上的投影的差分累加和Ph,Pv以及裂纹子图像像素总数Num。

Edge detection ; Vertical gray level projection ; Horizontal gray level projection ; Valid peak ; Hough transform

边缘检测;垂直灰度投影;水平灰度投影;有效波峰;霍夫变换

Image sequence of images for each frame along the horizontal and vertical direction integral projection formed two integral projection Vector and applications based on the one-dimensional gradient estimated translation technology, thereby obtaining accurate two-dimensional space on the volume of translation.

将图像序列中的每一帧图像分别沿水平和垂直方向进行积分投影形成两个积分投影向量,并应用基于梯度的一维平移估计技术处理,从而精确地获取二维空间上的平移量。

Amethod for the recognition of images of different backgrounds and different illuminations is proposed. The gray beep points of the row is used to get the horizontal projection of the image first. Then the edge characteristic of the image line is used to get the vertical projection and locate the vehicle license plate.

针对不同背景和光照条件下的车辆图像,提出了一种先利用扫描行跳变点数据得到图像的水平投影图,再通过突出图像列的边缘特征得到垂直投影图从而提取出车牌的方法。

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