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通过重心法确定光斑图像的中心。根据个像素的灰度值和所在的位置乘积和总面值作比,进而求得重心。-Through the center of gravity method to determine the center of the image spot. According to the gray-scale pixel value and the location of the product and the total for more than face value, and then ge
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图像识别,包括人脸识别和虹膜识别,在数字图像中虹膜位置的有效定位是虹膜识别的关键问题。用一种基于主动轮廓线模型的方法定位虹膜的位置,先用灰度投影法检测出瞳孔内的一点作为瞳孔的伪圆心,该圆心只要能落在瞳孔内部即可。-Image recognition, including face recognition and iris recognition, iris position in the digital image of the iris recognition and effective po
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图像识别的MATLAB代码,包括人脸识别和虹膜识别,在数字图像中虹膜位置的有效定位是虹膜识别的关键问题。用一种基于主动轮廓线模型的方法定位虹膜的位置,先用灰度投影法检测出瞳孔内的一点作为瞳孔的伪圆心,该圆心只要能落在瞳孔内部即可。-Matlab source code of image recognition, including face recognition and iris recognition, iris position in the digital image in an eff
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主要是连通分量提取及实现,通过matlab实现的了在人脸局部图像中定位嘴的中心.-Mainly connected component extraction and realization, through matlab to achieve in the face of local images to locate the center of the mouth.
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采用matlab软件,并用积分投影定位人脸眼睛的红膜中心-Based on matlab software, and integral projection positioning of the red eyes face film center
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在人脸局部图像中定位嘴的中心,通过matlab对图像的处理和运算的车图像中嘴巴的中心-In the face of local image location in the center of the nozzle
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matlab源代码,二值图像提取连通分量,实现对局部人脸图像嘴唇中心的定位。-matlab source code, binary image to extract connected components, to achieve partial face image lips center position.
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在人脸局部图像中定位嘴的中心。MATLAB环境代码,配有实验用图。具体步骤:对输入图像进行二值化处理-标注二值图像中的连通分量-找出最大的连通分量-计算最大联通分量中心。《精通Matlab数字图像处理与识别》-The face part image is positioned in the center of the mouth. MATLAB environment code, with experimental Fig. Specific steps: input image binariz
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实现matlab gui 界面的人脸检测,通过点击人眼中心,实现识别-Achieve matlab gui interface face detection, by clicking on the eye center, to achieve recognition
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matlab gui 界面的人脸的采集,通过点击人眼中心,实现识别-matlab gui interface face acquisition, by clicking on the eye center, to achieve recognition
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实现matlab 界面的人脸检测算法,通过点击人眼中心,实现识别-Achieve matlab interface face detection algorithm, by clicking on the center of the human eye to achieve recognition
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