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eye matching using Circular hough transform for eyedetection and precise eyes location. it is a very good code that works on both grayscale and jpg image.
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在AdaBoost人脸检测的基础上,对眼睛实现精确定位。先得到人脸图像的谷区域图像,
再获取眼睛的候选点,综合分离度信息和霍夫变换的结果来计算每一个眼睛对的代价函数,找到比较
准确的眼睛位置。-In the AdaBoost face detection based on the accurate positioning of the eyes. Obtain prior approval from the image of the Valley area face images,
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基于OpenCV的Hough变换结合Canny边缘检测的人眼瞳孔检测算法。-Combination of the Canny edge detection of the human eye pupil detection algorithm based on OpenCV Hough transform.
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基于hough变换的人眼检测，检测效果很好，拿来与大家分享-Eye detection, based on hough transform detection ,works well, shared with you
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eye matching using Circular hough transform for eyedetection and precise eyes location. it is a very good code that works on both grayscale and jpg image.
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基于hough变换的人虹眼检测测序。算法精炼。为圆检测程序。-Hough transform based on the human eye detection and sequencing of rainbow. Algorithm for refining. For circle detection program.
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利用Hough变换对人脸图片中的人眼进行检测，随带可测试图片。-Use Hough transform human face in the picture of the human eye to detect, comes testable picture.
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In this source code we used the Circular Hough Transform to detect size of iris and also opening and closing of eyes.-In this source code we used the Circular Hough Transform to detect size of iris and also opening and closing of eyes.
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虹膜识别源代码，使用霍夫变换检测定位人眼球，hough变换，然后提取出分割出的虹膜，带有原测试图像-Iris recognition source code, Hough transform to detect the positioning eye, hough transform, and then extract the segmented iris image with the original test
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基于霍夫变换的人眼虹膜定位matlab源程序，优化好，执行速度较快。-Of the human eye iris localization based on hough transform matlab source, good optimization, faster.
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图像处理源代码，基于Hough变换的人眼虹膜定位方法，基于Kalman滤波的目标跟踪，基于模糊集的图像增强方法，基于蚁群算法的图像边缘检测。-Image processing source code, Hough transform based human eye iris location method, Kalman filter based target tracking, fuzzy set based image enhancement method, ant colony algor
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本程序是利用Hough变换进行人眼的虹膜定位的一种方法(This procedure is the use of Hough transform iris positioning of the human eye a method)
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本代码是瞳孔检测，利用高斯平滑减小噪声，直方图均衡化增强对比度，二值化突出眼睛的特征，Hough变换画圆找瞳孔。本代码是利用QT做的界面，经过试验，效果良好。可直接使用。(This is pupil track.We employ Gaussian Smoothing to decrease noise, and equlazation histogram to enhance contrast, and binaryzation to prominent eyes' feature, and
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