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Description: 找眼睛的瞳孔部位和眼睛虹膜的部分
同时会标基础眼睛中心的位置 包括瞳孔和虹膜的半径-Find parts of the eye pupil and the iris of the eye at the same time part of the logo based on the location of the eye including the pupil center and iris radius
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Size: 1024 |
Author: chen ning |
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Description: 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。然后以该伪圆心为中心，在其周围等角度间隔地取N个点作为初始的snake基准点，按照snake 的运行机制不断进化，直到虹膜的内边界为止。最后，计算进化后的snake形心和snake上的控制点与该形心的距离，取其平均值作为瞳孔的半径，动态轮廓模型的形心作为瞳孔的圆心，即可准确定位出虹膜内边界的位置。实验表明，与常见的定位方法相比，文中的方法速度快、精度高，而且，对瞳孔初始的伪圆心要求不高，鲁棒性更强。-Digital image of the iris in the location of the effective positioning of the key issues of iris recognition. With a model based on the active contour method of positioning the location of the iris, the first gray projection method used to detect the pupil as the point of the pseudo-pupil center, the center of a circle as long as it can fall within the pupil. And then to the pseudo-center as the center, in terms of their spacing around the N points to get the snake as the initial reference point, the operating mechanism in accordance with the snake continued to evolve until the border until the inner iris. Finally, after calculating the evolution of snake and snake-shaped heart of the control point on the centroid distance, choose the average as the radius of the pupil, the dynamic contour model of the centroid as the center of pupil can be an accurate positioning within the borders of the iris position. The experimental results show that the position with common methods, the methods o
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Size: 1764352 |
Author: 侯汶杉 |
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Description: 识别虹膜和眼毛位置程序。使用方法：
1.载入眼睛图片。
2. 定位实验->虹膜定位：确定虹膜圆心，以及虹膜内外环半径。
3. 定位实验->眼毛检测：结果为两条圆心为端点的折线段，标明没有眼毛的虹膜区域。-Identify iris and eye hair location. Use: 1. Loading eye picture. 2. Positioning Experimental->Iris Location: identification of the iris center and radius of the iris inside and outside the ring. 3. Positioning Experimental->eyes hair detection: the results are the two lines, indicating no eye hair region of the iris.
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Size: 742400 |
Author: glory |
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Description: 基于动态轮廓模型的虹膜定位.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。然后以该伪圆心为中心，在其周围等角度间隔地取N个点作为初始的snake基准点，按照snake 的运行机制不断进化，直到虹膜的内边界为止。最后，计算进化后的snake形心和snake上的控制点与该形心的距离，取其平均值作为瞳孔的半径，动态轮廓模型的形心作为瞳孔的圆心，即可准确定位出虹膜内边界的位置。实验表明，与常见的定位方法相比，文中的方法速度快、精度高，而且，对瞳孔初始的伪圆心要求不高，鲁棒性更强。-Iris contour model based on dynamic positioning. In the digital image in the position of the iris iris recognition and effective positioning is the key issue. Using a model based on active contour method of positioning the iris position, the first gray projection method used to detect a point within the pupil as a pupil of the pseudo-center of a circle, the center of a circle can be as long as it falls within the pupil. And then the pseudo-center of a circle centered around the angle of its N-point interval to take the snake as the initial reference point, in accordance with operating mechanism evolving snake, until the iris until the inner boundary. Finally, the calculation of the evolution of the snake-shaped after the heart and snake on the control point with the centroid distance, whichever is the average radius of the pupil as a dynamic contour model of the centroid as the center of the pupil can accurately locate out of the iris inner boundary position. Experiments show that, com
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Size: 287744 |
Author: 318 |
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Description: to find the iris radius and center using image thresholding and center approximation-to find the iris radius and center using image thresholding and center approximation..
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Size: 1024 |
Author: ram |
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Description: 包括瞳孔和虹膜的半径找眼睛的瞳孔部位和眼睛虹膜的部分 同时会标基础眼睛中心的位置 -找眼睛的瞳孔部位和眼睛虹膜的部分 同时会标基础眼睛中心的位置 包括瞳孔和虹膜的半径-Find parts of the eye pupil and the iris of the eye at the same time part of the logo based on the location of the eye including the pupil center and iris radius
Platform: |
Size: 1024 |
Author: JING ZHOU |
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Description: 采用经典的阴性选择算法N-NSA，用IRIS数据集对算法进行耐受和检测，检测器半径固定不变，检测效率不高，因此需要采用变半径的方法检测-The negative selection algorithm using the classical N-NSA, with the IRIS data set of algorithms for tolerance and detection, the detector radius is fixed, detection efficiency is not high, requiring the use of variable radius method to detect
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Size: 36864 |
Author: zy |
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Description: 改进HOUGH变换在虹膜定位中的应用研究
提出了一种基于改进Hough变换(HT)的虹膜定位算法，解决标准HT定位虹膜计算量较大，且定位不准确的问题．方法根据虹膜的形状和圆近似的性质，用改进的圆HT定位虹膜。定位时采用点对和梯度信息确定潜在的虹膜中心和对应的圆半径．为了使输出结果仅为虹膜的外边界，定义了一个阂值．结果采用点对和梯度信息并定义相应的闪值定位虹膜，在较大程度上减少了计算量，并且保证输出结果为虹膜的外边界．结论采用改进HT能以较小的计算代价准确地定位虹膜．-Improved HOUGH transform the iris Positioning study proposes an approach based on improved Hough transform (HT) iris location algorithm to solve the standard HT locate iris large amount of calculation, and the positioning is not accurate. Methods based on the shape of the iris and the approximate nature of the circle, using a modified round HT positioning iris. Positioning using point and gradient information to determine the potential of the iris center and the radius of the circle corresponds. In order to make the output of only the outer boundary of the iris, the definition of a thresholding. Results using point and gradient information, and define the appropriate value of the location of the flash iris, to a significant extent, reduce the amount of computation, and to ensure output of the outer boundary of the iris. Conclusion The improved HT smaller computational cost can accurately locate the iris.
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Size: 179200 |
Author: wang |
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Description: nonmaxsup——非最大值抑制
hysthresh——设定阈值区间，返回一个二值化图像
canny——边缘探测，图像边缘增强
adjgamma——调整图像的伽马值
findline——利用线性Hough变换和Canny边缘探测得到的线上各点的坐标
circlecoords——返回由圆的半径和圆心坐标决定的圆上各点像素的坐标
houghcircle——取一幅经过canny变换的图像，利用hough变换找到图像中的一个圆
findcircle——计算所得线上各点的坐标归纳出一个圆的半径和圆心，确定该圆的各点坐标
gaborconvolve——利用一维盖伯滤波器对图像进行处理
gethammingdistance ——返回两幅虹膜图像提取的特征码之间的海明距离
linecoords——返回一条线的上各点的x,y坐标值-nonmaxsup- non-maximum suppression hysthresh- set the threshold range, returns a binary image canny- edge detection, image edge enhancement adjgamma- adjust the image' s gamma value findline- linear Hough transform and Canny edge detection get the coordinates of each point circlecoords online- Returns coordinate houghcircle on the circle of the radius and center coordinates of the points decision pixels- After taking a picture canny transformation, using hough transform to find the image of a circle findcircle- the calculated coordinates of each point line summed up a circle of radius and center, to determine the coordinates of each point of the circle gaborconvolve- using a 维盖伯 filter for image processing gethammingdistance- returns two iris images extracted linecoords Hamming distance between the signature- a return line to the points on the x, y coordinate values
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Size: 4573184 |
Author: 廖志伟 |
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Description: segmentiris - peforms automatic segmentation of the iris region
an eye image. Also isolates noise areas such as occluding
eyelids and eyelashes.
Usage:
[circleiris, circlepupil, imagewithnoise] = segmentiris(image)
Arguments:
eyeimage - the input eye image
Output:
circleiris - centre coordinates and radius
of the detected iris boundary
-segmentiris - peforms automatic segmentation of the iris region
an eye image. Also isolates noise areas such as occluding
eyelids and eyelashes.
Usage:
[circleiris, circlepupil, imagewithnoise] = segmentiris(image)
Arguments:
eyeimage - the input eye image
Output:
circleiris - centre coordinates and radius
of the detected iris boundary
Platform: |
Size: 367616 |
Author: hanabou |
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