Description: 本程序可以进行直方图均衡化和人眼检测
要求：
本程序只能处理256色灰度图像
人眼检测功能对一寸证件照片效果较好-the procedures for histogram equalization and eye testing requirements : this program can handle only 256-color gray-scale images eyes detection of the documents inch photos better results Platform: |
Size: 150514 |
Author:111 |
Hits:
Description: 我们给出一个模板 和一幅图象 。不难发现原图中左边暗，右边亮，中间存在着一条明显的边界。进行模板操作后的结果如下： 。
可以看出，第3、4列比其他列的灰度值高很多，人眼观察时，就能发现一条很明显的亮边，其它区域都很暗，这样就起到了边沿检测的作用。
为什么会这样呢？仔细看看那个模板就明白了，它的意思是将右邻点的灰度值减左邻点的灰度值作为该点的灰度值。在灰度相近的区域内，这么做的结果使得该点的灰度值接近于0；而在边界附近，灰度值有明显的跳变，这么做的结果使得该点的灰度值很大，这样就出现了上面的结果。
这种模板就是一种边沿检测器，它在数学上的涵义是一种基于梯度的滤波器，又称边沿算子，你没有必要知道梯度的确切涵义，只要有这个概念就可以了。梯度是有方向的，和边沿的方向总是正交(垂直)的，例如，对于上面那幅图象的转置图象，边是水平方向的，我们可以用梯度是垂直方向的模板 检测它的边沿。
例如，一个梯度为45度方向模板 ，可以检测出135度方向的边沿。-we give a template and an image. It is not difficult to find the maximum were left dark, right-liang, in the middle there is a clear boundary. After the template for the operation results are as follows :. Can be seen, three, four out other than the gray value is much higher, eye observation, we can obviously found a bright side. Other regions are dark, and this has played a role in the detection of 2500. Why is this the case? A closer look at the template on which to understand it. It means the right to the point o gray minus left point as a gray value of the point of gray values. In a similar gray area, do so as a result of the point of gray values close to 0; And near the border. gray values jump significantly changed, the results do make the point very gray value, and this appeared to Platform: |
Size: 9333 |
Author:李涯 |
Hits:
Description: A face eye detection based on the whole image gray level. Except the adaboost, this is one of the best location algorithm.-eye detection based on the whole imag e gray level. Except the adaboost. this is one of the best location algorithm. Platform: |
Size: 4399 |
Author:tuzhiguo |
Hits:
Description: 本程序可以进行直方图均衡化和人眼检测
要求：
本程序只能处理256色灰度图像
人眼检测功能对一寸证件照片效果较好-the procedures for histogram equalization and eye testing requirements : this program can handle only 256-color gray-scale images eyes detection of the documents inch photos better results Platform: |
Size: 150528 |
Author:111 |
Hits:
Description: 我们给出一个模板 和一幅图象 。不难发现原图中左边暗，右边亮，中间存在着一条明显的边界。进行模板操作后的结果如下： 。
可以看出，第3、4列比其他列的灰度值高很多，人眼观察时，就能发现一条很明显的亮边，其它区域都很暗，这样就起到了边沿检测的作用。
为什么会这样呢？仔细看看那个模板就明白了，它的意思是将右邻点的灰度值减左邻点的灰度值作为该点的灰度值。在灰度相近的区域内，这么做的结果使得该点的灰度值接近于0；而在边界附近，灰度值有明显的跳变，这么做的结果使得该点的灰度值很大，这样就出现了上面的结果。
这种模板就是一种边沿检测器，它在数学上的涵义是一种基于梯度的滤波器，又称边沿算子，你没有必要知道梯度的确切涵义，只要有这个概念就可以了。梯度是有方向的，和边沿的方向总是正交(垂直)的，例如，对于上面那幅图象的转置图象，边是水平方向的，我们可以用梯度是垂直方向的模板 检测它的边沿。
例如，一个梯度为45度方向模板 ，可以检测出135度方向的边沿。-we give a template and an image. It is not difficult to find the maximum were left dark, right-liang, in the middle there is a clear boundary. After the template for the operation results are as follows :. Can be seen, three, four out other than the gray value is much higher, eye observation, we can obviously found a bright side. Other regions are dark, and this has played a role in the detection of 2500. Why is this the case? A closer look at the template on which to understand it. It means the right to the point o gray minus left point as a gray value of the point of gray values. In a similar gray area, do so as a result of the point of gray values close to 0; And near the border. gray values jump significantly changed, the results do make the point very gray value, and this appeared to Platform: |
Size: 9216 |
Author:李涯 |
Hits:
Description: A face eye detection based on the whole image gray level. Except the adaboost, this is one of the best location algorithm.-eye detection based on the whole imag e gray level. Except the adaboost. this is one of the best location algorithm. Platform: |
Size: 4096 |
Author:tuzhiguo |
Hits:
Description: 人脸检测，通过高斯变化，灰度处理，二值化后得到黑白的图像，通过对水平和垂直经行积分得到眼睛位置信息，从而框选眼部-Face detection, gauss changes, gray, black and white binary image, after we get through the horizontal and vertical integration eye position information, and thus box choose eye Platform: |
Size: 1024 |
Author:susan |
Hits:
Description: 针对复杂背景下静态人脸灰度图像 ,提出一种人眼自动定位方法.-Against the complex background of static face gray image, proposed a method for automatic positioning of human eyes. Platform: |
Size: 218112 |
Author:夏天 |
Hits:
Description: 人眼的识别是计算机人脸识别和智能监控中的重要部分。本文提出了一种基于灰度投影
曲线和边缘检测进行人眼定位的新算法。首先利用原图的垂直灰度投影曲线确定人脸的左右边界, 之
后利用人脸区域的水平灰度投影确定头顶至鼻中部的上下边界, 然后利用人脸比例模型估计人眼的大
概位置, 分析人眼区域的边缘图象, 给出人眼的确切位置。实现表明, 该算法简单、快速, 鲁棒性强-Identification of the human eye is the computer face recognition and intelligent control of the important part. This paper presents a projection based on gray curve and edge detection to locate the new algorithm for the human eye. Firstly, original gray projection curve to determine the vertical face of the left and right boundaries, and then use the face region to determine the level of gray projection head to the nose and down the middle of the border, then use the model to estimate the proportion of people face around the eye position analysis the edge of the eye region image, given the exact location of the human eye. Realize that the algorithm is simple, fast and robust Platform: |
Size: 11167744 |
Author:廖减员 |
Hits:
Description: 眼睛状态 的检测具有广 泛的应用9
详细介 绍 了 = 种检测 眼睛状态的方法 ,
即灰度模板方法 、
? 6 7 5
1 )
方法 、
投影 的方法、
找 眼睛上眼睑的方法、
用 ? ? ( 0 5 变换找眼珠的方法9
通过对 这 = 种方法进行组合 ,
提高 了眼睛状态检
测 的准确率9
通过对 Α Β
个眼睛进行检测 ,
准确率达到 了 Α =
9
? Χ9
实验结果表明 了这 = 种算法组合算法的有效性-Detection of eye state with a wide range of applications = 9 details the types of eye state detection method, that is gray template method? 6751) method, projection method, the method to find the eyes on the eyelids, with a ? ? (0 to find ways transform eyes 5 through 9, the combination of these = methods to improve the accuracy of eye state detection rate of 9 Α Β months through the eyes of detection, precision is Α = 9 ? Χ9 experimental results show that = kinds of algorithm combinations algorithm Platform: |
Size: 971776 |
Author:廖减员 |
Hits:
Description: 利用灰度积分投影直接对输入的人脸图像进行检测，并进行眼睛的定位-Using gray integral projection directly on the input of face image detection, and eye location Platform: |
Size: 365568 |
Author:小小 |
Hits:
Description: 针对基于自适应光学技术的人眼眼底待拼接图像灰度、清晰度不一致以及细节的差异使检测出的角点无法匹配，进而导致图像不能拼接的问题，提出一种在OpenCV配置环境下角点检测的基础上，进行角点匹配的新方法-Adaptive optics for the human eye fundus to be gray stitching, inconsistent, and details of the differences in definition so that the detected corners can not match, which led to the image can not be spliced problem, an environment in OpenCV corner detection configuration based on the new method of corner matching Platform: |
Size: 215040 |
Author:唐浩 |
Hits:
Description: 基于灰度积分方法和模版匹配法的一个人眼检测程序，比较简单，供初学者参考。-Integration method based on gray and template matching method of a human eye detection program, is relatively simple for beginners. Platform: |
Size: 1024 |
Author:zyx |
Hits:
Search - eye detection gray