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p76931311
- 要写出Scan pci bus的程式首先必须先参考PCI的spec里面的Configuration SpaceHeader的图,而Class code有24个bit(3byte),组要由三个部份组成,Base Class、Sub Class、 programming Interface 将的PCI BUS上的Base Class、Sub Class、programming Interface用原本的范例程式加上回圈去侦测。基本上只要了解pci的架构,再用范例程式就可以找出有在使用的pci dev
houghcircle
- Function uses Standard Hough Transform to detect circles in a binary image. According to the Hough Transform for circles, each pixel in image space corresponds to a circle in Hough space and vise versa. upper left corner of image is the origin
houghcircle
- 利用hough变换来进行圆形检测.Function uses Standard Hough Transform to detect circles in a binary image.According to the Hough Transform for circles, each pixel in image space corresponds to a circle in Hough space and vise versa. upper left corner of image is t
myfinalwork
- 实现第十章中采用Hough变换来检测图像中圆的过程。并对我提供的一幅灰度图像(sweden-coins.bmp),通过包括平滑(把细节去除),边缘检测(得到轮廓)以及Hough变换得到的圆,并把结果叠加到原来的灰度图像上。给出具体的过程,中间结果,最后结果,实现的代码,并写出报告-Implement Chapter Hough transform to detect the use of the image circle of the process. And I offer a graysca
CircularObjectTracking
- 从摄影头输入影像,可侦测圆形物体,侦测到的圆形会以红色圆圈显示出来,以OPENCV作的-The first input from the photographic images, can detect circular objects detected in the round red circle will appear to OPENCV made
snake
- 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
mySnake-2
- 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
hough_circle
- 可以检测多个细胞图像。先读入分割图像,对图像进行二值化,然后进行hough变换,获得各个圆心和半径,再在分割图像上画圆,方便观察检测效果-hough transform detect circle
ght_for_circle_matlab
- MATLAB检测图像中的多个圆,并且给出此圆的坐标和半径。-detect circle
Face-detect
- This source code is for face detector. Once a face is detected, a circle will be used to detect your face. more than one face can be detected with this source code.
OpenCV-Circle-Detection
- 该函数用于图像中圆形的识别与类圆形的识别-this function is used to detect the circle and ellipse in the image
face-detect
- 在安卓NDK下实现了图像的sift检测,可以圈出特征点,并且能够匹配二幅图像,需要opencv库支持。-In the android to realize the image under the NDK sift detection, can circle the feature points, and the ability to match two images, need opencv library support.
CircularHough_Grd
- It is a matlab source code. In this code i used hough transformation to detect circle which have specific radius defined by user.
Hough-Transfom
- 此程序实现霍夫变换,从而检测园。适合初学者,里面有数据,可直接运行。-this program is called Hough Transfom.it is used to detect circle in an image.
circle-detect
- 自己写的一个基于opencv轮廓检测之后判断是否为圆的小程序,基本思想是判断矢量点积,速度比较快,检测率对完整的圆检测效果比较好,有遮挡或者其他图形遮盖、穿越的无法检测-Himself wrote a later opencv contour detection based on the judgment whether the circle of small procedures, the basic idea is to determine the vector dot product, f
Hough-detect
- 这是一个在VC++环境下的Hough变换检测圆的代码,它能同时检测多个圆,效果较好。-This is a Hough transform circle detection code under VC++ environment, it can simultaneously detect more than one round, the better.
Hough-transform-standard-circle
- 利用图像变换中的霍夫变换,对图像进行检测,检测图像中的类似圆形或者椭圆的边缘,进行图像的特征识别。-Using the Hough transform in image transformation, the image is detected to detect the edge of a circle or ellipse in the image, and the feature recognition of the image is carried out.
识别圆
- 给出一个多个图形的一幅图,识别里面的圆,进行灰度处理,边缘分割等处理,最后标识出图片中的所有圆形。(Given a picture that used for multiple graphics recognition, inside the picture,detect circle include gray processing, edge segmentation, and finally identifies all circles.)
openCV
- openc和c++实现检测圆形和直线 建议用qt打开(detect CIRCLE and Line)
Circle
- 实际检测环境无法采集到完美的圆,所以Hough变换检测圆心经常存在偏差。该程序可检测不同角度,不同畸变圆的圆心,并输出其圆心坐标。利用C++实现。(The actual detection environment can not collect the perfect circle, so the Hough transform is often biased to detect the center of the circles. The program can detect the cent