Location:
Search - detect circle
Search list
Description: 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 device。-to write Scan pci bus programs must first consider the PCI spec inside Configuration SpaceHeader plans, and Class code is 24 bit (3byte), the group should be composed of three parts, the Base Class, Sub Class, programming Interface to the PCI BUS on the Base Class, Sub Class , Interface programming model with the original formula added to a circle to detect. Basically, as long as pci understand the structure and reuse examples of programs can be used to identify the pci device.
Platform: |
Size: 10536 |
Author: 张大小 |
Hits:
Description: 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 of coordinate system.
Platform: |
Size: 1840 |
Author: wang gang |
Hits:
Description: 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 the origin of coordinate system.
Platform: |
Size: 2248 |
Author: 华思雨 |
Hits:
Description: 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 device。-to write Scan pci bus programs must first consider the PCI spec inside Configuration SpaceHeader plans, and Class code is 24 bit (3byte), the group should be composed of three parts, the Base Class, Sub Class, programming Interface to the PCI BUS on the Base Class, Sub Class , Interface programming model with the original formula added to a circle to detect. Basically, as long as pci understand the structure and reuse examples of programs can be used to identify the pci device.
Platform: |
Size: 231424 |
Author: 张大小 |
Hits:
Description: 提出了一种基于CCD图像的塑料齿轮齿形缺陷检测方法。采用A102FCCD数字摄像头采集塑料齿轮的图像, 经
过IEEE1394数字接口卡传输到计算机。对含有噪声的原始数字图像实施平滑处理、图像分割、轮廓提取及细化等处理,
使图像转变成易于检测的单像素宽边缘信息。检测了齿轮中心孔的圆心, 进而对齿轮齿形缺陷进行检测。理论分析及实验
结果表明该方法检测速度快、精度高, 满足产品在线检测的要求。-A CCD image of the plastic-based gear defect detection methods. A102FCCD using digital camera images collected plastic gears, the transmission IEEE1394 digital interface card to a computer. Containing the original digital image noise smoothing the implementation of treatment, image segmentation, contour extraction and refining, such as treatment, so that image into a single easy to detect the edge information pixels wide. Detection of the gear center hole of the center of a circle, and thus gear defect detection. Theoretical analysis and experimental results show that the method of detection of high speed and accuracy to meet the requirements of product-line detection.
Platform: |
Size: 391168 |
Author: 高子 |
Hits:
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
Platform: |
Size: 1764352 |
Author: 侯汶杉 |
Hits:
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。 -Position of the iris in a digital image of the 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.
Platform: |
Size: 287744 |
Author: arechi |
Hits:
Description: it s used to detect circles in edge image as input by Hough transform. you can assign a region of interest (ROI) to find center of circle in it.it s effective because time of run is decreased.
Platform: |
Size: 1024 |
Author: hamed |
Hits:
Description: MATLAB检测图像中的多个圆，并且给出此圆的坐标和半径。-detect circle
Platform: |
Size: 715776 |
Author: 张峰 |
Hits:
Description: 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.
Platform: |
Size: 11264 |
Author: Lei |
Hits:
Description: 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
Platform: |
Size: 2482176 |
Author: george |
Hits:
Description: 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.
Platform: |
Size: 22807552 |
Author: ganwei |
Hits:
Description: It is a matlab source code. In this code i used hough transformation to detect circle which have specific radius defined by user.
Platform: |
Size: 1332224 |
Author: Ashab Uddin |
Hits:
Description: 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.
Platform: |
Size: 174080 |
Author: 赵鹏 |
Hits:
Description: 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, faster detection rate of complete circle detection results were better, with cover or other graphic cover, through not detect
Platform: |
Size: 3265536 |
Author: He Hai yu |
Hits:
Description: 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.
Platform: |
Size: 2328576 |
Author: 冰 |
Hits:
Description: 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.
Platform: |
Size: 1024 |
Author: 吴臣 |
Hits:
Description: 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.)
Platform: |
Size: 23552 |
Author: jinglinjinglin
|
Hits:
Description: openc和c++实现检测圆形和直线 建议用qt打开(detect CIRCLE and Line)
Platform: |
Size: 82944 |
Author: 老阴比
|
Hits:
Description: 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 center of different angle, different distortion circle, and output its center coordinates. It is realized by C++.)
Platform: |
Size: 1024 |
Author: L_mo |
Hits: