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harris-corner-detector.rar
- harris角点检测算法,用于图像拼接的配准,harris corner detection algorithm for image mosaic of the registration
harris.rar
- 利用harris算法实现角点检测,进行图像配准,use harris to detect the corner
harris_corners_image_registration
- 应用harris算子进行角点检测,然后利用相关性检测得到匹配焦点,然后进行图像的重采样,适于对于彩色图像的处理,对于灰度图像,只要将harris算子检测时的图像从彩色道灰度图像的语句去掉即可-Application of operator harris corner detection, and then make use of relevant test match to be the focus, and then carried out resampling images, suitabl
harrisdetector
- harris角点检测算法,有详细的备注,可以设置输入参数,检测效果很好-harris corner detection algorithm, there is detailed Remarks, Detect good effect
HarrisCorner
- 利用openCV找出已知图像中的角点, 利用slider bar 控制临界值, 并显示出通过临界值的角点像素, 并用non-maxima suprression 使之变稀疏并显示-routines in OpenCV to demonstrate the operations of the Harris Corner detector. 1. Open the image box_in_scene.jpg and show the image in a window. 2. Compute
HarrisCorner
- Harris Corner operator algorithm opens bmp
Harris_user
- Matlab code to detect Harris corner points in user selected area.
point_matching
- Harris角点检测算法,特征提取的有效方法,检测效果好,算法的计算时间比较适中。-Harris corner detection algorithm, feature extraction is an effective way to detect the effect of a good algorithm relatively modest computing time.
Harris_VC
- 基于VC++的Harris角点检测算法的实现,可以对边界进行检测-VC++ based on the Harris corner detection algorithm can detect the boundary
Harris
- 角点检测的一个很好的程序,希望对大家有所帮助。-a good corner dectection in visual c++,and it will be useful for everyone who wants to detect corners.
Harris-corner-detect
- Harris角点检测程序。选定图像中某以区域,通过设置角点的最大个数和最小个数来设定检测阈值。-Harris corner detection process. A selection of images to the region by setting the maximum number of corners and the minimum number to set the detection threshold.
harris
- 角点提取,利用HARRS角点检测方法,测试出棋盘格角点,是标定的前提-corner detect
harris
- Harris Corner角点检测程序,检测图像上的角点,并用红圆在图像上标出,VC6下编译通过-Harris Corner corner detection process to detect the corner of the image and the image with a red circle marked, VC6 compiled by
harris-detect
- 基于openCV的Harris角点检测。开发环境vs2008-harris detector based on openCV.
Harris
- 研究一种红外医学图像处理与分析方法,实现红外人脸图像中特征区域的自动定位。方法 针对红外正面脸部图像,采用一种无监督的局部和全局的特征提取方法,首先通过阈值法区分出前景和 背景,并根据面部特征对称性在前景中确定鼻区 然后在面部确定一个包含所有特征的矩形区域,利用 Harris算子在该区域检测出角点,并找出这些点的局部最大值点 最后用K-means方法对这些点进行 聚类 -To develop an mi age analyzing procedure forautomatic
cvCornerHarris
- openCV cvCornerHarris function implementation. detect Harris edges. You may need to set different parameters according to your implementation.
harris.m
- Sample code for detecting Harris corners Input: im ... grayscale image topn ... how many features to detect Ouput: x,y ... feature co-ordinates, strength==Harris corner strength-Sample code for detecting Harris corners
harris
- 基于harris的角点检测算法和hough直线检测。去判断图片角点和线存在的位置-base on the haries corner detect algorithm and hough line detection. find the corner and line on the picture.
harris-detect
- MATLAB HARRIS检测算法 可以正确运行的HARRIS角点检测算法-Harris corner detection algorithm MATLAB HARRIS detection algorithm can be run properly
harris角点检测
- cornerHarris函数检测并绘制图像中的感兴趣点(Detect and plot points of interest in the image)