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Features2D_Homography
使用OpenCV实现特征点的查找以及两幅图像中的特征点匹配(Use the function findHomography to find the transform between matched keypoints.
Use the function perspectiveTransform to map the points)
- 2014-03-07 11:04:15下载
- 积分：1
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Shadow-Detection
阴影检测,基于OpenCV用于对图像中阴影的检测(Shadow detection, OpenCV for image shadow detection)
- 2021-04-11 19:08:58下载
- 积分：1
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camshift
用openCV实现，用Camshift算法实现彩色目标跟踪(openCV,color object tracking usingCamshift)
- 2009-02-17 12:15:37下载
- 积分：1
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MFCvtk
说明： MFC结合VTK做图像处理的程序，实现了图像的显示和缩放功能。(MFC combines VTK to do image processing procedures, to achieve an image display and the zoom feature.)
- 2021-02-19 16:09:45下载
- 积分：1
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4
说明： 图象压缩方面的论文
可用于毕业设计方面的工作(Image compression can be used for graduate thesis work of design)
- 2010-05-26 20:22:00下载
- 积分：1
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moving-object-recognition-and-track
本程序完成了对运动图像的识别与跟踪功能，程序里自带了测试的图像(The program to complete the identification and tracking of moving images, the program comes with the test image)
- 2012-08-23 19:46:48下载
- 积分：1
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vc-driven-camera-capture-images
该文档的主要功能就是利用vc编写一段代码实现摄像头采集图像。(The main function of the document is vc write a piece of code to achieve the camera capture images.)
- 2013-04-02 10:43:48下载
- 积分：1
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imnoise
imnoise的M文件，对数字图像的加噪声非常有用处！(imnoise M-files, plus noise on digital images is very useful!)
- 2013-10-19 19:04:08下载
- 积分：1
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jibensanweibianhuan
说明： 可以实现旋转，错切，各种投影图，透视图。是学习三维变换很好的原始参考资料(Can rotate, shear, a variety of projection, perspective. Is to learn the original three-dimensional transform good reference)
- 2020-10-24 16:20:00下载
- 积分：1
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Edge-Thinning
Gray Level Edge Thinning Method
Abstract. An effective edge thinning algorithm is important in image segmentation and object identification since it increases the possibility of success in detecting objects in the image and saves the processing time in the further steps such as labeling and image transformation. We investigate some gray level edge thinning method that is based on the gradient magnitude within 3x3 local neighborhood. The new method has been tested with various types of images the real world. Experimental results show that this method produces more accurate images than those of the popular non-maximum suppression methods do.
- 2016-09-13 22:05:34下载
- 积分：1
