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feature-extract
几个大牛对集成了国内外特征提取最前沿的算法,特征提取,DOG,HARRIS,HARRIS-LAPLACE,HARRIS-AFFINE,MSER.描述符,SIFT,AFFINE-SIFT,GLOH.经测试,速度快,描述符准确。(Integration of feature extraction algorithms from several expert of domestic and international, feature extraction: DOG, HARRIS, HARRIS-LAPLACE, HARRIS-AFFINE, MSER; Descriptors: SIFT, AFFINE-SIFT, GLOH. The test reveal the speed and accurate descriptor.)
- 2010-05-10 17:23:44下载
- 积分:1
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cameraCali
张正友标定法,标定图像,将图像进行校正,是当今用的最多的方式方法(This method is so good, I have transferred through this. And it is very useful for the IT workers. This is my first code. Thank you every one.)
- 2015-05-03 23:45:36下载
- 积分:1
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paint
对于vc++中经典的画线画图示例程序.对于类的控制和画线算法的实现.代码简洁明了(For vc++ in a classic example of procedures for drawing a line drawing. The type of control and painting line algorithm. Concise code)
- 2009-04-13 21:09:16下载
- 积分:1
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1
说明: 详细介绍了多普勒天气雷达系统建模与仿真应用 (Details of the Doppler Weather Radar System Modeling and Simulation Application)
- 2010-08-22 10:19:49下载
- 积分:1
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geotifflib
说明: 处理geotiff图像文件格式的开源库,含VC工程文件,编译时需tiff库(libtiff)的支持(handling GeoTIFF image file format open source, containing VC engineering documents, compiled take tiff library (libtiff) support)
- 2006-02-28 10:25:05下载
- 积分:1
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Image_Data1863613112005
Image Database 2.5.0 (w/ thumbnails)
- 2017-01-08 01:43:47下载
- 积分:1
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CvThrehold
基于opencv实时图像的2值化处理,一定要有摄像头(Opencv-based real-time image processing of two values, there must be a camera)
- 2013-11-29 20:29:33下载
- 积分:1
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ImageProcess
26个不同影像处理程序,以VC++开发,是了解影像入门好帮手(26 different image processing procedures to VC++ Development is helpful to understand the image entry)
- 2007-12-19 10:28:27下载
- 积分:1
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Tsharing_Thieh
实现了Thien在他的文章《secret image sharing》中提出的(r,n)门限秘密图像分存方案。
(Thien in his article " secret image sharing" (r, n) Door Threshold Secret Image Sharing Scheme.)
- 2012-07-26 22:35:42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