-
dct-svd
说明: dct-svd域水印算法,实现数字水印图像在载体DCT-SVD域的隐藏(a kind of watermarking algorithm in DCT-SVD domain)
- 2010-04-18 21:48:32下载
- 积分:1
-
video-read-and-coding
在matlab中读入视频序列,并显示出来。对视频流文件进行按帧读取,并计算帧与帧之间差值,并统计差值的分布。(Read into the video sequence in matlab, and displayed. Streaming video, read the press frame, and calculate the difference between frames, and statistical difference between the distribution.)
- 2012-07-11 22:08:34下载
- 积分:1
-
pipei
改程序就代码可以找出从不同角度或区间的两幅遥感影像的同名点(Change the program code can find it from different angles of the same name point or interval of two remote sensing images)
- 2014-05-17 15:48:13下载
- 积分:1
-
10165101220 于文梦
解决一些图像处理的小问题,具体的划分和问题,文件里有提到(Solve some small problems in image processing)
- 2018-12-30 20:33:10下载
- 积分:1
-
invariantMomentShapeDetection
说明: 根据:基于不变矩特征和神经网络的图像模式模糊分类 论文 在matlab上做的实验,有7个不变矩生成和神经网络分类的代码,还要论文原文(According to: Based on the characteristics of moment invariants and neural network image mode fuzzy classification papers in matlab to do the experiment, there are seven moment invariants and neural network classifier to generate the code, but also the original papers)
- 2008-09-08 17:56:15下载
- 积分:1
-
SSR_image_enhance
此程序完成了SSR算法,实现的对比度下的医学图像增强。
可以实现的程序!(this procedure completed the SSR algorithm, and the contrast of the medical image enhancement. The procedure can be achieved!)
- 2007-03-23 09:34:04下载
- 积分:1
-
deeplab V3和unet
说明: 利用全卷积神经网络,实现图像的语义分割,基于tensorflow的keras可以直接运行(Using the full convolutional neural network to achieve semantic segmentation of images, keras based on tensorflow can be run directly)
- 2019-05-31 22:03:57下载
- 积分:1
-
edge-extraction
亚像素提取边缘源代码,可以进行准确的边缘检测(Subpixel edge source code)
- 2013-08-21 09:44:12下载
- 积分:1
-
vqwatermarking
matlab编的基于图像矢量量化的水印程序,用分割码本的办法嵌入水印!(matlab for image vector quantization-based watermarking process, with the approach of the division of code embedded watermark!)
- 2021-01-04 22:08:54下载
- 积分:1
-
headCountCode
采用了Harrtraining和离子滤波算法实现了拥挤人群人头计数,非常有用。VC++和Opencv开发,采用Oepncv中的Harrtraining训练一个分类器即可运行(Human detection and tracking in high density
crowds is an unsolved problem. Standard preprocessing techniques such
as background modeling fail when most of the scene is in motion. We
integrate human detection and tracking into a single framework, and in-
troduce a conrmation-by-classication method to estimate condence
in a tracked trajectory, track humans through occlusions, and eliminate
false positive detections.)
- 2021-03-05 17:39:31下载
- 积分:1