-
DRLSE_v0
李春明 Distance Regularized Level Set Evolution and Its
Application to Image Segmentation对应的分割 程序(Corresponding segmentation procedures by the the Chunming Distance Regularized the Level Set Evolution and Its Application to the Image Segmentation.)
- 2012-06-28 17:35:35下载
- 积分:1
-
mean_shift_v6
在linux环境下,实用c++编写的有关实用mean shift进行视频跟踪,视频分割的很好的程序,运行良好……(Practical mean shift in the linux environment, practical C++ written in the video track, video segmentation procedures, good running ...)
- 2012-03-15 11:10:14下载
- 积分:1
-
BmpBtnTest
说明: 自己写的位图三态按钮还添加了按钮声音,对自己制作图形界面有很大帮助(Write your own bitmap three-state buttons to add the button sounds right to produce their own graphical interface helps a lot)
- 2010-03-27 09:58:15下载
- 积分:1
-
RLE
初学者的游程编码,可以进行小图像的压缩,可以以此为基础进行编码和参考(RLE beginner, you can make small image compression, can be encoded as a basis and reference)
- 2013-11-06 23:00:10下载
- 积分:1
-
FingerRecognition-CSDN-latent
对指纹进行识别,通过gabor进行指纹增强,然后细化得到结果(Fingerprints were identified and enhanced with gabor, and the results were refined)
- 2019-04-25 21:32:02下载
- 积分:1
-
Particle-Algorithm-Status-Trend
介绍了粒子滤波目前主要应用领域, 最后对粒子滤波的发展提出了展望。(Describes the particle filter is currently the main application areas, and finally the development of particle filter raised prospects.)
- 2013-10-18 15:47:04下载
- 积分:1
-
Gabor和Log Gabor
说明: 包括三种gabor方案,3尺度4方向、4尺度6方向、5尺度8方向(Includes three gabor schemes, 3 scale 4 direction, 4 scale 6 direction, 5 scale 8 direction)
- 2019-05-30 19:38:12下载
- 积分:1
-
matlab
使用matlab对医学图像进行处理,不同去噪方法结果的对比。(matlab image nosing)
- 2013-04-11 21:26:37下载
- 积分:1
-
asimpledpcmcode
本人自己编写的一个图像预测编码(DPCM)的简单程序。(I own an image prepared by the Predictive Coding (DPCM) the simple procedure.)
- 2007-01-11 15:28:43下载
- 积分:1
-
python计算机视觉.pdf
本书是计算机视觉编程的权威实践指南,依赖 Python 语言讲解了基础理论与算法,并通过
大量示例细致分析了对象识别、基于内容的图像搜索、光学字符识别、光流法、跟踪、三维重建、
立体成像、增强现实、姿态估计、全景创建、图像分割、降噪、图像分组等技术。(This book is an authoritative guide to computer vision programming, which explains basic theories and algorithms based on the Python language.A large number of examples carefully analyze object recognition, content based image search, optical character recognition, optical flow, tracking, 3D reconstruction,Stereoscopic imaging, augmented reality, attitude estimation, panoramic creation, image segmentation, noise reduction, image grouping and other techniques.)
- 2020-10-13 20:07:31下载
- 积分:1