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homest-1.1
- homest is a C/C++ implementation of an algorithm for non-linear, robust homography estimation from matched image point features that is distributed under the GNU General Public License.
pim_fusion_1.0.0
- PIM Fusion provides secure, web based distributed information management. Capabilities include: file browsing, searching and archiving, document search capabilities (PDF, Word docs, PowerPoint, etc), a web calendar, image gallery, and contact manager
LDPC-Video_ROI-2005
- 最权威的斯坦福大学分布式视频编解码的源码-Distributed Video Coding
adptiveldpc
- 实现了码率自适应LDPC编解码，可用于分布式信源编码-Achieved a rate adaptive LDPC coding and decoding, can be used for distributed source coding
kmean
- 基于OpenCV的二元吗，实现了划分随机分布点集的K-均值算法。按照类别分组的输入样本顺序输出包含样本类别索引的数组labels(i)，存储在样本矩阵的第i行中。-Based on the binary OpenCV吗, implementation of the demarcation point set of randomly distributed K-means algorithm. Input in accordance with the type of packet contains
KDIS_v1-9-2
- 完整的分布交互模拟源代码执行程序，每个pdu已被编码过，可以独立执行-A complete open source implementation of DIS (Distributed Interactive Simulation) in C++. Each PDU has been manually coded so that no additional work should be needed in order to get started. IEEE 1278.1- Full Imple
kmean
- 利用OpenCV,划分随机分布点集的K－均值算法-The use of OpenCV, divided randomly distributed point set of K-means algorithm
Distributed-SAR
- 分布式合成孔径雷达成像仿真，包含像素级配准。-Distributed Simulation of synthetic aperture radar imaging, including pixel-level registration.
zhifangtujunheng
- 直方图均衡化是图像处理领域中利用图像直方图对对比度进行调整的方法。这种方法通常用来增加许多图像的全局对比度，尤其是当图像的有用数据的对比度相当接近的时候。通过这种方法，亮度可以更好地在直方图上分布。这样就可以用于增强局部的对比度而不影响整体的对比度，直方图均衡化通过有效地扩展常用的亮度来实现这种功能。-Histogram equalization is the use of image processing to adjust the image histogram of the contras
histo
- 直方图及直方图均衡化，用来增加许多图像的局部对比度，尤其是当图像的有用数据的对比度相当接近的时候。通过这种方法，亮度可以更好地在直方图上分布。这样就可以用于增强局部的对比度而不影响整体的对比度，直方图均衡化通过有效地扩展常用的亮度来实现这种功能。 -Used to increase the local contrast of many images, especially when the contrast of the image of the useful data is very c
entropy
- The Shannon entropy is a measure of the average information content one is missing when one does not know the value of the random variable. The concept was introduced by Claude E. Shannon in his 1948 paper "A Mathematical Theory of Communication".
sar
- SAR成像算法的分析； SAR成傢算法简要介绍 ；Chirp-scaling算法 ； 分布式小卫星SAR解方位多普勒模糊的点目标仿真； 分布式小卫星SAR成像的仿真参数 ； 点目标成像仿真及结果-SAR imaging algorithm analysis SAR algorithm married briefly Chirp-scaling algorithm distributed small satellite SAR azimuth Doppler ambiguity sol
detection
- 随着生产和工艺的进步，人们对产品的质量要求越来越高，基于机器视觉的在线 检测系统成为一种重要的质量控制手段。本文对应用于宽幅面、高精度的基于分布式 机器视觉的产品表面缺陷在线检测理论与算法进行了研究，并在此基础上以印刷品和 浮法玻璃的缺陷检测为例，完成了模式产品和非模式产品的缺陷在线检测系统。-With the progress of production and technology, people are increasingly demanding high quality p
Quasi-dense-match
- 代码用于寻找图像间的匹配点。先使用SIFT匹配算法得到两幅图像间的稀疏匹配点，然后再使用quasi-dense propagation算法得到quasi-dense匹配点。代码使用C++编写。 -This program is used to find point matches between two images. The procedure can be divided into two parts: 1) Firstly, using SIFT matching algor
Histogram-equalization
- 这种方法通常用来增加许多图像的局部对比度，尤其是当图像的有用数据的对比度相当接近的时候。通过这种方法，亮度可以更好地在直方图上分布。这样就可以用于增强局部的对比度而不影响整体的对比度，直方图均衡化通过有效地扩展常用的亮度来实现这种功能。-This method is usually used to increase the local contrast of many images, especially useful when the image contrast data very clos
inverse-normal-cumulative
- 用于图像检测的正态分布计算的c代码实现，现在将这个函数写在头文件中了-Normally distributed computing for image detection of the c code, this function will now be written in the header file in the
Recent-advances-in-DVC
- 分布式视频编码领域的最新应用和最新发展成果-Distributed video coding of the latest applications and latest developments
gauss
- 利用C语言编程产生随机数，先产生0-1均匀分布随机数，再利用中心极限定理产生高斯分布随机数。- Using the C programming language to generate random numbers, uniformly distributed by first generating a random number 0-1, and then use the central limit theorem Gaussian random number generation.
deconv_alm
- 高斯噪声的小波变换仍然是高斯分布的，它均匀分布在频率尺度空间的各部分，而信号则由于其带限制性，它的小波变换系数仅仅集中在频率尺度空间上的有限部分。-Wavelet transform of the Gaussian noise is still Gaussian distribution, it is uniformly distributed in various parts of the frequency scale space signal because its a restricti
Study-of-Target-Tracking
- 本文讨论了小波神经网络在机动多目标跟踪中的应用,多目标跟踪就是主体为了维持对多个目标(客体)当前状态的估计而对所接收的量测信息进行处理的过程。以非线性大规模并行分布式处理为特征的神经网络可以解决传统的目标跟踪方法的难以解决的计算量组合爆炸问题以及需要确定机动目标的数学模型的问题, 将小波分析原理与神经网络相融合,提出了基于小波神经网络的目标跟踪方法来提高系统的学习能力、表达能力以及机动多目标状态的估计精度。-This article discusses the application of wa