-
PC_grid
通过点云数据的格网化，建立格网分块索引，这是一种有效的点云数据存储方式。(
Through the point cloud data grid , the establishment of a grid block index, which is a valid point cloud data storage.
)
- 2014-02-20 10:55:46下载
- 积分：1
-
归档
说明： 扫描文件夹，通过文件大小和创建时间判断图片文件是否重复，并分类和重命名(Scanning folders to determine whether image files are duplicated, categorized and renamed by file size and creation time)
- 2018-12-26 22:11:08下载
- 积分：1
-
gmm
混合高斯模型使用K（基本为3到5个） 个高斯模型来表征图像中各个像素点的特征,在新一帧图像获得后更新混合高斯模型,用当前图像中的每个像素点与混合高斯模型匹配,如果成功则判定该点为背景点, 否则为前景点。通观整个高斯模型，他主要是有方差和均值两个参数决定，,对均值和方差的学习,采取不同的学习机制,将直接影响到模型的稳定性、精确性和收敛性。由于我们是对运动目标的背景提取建模，因此需要对高斯模型中方差和均值两个参数实时更新。为提高模型的学习能力,改进方法对均值和方差的更新采用不同的学习率 为提高在繁忙的场景下,大而慢的运动目标的检测效果,引入权值均值的概念,建立背景图像并实时更新,然后结合权值、权值均值和背景图像对像素点进行前景和背景的分类。(Gaussian mixture model using K (essentially 3-5) Gaussian model to characterize the features of each pixel in the image, in the image of the new frame for updated Gaussian mixture model, with each pixel in the image with a Gaussian mixture current model matching, if successful, determined that the point of the background points, otherwise the former attraction. Throughout the entire Gaussian model, he mainly has two parameters determine the variance and the mean, the mean and variance of the study, to take a different learning mechanism, will directly affect the stability, accuracy and convergence model. Since we are moving object extraction of the background modeling, so the need for the Gaussian model variance and mean two parameters real-time updates. In order to improve the learning ability of the model, an improved method for updating the mean and variance of different learning rates to improve in the busy scene, large and slow moving object detection results, the introduction of)
- 2014-03-25 09:01:12下载
- 积分：1
-
IMageQualityEvaluatingFunction
两个图像质量评价函数，psnr峰值信噪比，正则均方误差nmse，能可用于去噪图像和压缩图像的质量评价，很有用啊。(Two image quality evaluation of the function. Including psnr PSNR, it is mean-square error nmse other. Images can be used for de-noising and compression of image quality evaluation.)
- 2009-04-17 13:24:55下载
- 积分：1
-
cloud
这是一个很全的云模型图像处理，功能全，已运行(This is a good use of the cloud model program, function, good effect, has been in operation)
- 2020-12-28 19:09:01下载
- 积分：1
-
ofdm
实现一个完整的OFDM系统，可以显示频谱图。(OFDM systems to achieve a complete, can be displayed spectrum.)
- 2011-04-20 12:53:56下载
- 积分：1
-
C#截取屏幕源码 可直接截屏、截取当前窗口 实例下载
C#截取屏幕源码 可直接截屏、截取当前窗口 实例下载
- 2012-12-19下载
- 积分：1
-
Key_Technology_for_Image_Mosaics-
提出一种基于特征点的运动场景图像拼接算法。基于相似变换消除选取在运动物体上的特征点，并使用RANSAC算法进行外点的剔除。在融合阶段，根据齐次变换矩阵求得对2幅图像的差异图像，并执行区域增长算法。从而分割出运动区域。使用一种分段映射算法生成全景图像。实验证明了算法的有效性。(A feature-based algorithm for image mosaics of 8c宅Iles with moving objects is pI．oposcd．The algorithm eliminates the feature points which arc selected in
moving objects using similarity transform，and the outliers are eliminated using RANSAC algorithm．In
the image blend phase，a difference of two images is created using homogeneous transformation matrix，and a region growth algorithm is implemented SO as to segment the movmg object region．A piecewise mapping algorithm for generating panoramic images is used．Experimental results show the effectiveness of the algorithm．)
- 2014-04-25 09:17:35下载
- 积分：1
-
Jsteg
Jsteg算法实现，Jsteg是一种基于JPEG的常用信息隐藏算法步骤如下:
首先，把掩体图像分为不重叠的8*8的子块，对每一子块进行DCT并对变换得到的DCT系数进行量化 其次，将待隐藏的信息进行加密，将加密结果嵌入到量化后值不为0，1或-1的DCT系数的最
低有效位(LSB)中，其嵌入顺序是按zigzag扫描顺序进行的。最后，用JPEG的嫡编码(包括哈夫曼编码，游程编码及DPCM)对嵌入秘密信息后的每一子块进行编码，从而得到一个含有秘密信息的JPEG stego文件。(Jsteg Algorithm)
- 2016-03-30 21:45:43下载
- 积分：1
-
kfcm
基于核函数的模糊C聚类均值（fcm）算法(FCM algorithm based on kernel function)
- 2010-06-07 11:20:07下载
- 积分：1
