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anewdistrbutionofLTcode
- 通过对译码过程中预处理集的分析，提出LT码的最优度分布，指出 其在实际应用中存的问题，并存此基础提出实用的次优度分布-Decoding process by pre-treatment set of analysis, the optimal LT code distribution, pointing out that in practical applications of their existing problems, both practical basis of this dis
image
- 利用差分法配合灰度拉伸对颗粒运动图像进行了处理，直方图分析表明，像素在灰度上的分布特性与颗粒运动的剧烈程度具有相关性-Difference method with the use of gray stretch of particle motion image processing, histogram analysis showed that the pixels in the gray-scale distribution characteristics of particle motion
studentvalue
- 这个函数对给定的alpha和自由值检索学生分布值。 -The function of a given value of alpha and free distribution of the value of search students.
image
- 应用matlab或VC语言编制图像处理软件，软件功能如下： 一、实验类型 1． 读入图像，并对灰度图像或彩色图像进行显示，对彩色图像可以转化为灰度图像；（8学时） 2． 对读入的图像可以实现减小和提高图像分辨率的功能（16学时） 3． 计算灰度图像的直方图并进行显示，讨论不同图像灰度分布的直方图特征（16学时） 4． 对上述图像进行直方图均衡化处理，分析直方图均衡化的处理结果；（16学时） 5． 对给定的彩色图像，显示其R、G、B三分量图像的噪声图像及H、S、I三分量完成
Wayjpb
- 基于webgis的关于08奥运会奖牌的地理分布-Webgis based on 08 Olympic Games medals on the geographical distribution of
D_Page
- 计算Choi-Willams分布!显示Choi-Williams分布三维图!功能简单实用！-Choi-Willams distribution calculation! Choi-Williams distribution shows three-dimensional map! Function is simple and practical!
An_automatic_image_stitching_algorithm_based_on_fe
- 本文提出一种图像特征点匹配算法,并在该算法的基础上形成构建全景图的图像拼接算法. 此算法采用 Harris角检测算子进行特征点提取,并为其分配特征描述符.-This paper presents an image feature point matching algorithm and the algorithm is based on building a panoramic image mosaic algorithm graph. This angle detection algori
showDWT
- 用图片显示图像的各个频率段的小波信息，方便观察图像里的频谱分布-display the wavelet coeeficients in a image, it helps to observe the frequency distribution of a image
NoiseGenerator
- 本实验要求根据课本中给出的高斯噪声和椒盐噪声的概率分布的形状和参数编写两个通用程序分别给一个图像中添加高斯噪声和椒盐噪声。高斯噪声是n维分布都服从高斯分布的噪声，椒盐噪声是图像中经常见到的一种噪声是一种随机的黑点或者白点。在实验中通过它们对应的概率密度函数得到噪声分布函数进而与原图像进行叠加产生出对应的噪声图像-Textbooks in this experiment are given under the Gaussian noise and salt and pepper noise in
IPSF_V_3D
- A function to calculate the defocus length of a spots caused by refractive index mismatch. Also The 3D intensity distribution can be outputted. It have been proved accurate enough by experiment. -A function to calculate the defocus length of a spots
tan
- 图像分割，具体算法参考一下论文 Zhi-Gang Tan， Xiao-Chen Heand Nelson H. C. Yung A Novel Merging Criterion Incorporating Boundary Smoothness and Region Homogeneity for Image Segmentation-Abstract A novel joint region merging criterion combining region ho
entropyandgabor
- 频率域熵图，两个窗口，熵的径向和角向分布，便于分析纹理，还有一个自己写的gabor变换，请参考。-Frequency domain entropy map, two windows, the entropy of the radial and angular distribution, to facilitate analysis of texture, there is a transform gabor wrote it myself, please refer to.
bmp_picture_Histogram
- 一个简单的求bmp图片像素分布直方图的程序-Bmp for a simple picture of the process pixel distribution histogram
bus
- 物流配送车辆调度算法PDF，适合初学者，对学GIS的有很大帮助-Logistics Distribution Vehicle Scheduling Algorithm PDF, suitable for beginners to learn the GIS will greatly help
GridSchedulingUseCase
- Grid Scheduling Use Case 主要是GIS开发的网格技术-Grid Scheduling Use Case developed mainly GIS grid This document provides information to the community regarding the Grid scheduling use case scenarios used in the definition of a Grid Scheduling Architect
02
- 矩陣的索引或下標 特殊用途矩陣 均勻和高斯分布 矩陣的數學運算 -Matrix subscr ipt index or special-purpose uniform and Gaussian distribution matrix matrix arithmetic
LIDA3dBuilding
- 随着LIDAR技术的出现，三维建筑物的提取也受到越来越多的重视。由于LIDAR数据分布的不连续性和不规律 性，直接从机载激光扫描测距数据中进行建筑物提取较为困难。本文提出了一种结合灰度影像的LIDAR数据三维建筑物提 取方法，分三个步骤：首先对灰度影像进行建筑物二维提取；然后将处理后影像和LIDAR数据粗匹配，初步确定LIDAR数 据中的三维建筑物区域；最后利用一组阈值操作进行三维建筑物的精确提取。实验结果表明该方法简单实用，适应性强。-With the emergence of L
psydo-color
- 伪彩色处理是指将黑白图像转化为彩色图像，或者是将单色图像变换成给定彩色分布的图像。由于人眼对彩色的分辨能力远远高于对灰度的分辨能力，所以将灰度图像转化成彩色图像表示，就可以提高对图像细节的辨别力。 伪彩色处理的基本原理是将黑白图像或者单色图像的各个灰度级匹配到色彩空间的一点，从而使单色图像映射成彩色图像。对黑白图像中不同灰度级赋予不同的彩色。 -Pseudo-color processing refers to the black-and-white images into color
noise
- 生成一副服从正态分布且加入噪声图像，用于初始实验-Normal distribution to generate an image and adding noise to the initial experiments 搜索
1111
- 数字图象处理教程 INTRODUCTION 4 DIGITAL IMAGE DEFINITIONS 5 COMMON VALUES 6 CHARACTERISTICS OF IMAGE OPERATIONS 7 TYPES OF OPERATIONS 7 TYPES OF NEIGHBORHOODS 8 VIDEO PARAMETERS 9 TOOLS 9 CONVOLUTION 10 PROPERTIES OF CONVOLUTION 10 FOUR