搜索资源列表
熵及梯度计算.rar
- 计算图像的信息熵和梯度的算法源码
Cal_entropy.rar
- 基于matlab平台计算一副图像的信息熵,Calculate the entropy of an iamge using matlab
lenaentropy
- 求lena图像的信息熵,图像大小为256X256-For lena image information entropy, image size is 256x256
xinxishang
- 使用matlab编写的一个m文件,主要是计算图像的信息熵-Matlab use m the preparation of a document, the main image is the calculation of information entropy
npcnn4
- 利用信息熵,确定迭代次数,完成pcnn脉冲耦合神经网络的图像分割-The use of information entropy, determine the number of iterations, complete PCNN PCNN image segmentation
tuxiangxinxishangwenzhang
- 包含了三篇图像信息熵概念、公式、应用的文章,希望对做图像处理的人员有所帮助。-3 contains the concept of information entropy images, formulas, the application of the article, I hope to do image processing to help the staff.
MaoSy
- 用MATLAB编写的5个程序,,其中有三个用到高阶谱分析箱HOSA,,可在pudn网站下载这个工具箱。另外有计算信息熵和图像处理的MATLAB程序,,均为自己编写-MATLAB prepared with five procedures, which use higher-order spectral analysis of three boxes HOSA,, can be downloaded from the web sites in the toolbox pudn. In additi
Statistics
- 图像参数统计小程序,可用于统计图像的均值,标准差,图像的信息熵,平均梯度。简单易用。-Image parameter statistics applets can be used for statistical picture of the mean, standard deviation, the image of the information entropy, average gradient. Easy to use.
xinxishang
- 计算256x256灰度图像的信息熵,十分简单易懂-Calculate the information entropy 256x256 gray image
IDL_imageFusion
- 用idl计算图像的信息熵和梯度,对遥感图像融合有很大的意义-use idl caluture entray and glcm of image Remote sensing image fusion has great significance
PCNN
- 基于PCNN实现图像的分割,最后输出图像的信息熵-Based on PCNN image segmentation, the final output image information entropy
The-information-entropy
- 利用信息论的相关知识求得图像的信息熵,进而方便处理-Knowledge of the use of information theory to obtain the information entropy of the image, and thus facilitate the processing of
xinxilun
- 计算图像的信息熵,并转换成灰度图计算互信息比较图像相似程度等-Calculate the image information entropy, and converted into a grayscale image similar to the calculation of mutual information comparing the degree of
imagine entropy
- 一个MATLAB写的求图像的信息熵程序,对大家肯定有用(This is is matlab code about imagine entropy)
新建文件夹
- 一幅大小为256×256的256级灰度图像(每像素8bit) 如果图像的各个像素之间是统计独立的,求该图像的信息熵 -离散无记忆信源 如果图像的各个像素之间不是统计独立的,求该图像的信息熵 -图像像素的概率分布模型(A 256 gray scale image (8bit per pixel) with a size of 256 x 256 If each pixel of the image is statistically independent, the information
计算图像信息熵
- 计算一幅图像的熵,matlab编程文件,任意读取一幅图像,计算信息熵(Calculate the entropy of an image)
IMGprocessing(1)
- 256级灰度图像中,在统计独立与非统计独立的情况下求图像的信息熵。(In the 256 level grayscale image, the information entropy of the image is obtained.)
信息熵
- 计算图像信息熵,用于图像质量的定量化评估(Calculation of image information entropy for quantitative evaluation of image qualit)
entropy_fuzzy_threshold
- 算法步骤: (1) 计算图像直方图,灰度级为Ns,图像的平均灰度值为Tc; (2) 分别计算第一个灰度级和其余灰度级的信息熵并求和,前两个灰度级和其余灰度级的信息熵并求和,以此类推计算Ns个和; (3) 找到H在Tc附近最大值的位置Tenf即为阈值; (4) 图像中大于阈值的像素置1,其余置0而实现二值分割。 算法的核心:信息熵越大越有不确定性,分割出的图片越好。(Algorithm steps: (1) the histogram of the image is calcula
图片(信息熵、对比度、平均亮度、清晰度)
- 计算一幅图片参数的程序合集(信息熵、对比度、平均亮度、清晰度)(informationentropy,constrast,luminosity,avegrad)