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MaximumShannoninformationentropysegement
- Maximum Shannon information entropy的图像分割，是结合概率统计的方法进行的分割，理论上可以得到图像分割的更多细节。打开即可使用-Maximum Shannon information entropy of the image segmentation, is a combination of the methods of probability and statistics division, in theory, image segmentation can
cal_entropy256
- 可以读取256级灰度图片，并且计算该图片的信息熵，信息论要用到-Can read the 256-level grayscale images, and calculate the image of the information entropy, information theory use
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".
athetic_computation
- 1928年, George D. Birkhoff提出了著名的美学度量公式measure = order/complexity.但是order和complexity具体如何计算并没有给出。本文在Shannon信息论的基础上，提出了基于Shannon entropy和kolmogorov complexity的美学度量。作者认为他们“on a promising track with a sound theoretical basis, which not only extends but wil
zuidashang
- 图像处理的二维最熵算法分析，此算法中介绍了最大熵的基本理论-Image processing of two-dimensional analysis of the most entropy algorithm, this algorithm introduces the basic theory of maximum entropy
xinxishang
- ：将信息论中熵的概念应用到特征选择中，定义了两种信息测度评价特征——误差熵和混叠熵，然后阐述了两种定义的不 用物理意义，分析了计算熵中最关键的区间划分问题，并提出一种较好的区间划分方法。-: The concept of entropy in information theory applied to feature selection, the definition of information measure evaluation of two features- error entro
jpegdecode
- jpeg 解码分析，对jpeg 的熵解码，帧结构，还有idct变换的原理和实现做了详细的解释，并做了代码的分析。-jpeg decode analysis, jpeg entropy decoding, frame structure, there idct transform the theory and implementation a detailed explanation, and do the code analysis.
2paper2
- 根据图像数字水印基本原理和水印信道的构造及生成方式，从信息论的角度，对基于高斯噪声信道的数字水印容量进行探索。针对高斯信源分布具有最大的不确定性、能够在所有的二阶随机分布中提供最大信息熵的特点，分析在高斯分布情况下的整个水印信道通信过程，并引入平均互信息理论，给出基于高斯的水印信道容量的最大通信速率。同时分析加性噪声信道下的容量问题，将高斯分布扩展到非高斯分布，优化容量计算表达式，利用Matlab软件工具给出非高斯信源水印容量与受限失真度的2D和3D关系仿真曲线，并结合实际给出结果分析。-】Ba
ga_segment
- 采用MATLAB语言编程实现了基于遗传算法的最大熵单阈值、最大熵双阈值、二维最大熵单阈值图像分割和基于最大类间方差遗传算法的图像分割-Through the study of threshold segmentation method and genetic algorithm theory, matlab programming language used to achieve the genetic algorithm based on maximum entropy single thre
Entropy-and-Information-Theory
- 信息论的电子书籍，常用于计算机图像处理和电子信息系统中的必修课的课本！-Information Theory，computer image processing
contract
- 主要是利用对比增强来处理图像 利用了模糊集以及模糊熵理论-The main use of contrast enhancement to the image processing using fuzzy sets and fuzzy entropy theory
the-Renyi-entropy-theory
- 建武和申铉京等人充分利用图像空间邻域信息，引入均值-中值-梯度共生矩阵模型，并结合Renyi熵相关理论, 提出一种结合纹理信息的三维Renyi熵阈值分割算法. 同时给出了该方法的快速递推公式。-Jianwu and Shin Hyun Beijing, who make full use of the image spatial information, the introduction of the mean- in value- gradient co-occurrence matrix m
3D-Renyi-entropy-theory
- 魏巍等人提出了一种基于灰度、邻域均值和邻域加权中值三维直方图的最大Renyi熵阈值分割算法。该方法无论在精度上还是抗噪性上都有明显提升。-Wei Wei, who based on gray-scale, neighborhood average and in the neighborhood weighted value of three-dimensional histogram of the maximum Renyi entropy threshold segmentation algo
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