搜索资源列表
sEMG-Based-on-permutation-entropy
- 针对表面肌电信号的混沌特征、噪声强等特点，该文提出了基于排列组合熵的表面肌电信号特征分析方法-The chaotic characteristics of the surface EMG signal and noise characteristics, this paper proposes a sEMG analysis method based on permutation entropy
entropy
- 图像熵信息和平均复杂度的计算，可以很好的反应图像内容信息-Image entropy of information and calculation of average complexity, a good response to the image content information
entropy
- entropy matlab .m file
entropy-aprox
- entropy aproximation matalb .m file
entropy-image-segmentation
- 经典的最大熵法图像分割，对lena图像进行分割。-Classic maximum entropy image segmentation, the segmentation of lena image.
entropy
- This program is calculate byte entropy.
Differenial-Entropy
- about Differential Entropy
entropy
- 信息论中用matlab编程来计算熵，此程序可以修改输入的矩阵，进行新的计算-To calculate the entropy of information theory using Matlab programming, this program can modify the input matrix, a new calculation
matlab-maximum-entropy--segmentation
- matlab计算最大熵分割图像，其中包括最大熵的算法以及原代码-matlab to calculate the maximum entropy image segmentation, including the maximum entropy algorithm and source code
maximum-entropy-principle
- 最大熵原理 写得挺详细，适合搞研究的同学-The maximum entropy principle to write quite detailed, suitable for students engaged in research
entropy
- 用idl计算图像的信息熵，对遥感图像融合有很大的意义-Idl computing the information entropy of the image, have great significance for remote sensing image fusion
Entropy
- Code for calculating entropy images. examplescr ipt.m Main file. Step through the cells. References: C. Wachinger, N. Navab Structural Image Representation for Image Registration CVPR Workshops, Mathematical Methods in Biomedi
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
Gray-entropy-one-threshold-
- 灰度熵与传统shannon熵的区别在于，灰度熵考虑了图像中目标和背景类内灰度级的均匀性，有较好的分割效果。-The difference of Gray entropy and shannon entropy is that the gray entropy considers the target and the background class grayscale image uniformity, and has better segmentated results.
Gray-entropy-two-threshold--pso
- 双阈值的灰度熵方法，结合pso算法，分割效果较好，速度较快。-Gray entropy of the dual-threshold method, combined with the pso algorithm split better and faster.
entropy-matlab
- 各种常用熵的matlab计算源代码，功能齐全，非常有用-A variety of commonly used entropy Matlab source code, fully functional, very useful
LE
- 基于灰度共生举证局部熵方法求图像的分割阈值-Proof based on gray level co local entropy method for solving the segmentation threshold
The-maximum-entropy-method-
- 算法通过将二维直方图分为四部分：背哥、目标．受噪声干扰的背景和受噪声干扰的目标，以选取这四部分的信息熵的和最大作为闽值的选取准则。访方法有三个优点：尽可能包括背罱部分和目标部分；可以有效地提高对噪声敷据的鲁棒性；不过度地引入噪声和边缘信息。实验结果表明，谊方法具有较好的图像分割效果。-Through two-dimensional histogram algorithm will be divided into four parts: back elder brother, target. By
entropy
- 信息熵 函数说明： H=entropy(P,r) 为信息熵函数 P为信源的概率矢量, r为进制数 H为信息熵 -Information entropy Function Descr iption: H = entropy (P, r) the probability vector for the source for the information entropy function P r information entropy as a decim