搜索资源列表
image_fusion_proforma_evalu_quality
- 这是从网上整理出来的图像融合评价标准，总共有13项性能指标。包括平均梯度，边缘强度，信息熵，灰度均值，标准差(均方差MSE)，均方根误差，峰值信噪比（psnr），空间频率(sf)，图像清晰度，互信息(mi)，结构相似性(ssim)，交叉熵(cross entropy)，相对标准差。大家一起交流吧~-This is sorted out from the online image fusion evaluation criteria, there are a total of 13 perform
otsu2
- 大津阈值分割法，也称最大类间方差法，利用图像的灰度分布密度函数定义图像的交叉熵。 交叉熵可看作是两个概率系统（即图像背景及目标）的信息量之间的差异。求出的交叉熵越大，则分割效果越好。 -Otsu threshold segmentation method, also known as Otsu method, the use of gray-scale image distribution density function definition images of cross-ent
MinimumCrossEntropyThreshold
- 最小交叉熵图像分割源代码（原创）.相关参考文献见源代码。-source code for the minimum cross-entropy thresholding algorithm
Image
- 求图像的熵以及两幅图像间的交叉熵，自己验证可以使用，放心下载！-Entropy, as well as for the image between two images of the cross-entropy, can be used to verify their own, rest assured that download!
shilianglianghuafenlei
- 提出一种利用最小交叉熵优化方法的矢量量化分类算法， 将矢量的分类问题转化为最小失真函数估计问题，通过关联随机迭代算法逼近最优值，以更好的减小量化误差。-A minimum cross-entropy optimization of the use of methods of classification of vector quantization algorithm, the classification of the vector into the issue of minimum-dist
crossentropy2dpso
- 这是基于Tent映射粒子群的交叉熵阈值分割程序。-This is code of method based on Tent particle swarm optimization and cross-entropy.
MHt
- mht算法相关资料，宝贵啊。 mht算法相关资料，宝贵啊。-mht algorithms relevant information and valuable ah.
imagesegmentation
- 最优阈值的图像分割 基于一维最小交叉熵图像分割 便捷、快速的单一阈值图象分割-Optimal threshold for image segmentation based on minimum cross entropy one-dimensional image segmentation convenient, fast single-threshold image segmentation
threshold
- 采用最小交叉熵，最大熵，OTSU阈值分割-Using minimum cross entropy, maximum entropy, OTSU thresholding
fusion-evaluation
- 图像融合中常用的评价指标（非常全面）如：平均梯度、相关系数、信息熵、交叉熵、联合熵、均方误差、互信息、信噪比、峰值信噪比、均方根误差、空间频率、标准差、均值、扭曲程度、偏差指数等等。-Image fusion evaluation (very comprehensive): average gradient, correlation coefficient, entropy, cross entropy, joint entropy, mean square error and mutual i
minisum-maximum-otsu
- 实现最小交叉熵 最大熵 OTSU算法的小程序 简单实用-Minimum cross entropy maximum entropy OTSU algorithm procedure is simple and practical
image_fusion_code
- 包括灰度调制法融合(graymodulate)、对比度调制法融合(contrastmodulate)、正交多项式变换法(independencemulti)（及改进算法(independencemultiadd)）融合和彩色融合(colorfusion)及对融合图像的评价——熵（entropy）和交叉熵（cross_entropy）。在MATLAB7.0下可正常运行，并给出融合结果，操作简便。-Including gray scale modulation fusion (graymodulat
codeandpaper
- 很好的mATLAB代码，利用最大交叉熵，确定迭代次数，完成pcnn脉冲耦合神经网络的图像分割，效果很好-MATLAB good code,the use of maximum cross entropy, determine the number of iterations, complete PCNN image segmentation,result is good.
exponential-cross-entropy
- 图像分割-指数型交叉熵阈值分割。针对各类图像都有好的分割效果-Image segmentation- exponential cross entropy threshold segmentation. It has good segmentation effect for all kinds of images.
000-entropy-matching
- 基于图像的局部交叉熵进行目标跟踪，适用于跟踪弱小目标-Target tracking based on local cross-entropy image for tracking small target
statistic
- IDL计算影像均值、标准差、偏差指数、信息熵、平均梯度、光谱扭曲程度、相关系数的小程序。-average gradient, correlation coefficient, entropy, cross entropy, joint entropy, mean square error and mutual information, signal to noise ratio, peak signal to noise ratio,
image-quality-evaluation
- 该matlab代码主要用于计算图像的边缘强度，信息熵，灰度均值，标准差(均方差MSE)，均方根误差，峰值信噪比（psnr），空间频率(sf)，图像清晰度，互信息(mi)，结构相似性(ssim)，交叉熵(cross entropy)，相对标准差。- calculate the uation average gradient, edge strength, information entropy, gray are Value, standard deviation (mean square er
video-anylast
- 里面有贝叶斯，卡尔曼，以及二维交叉熵的代码，很实用，非常适合出入视频分析的同学-There are Bayesian, Kalman, and the two-dimensional cross-entropy code, very practical, very suitable for students to access video analysis
Image_processing_quality_evluation
- 图像处理（图像融合，图像加密等）的性能评价指标集包括：平均梯度，边缘强度，信息熵，灰度均值，标准差(均方差MSE)，均方根误差，峰值信噪比（psnr），空间频率(sf)，图像清晰度，互信息(mi)，结构相似性(ssim)，交叉熵(cross entropy)，相对标准差。-Image processing，average gradient, edge strength, information entropy, gray mean, standard deviation (variance (M
pingjiazhibiao
- 融合图像评价指标，包括平均梯度，交叉熵，信息熵，互信息，结构相似性等。-Fused image uation, including the average gradient, cross entropy, information entropy, mutual information, and so on structural similarity.