搜索资源列表
spip
- 本例采用最优控制的方法,利用二次型性能指标,保证小车所滑过的距离-This example USES the optimal control method, using the quadratic performance index, guarantee slip distance by car
K-mean
- K-means算法是很典型的基于距离的聚类算法，采用距离作为相似性的评价指标，即认为两个对象的距离越近，其相似度就越大(K-means algorithm is a typical distance based clustering algorithm. The distance is used as the evaluation index of similarity, that is, the closer the distance between the two objects, the
AVMF
- 图像滤波经典算法:自适应中值滤波及其评价指标PSNR(Classical image filtering algorithm: adaptive median filtering and its evaluation index, peak signal to noise ratio)
Files
- 数字图像处理，图像质量评价指标，matlab 计算图像峰值信噪比(Calculation of peak signal to noise ratio)
woqla-instantiation
- 自由始端和终端的动态规划,求指标函数最小值的逆序算法递归 ％ 计算程序,x是状态变量,一列代表一个阶段状态；M-函数 ％ De()
NSCT
- NSCT分解 图像融合 各个融合指标评价体系 他是分解(NSCT decomposition image fusion)
ssim
- 结构相似性，是一种衡量两幅图像相似度的指标。该指标首先由德州大学奥斯丁分校的图像和视频工程实验室(Laboratory for Image and Video Engineering)提出。SSIM使用的两张图像中，一张为未经压缩的无失真图像，另一张为失真后的图像。(Structural similarity is a measure of the similarity between two images. The target was first presented by the Labor
NPCR_and_UACI.m
- 计算图像处理中的评价指标NPCR和UACI(Calculate the evaluation indexes NPCR and UACI)
图像处理评价指标
- 图像融合中的平均梯度、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(Average gradient, correlation coefficient, information entropy, cross-entropy, joint entropy, mean square error, mutual information, signal-to-noise ratio, peak signal-to-no
峰值旁瓣比和积分旁瓣比
- 评估指标为点目标距离向和方位向峰值坐标、峰值旁瓣比、一维积分旁瓣比、剖面图(The evaluation indexes are peak coordinates, peak sidelobe ratio, one-dimensional integral sidelobe ratio and profile of point targets in range and azimuth directions.)
code
- 可解决图像模糊 及去噪问题，，以及评判指标说明(It can solve the problem of image blur and denoising)
FSIM
- 图像评估指标FSIM，传统全参考图像质量衡量标准FSIM（feature similarity），仿效SSIM的计算构成，同样由两部分耦合的幂指数，FSIM由PC项和GM项耦合(FSIM, the traditional full reference image quality measurement standard (FSIM), is composed of two parts of power index, FSIM is composed of PC term and GM term)