搜索资源列表
图像分割
- 基于C++程序所实现的图像分割程序，能够将图像中显著性区域提取出来(Based on the C++ program to achieve the image segmentation program, the image can be extracted from the saliency region)
ground_truth_mask
- saliency 图像显著性检测最常用的数据集，有stimulus和pixel-wise groundtruth，共15k张(Saliency image saliency detection of the most commonly used data sets, there are stimulus and pixel-wise groundtruth, a total of 15K)
方差分析
- 方差分析又称“变异数分析”，是R.A.Fisher发明的，用于两个及两个以上样本均数差别的显著性检验(ANOVA, also called variance analysis, was invented by R.A.Fisher, which was used to test the significance of the mean difference between two and more than two samples)
ITTI
- itti显著性代码，生成显著图，并能够以热度图的形式展示(The ITTI saliency code generates saliency maps and can be shown in the form of a heat map)
CmCode-master
- 很多显著性检测的算法，来自CMm的网站，包含matlab以及opencv；(This solution contains source code from Ming-Ming Cheng's research projects. Please refer to the project page for more source code and research data: http://mmcheng.net/ The source code is for educational a
saliency
- 可以实现对图像显著性的检测，它是基于opencv完成的(It enables the detection of image saliency and it is done based on opencv.)
1
- 通过对RGB到LAB颜色空间的转换，从而实现对图像显著性检测。(Through the RGB to LAB color space conversion, in order to achieve the image saliency detection.)
SalientRegionDetector
- 通过将图像的RGB空间向LAB空间转换并进行优化，最终可以实现图像的显著性检测(By converting the RGB space of the image to LAB space and optimizing it, finally the saliency detection of the image can be achieved.)
SaliencyToolbox2.1
- 用ITTI方法来提取显著性区域，ITTI提取显著图的工具包(A model of saliency-based visual attention for rapid scene analysis)
cvprcode
- 卢湖川老师的基于图的流行排序的显著性检测方法(Saliency Detection via Graph-Based Manifold Ranking, CVPR2013)
chhshen-saliency-detection-2429d8bf077a
- 显着对象检测的上下文超图模型，显著性检测算法(Contextual Hypergraph Modeling for Salient Object Detection)
R-t.test
- t检验的使用方法案例 显著性分析以及正态性检验(the sample of t.test in R language)
ft
- 显著性检测算法FT的实现，大概就是计算Lab空间下每点与均值的欧式距离作为显著值(Implementation of the saliency detection algorithm FT)
cvprcode
- 卢湖川"saliency Detection via Graph-Based Manifold Ranking" 代码(The code is for paper "Saliency Detection via Graph-Based Manifold Ranking" by Chuan Yang, Lihe Zhang, Huchuan Lu, Ming-Hsuan Yang, and Xiang Ruan)
MK检验 python
- python下的MK显著性检验，及不同显著性条件下的图件出图(python, MK test, different significant level, picture)
24541189
- 用VB实现的数据的统计描述 包括分布的矩---均值,平均差,标准差,方差和中位数的搜索,均值与方差的显著性检验等()
SaliencyToolbox2.3
- SaliencyToolbox2.3工具箱，可用于显著性检测(SaliencyToolbox2.3 toolbox for saliency detection)
fig6 image contour detection
- AC算法，显著性实现，目标检测算法，图像处理，抠图(The AC algorithm was realized, the target detection algorithm, image processing, image matting)
346011
- 用VB实现的数据的统计描述 包括分布的矩---均值,平均差,标准差,方差和中位数的搜索,均值与方差的显著性检验等()
stepwise
- 逐步回归的基本思想是将变量逐个引入模型，每引入一个解释变量后都要进行F检验，并对已经选入的解释变量逐个进行t检验，当原来引入的解释变量由于后面解释变量的引入变得不再显著时，则将其删除。以确保每次引入新的变量之前回归方程中只包含显著性变量。这是一个反复的过程，直到既没有显著的解释变量选入回归方程，也没有不显著的解释变量从回归方程中剔除为止。以保证最后所得到的解释变量集是最优的。本文件结合实例利用MATLAB实现逐步回归的过程。(The basic idea of gradual regressio