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静态图像显著性分析程序
- 静态图像显著性分析程序，利用matlab开发。加州理工三位教授所写。-Software] Saliency Map Algorithm : MATLAB Source Code Below is MATLAB code which computes a salience/saliency map for an image or image sequence/video (either Graph-Based Visual Saliency (GBVS) or the standard It
SaliencyToolbox_V2.2
- 基于注意力机制,实现彩色图像显著区域提取.源于Dirk B. Walther-The SaliencyToolbox is a collection of Matlab functions and scr ipts for computing the saliency map for an image, for determining the extent of a proto-object, and for serially scanning the image with the focus
SaliencyToolbox2.2
- 图像中显著性目标的检测，最新09MATLAB版本代码。-Significant image target detection, the latest version of the code 09MATLAB.
10.1.1.91.4387
- 一种基于显著图像的物体显著性的评定，主要运用了视觉注意机制-We propose a set of novel features including multi-scale contrast,center-surround histogram,and color spatial distribution to describe a salient object locally,regionally,andglobally.
AIM
- NIPS2006论文“Saliency based on Information Maximization”的源码，用于显著图计算，作者是N. Bruce 和 J.Tsotsos -a code for "Saliency based on Information Maximization",N. Bruce &J.Tsotsos ,NIPS,2006
The unmixing of hypers pectral imagery
- 高光谱图像的解译是遥感图像应用的一个重要环节。基于线性光谱混合模型的光谱解译技术正在越来越广泛地应用。仿真结果表明，当部分端元参与解译和分区域进行解译时，高光谱图像的解译效果会得到较显著改善。-The unmixing of Hyperspectral imagery is a critical link of the application of remote sensing imagery. Based on linear spectral mixture model, spectral u
gbvs
- 二维图像视觉显著性检测，效果非常好。California Institute of Technology的 Jonathan Harel写的，很经典。-Two-dimensional image saliency detection, the effect was very good. California Institute of Technology' s Jonathan Harel written, very classic.
ICCV09
- ICCV09 几篇关于显著度检测的文章 很有启发意义-ICCV09 a significant degree on the detection of several articles
ONEzj
- 根据Itti视觉注意模型得到图像的显著区域。本算法简单并且对一般简单的图像能够提取出比较好的显著区域。-According to Itti visual attention model are significant regions in the image. The algorithm is simple and easy on the general good image to extract a significant area.
pseudo_gravity_for_salient_object_detection
- 改文章取自acm mm 08，讲述了用伪重力场来确定显著物体的方法。 方法简单，新颖，值得学习。-To change the article from acm mm 08, described the pseudo-gravity field to determine the method of significant objects. Simple, innovative, worthwhile.
gusaaian-pyramid_and_csdn
- 用于人造视觉：256*256的图片缩小到25*25，二值化 并通过saliency map提取显著性区域-For artificial vision: 256* 256 pictures down to 25* 25, binary extraction by saliency map significant areas
saliency-and-trim
- 用于人造视觉 256*256的图像缩小到25*25 用saliency提取显著性区域 并根据设定的阈值剪裁-256* 256 for artificial visual image reduced to 25* 25 with saliency extraction of significant regional and in accordance with thresholds set tailoring
pinjian
- 使用频减法检测图像的显著成分，确定显著成分的坐标位置，效果很好，里面的模板可以自己改变-Detection using image subtraction significant frequency component, determine the significant components of the coordinates, the effect is very good, which could have changed the template
Timor_saliency
- 文献 Saliency,scale and Image Descr iption by Timor Kadir 经典显著性，尺度和特征的实现算法，已编译通过，且有示例。-Algorithmn for Saliency ,Scale and Image Descr iption by Timor used for feature extraction.
objectness1
- 提取图像中的显著对象部分，就是人视觉感知的主要部分，运行的是demo.m-Extraction of the image part of a significant object is the main part of the human visual perception, running demo.m
msaliency
- 使用frequency-tuned saliency算法计算图像的saliency值，基于此saliency值将图像中的显著区域提取出来。-Using frequency-tuned saliency saliency value of image algorithm, based on the saliency value of the significant image area extracted.
saliency-object-or-region-detection
- 该文件夹包括代码及其对应的论文。其作用在于模拟人类视觉系统的生理特性--视觉注意机制，按照人眼观察外界的方式，检测视觉显著性物体和区域，并阐述了显著性区域的显著性密度和尺度之间的关系，可应用于生物视觉模拟、视觉目标检测、视觉目标跟踪、视觉智能监控，以及视觉生理学和视觉心理学等的研究中。-This document contains codes and the corresponding paper. The aim is to simulate a physiological character
Wavelet-Analysis
- 小波分析是建立在泛函分析、调和分析、数值分析、逼近论和傅里叶分析等的基础上发展起来的新的时频分析方法。与经典的傅里叶分析相比较，小波变换是空间(时间)和频率的局部变换，因而能有效地从信号中提取信息，因此小波分析有着许多显著的优点。小波变换是空间(时间)和频率的局部变换，因而能有效地从信号中提取信息。通过伸缩和平移等运算功能可对函数或信号进行多尺度的细化分析，解决了Fourier变换不能解决的许多困难问题。 小波分析是时间—尺度分析和多分辨分析的一种新技术，它在信号分析、语音合成、图像识别、计
Saliency
- 显著图计算算法FT, SR, LC, HC, RC，以及saliency cut 的合集。-an windows msi for install saliency detection software, which includes the implementation for FT, SR, LC, our HC, RC and saliency cut method.
simpsal
- 提取图像显著图，小波融合 非常详细，有用-Extract image saliency map, wavelet fusion is very detailed, useful for