搜索资源列表
基于视觉注意机制的图像显著图提取
- 基于视觉注意机制的图像显著图提取，包括亮度，dkl颜色，方向等通道，合成图像的显著性描述图
显著图检测
- 用来检测图象中的显著区域,用matlab编写
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
saliency.经典论文的代码
- 一篇经典论文的代码，“Saliency,Scale,image descr iption”，用于寻找视觉显著性的区域，matlab代码,A classic papers of the code, " Saliency, Scale, image descr iption" , for the visual search of the area significantly, matlab code
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
matlabPyrTools.tar
- 计算图像显著性的工具箱：在图像处理领域内应用很广范，是视觉处理领域必不可少的工具。-Calculation of the image toolbox significant: in the field of image processing a wide range of applications, is an indispensable tool for visual processing.
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
RoI
- 对于显著性区域进行标注，同时输出STD，最大值，最小值-Significant area for labeling, while the output STD, maximum, minimum
ImageMatchingviaSaliencyRegionCorrespondences
- 通过显著特征区域进行图像匹配的经典外文文章，强烈推荐-Through the salient features of the region to carry out the image matching the classic foreign-language articles, strongly recommend
daodandandaoyouhua
- 针对助推- 滑翔导弹的弹道优化问题,给出了一种求解其最大射程弹道的分段优化方法,建立了其 纵平面运动模型和弹道优化模型。在考虑攻角绝对值、攻角变化率、法向过载、分离点攻角衔接及落地条件等约束 下,应用序列二次规划法求解了其最大射程弹道。分析表明,助推- 滑翔导弹比传统弹道导弹射程显著提高,其最 优弹道的起伏有助于增大射程和提高突防能力-For booster- Optimize glider ballistic missile problem, give a maximum rang
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
- 基于图论的图片显著性分析算法。详细可参见NIPS08 paper: a graph-based saliency-Based on graph theory image analysis algorithm significantly. Details can be found NIPS08 paper: a graph-based saliency
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