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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
一种基于图像显著特征点的检索算法
- 摘要提出一种基于图像显著特征点的检索算法．首先给出一种具有一定自适应能力的显著特征点的提取算 法，即采用改进的图像的块逆概率差模型来提取原图像的块逆概率差图像(DBIP图像)．在此基础上，根据BDIP图 像中像素的分布特点来提取图像的显著特征点．然后以它们为线索，把图像的形状特征和空间颜色分布特征有机 结合起来进行检索．该算法不仅克服利用兴趣点检索时的缺点，而且降低传统显著点提取算法的复杂度，又包含一 定的形状信息，具有较好的检索效率．实验结果表明，该算法是有效的． 关键词基于内容的图
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
adfas
- 基于Gestalt laws的图像显著边界监测和分割技术，适合于做区域和边界信息的图像处理学者参考，请一起分享-Based on Gestalt laws marked the boundary of image segmentation techniques for monitoring and suitable for the regional and boundary information to do image processing and scholars reference, pl
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.