搜索资源列表
Modeling-attention
- 视觉注意力重要文献，基于该文献Dirk Walthera等人编制了可以在MATLAB环境下运行的图像显著区提取工具-Modeling attention to salient proto-objects
用matlab编写的用于检测图像的显著图及显著焦点工具包
- 用matlab编写的用于检测图像的显著图及显著焦点工具包，ITTI-For detecting image using matlab saliency map and the focus of significant Toolkit, ITTI
gbvs
- 求图像显著区域的GBVS算法，matlab编写，可直接运行-For image salient regions GBVS algorithm
GBVS
- GBVS saliency图像显著区域检测方法，可以与ITTi、谱剩余、以及全局对比方法进行比较。-The GBVS saliency image salient region detection methods, with ITTi spectrum remaining, as well as the global contrast compare.
Plot_PreRecallThousand
- 在进行图像显著性分析时，要通过PR曲线进行比较不同方法的好坏，这个源码可以实现此功能。-Significantly during image analysis, through PR curves comparing different methods is good or bad, this source can achieve this functionality.
saliency
- 两篇关于图像显著性检测的论文及其对应的matlab代码,GBVS 和 imagesignature，已经测试过，希望对大家有用-Two papers about the image saliency detection and the corresponding matlab code, GBVS and image signature, hope it will be helpfull!
saliency-detection
- 基于图和流形排名的图像显著性检测算法，MATLAB实现-Manifold ranking based on maps and image saliency detection algorithm, MATLAB realization
sparse
- 应用局部表示进行图像显著度检测，该方法不需要事先学习字典。-local sparse representation for detecting image saliency with out learning a dictionary.
imageannotation
- 基于图像显著区域的自动标注方法的准确率与整体考虑整幅图像特征相比有很大提高，表明提出的算法优于传统方法。-a novel algorithm based on image saliency is demonstrates the proposed approach is promising．
method1
- 一种新的图像显著区域提取方法，结果更为明显且易于实现-A new image salient region extraction method, the results are more obvious and easy to implement
simpsal
- 基于matlab的图像显著性特征提取 简化的itti算法-Itti extraction algorithm based on a simplified image matlab significant feature
imagesaliency
- 图像显著性图像显著性图像显著性图像显著性图像显著性图像显著性图像显著性图像显著性图像显著性图像显著性图像显著性图像显著性图像显著性图像显著性图像显著性图像显著性图像显著性
0316segment
- 基于OpenCV的图像显著区域检测分割算法,原作者是用MFC类库实现的,我把他改为用OpenCV实现，可以方便的加入自己的OpenCV项目中。具体原理和原代码请参见原作者网站：http://ivrg.epfl.ch/supplementary_material/RK_CVPR09/-OpenCV-based image segmentation algorithm salient region detection, the author is using MFC class library, a
cvpr14_saliency_code
- CVPR 2014上的关于图像显著性区域的检测matlab代码。-Wangjiang Zhu, Shuang Liang, Yichen Wei, and Jian Sun. Saliency Optimization from Robust Background Detection. In CVPR, 2014.
CVPR2014_HDCT
- 图像显著性区域分割，找到一个在高维颜色变换空间中的颜色系数的最佳线性组合，通过这种方法能够把显著性区域的颜色和背景区域的颜色区分开。-image saliency region segmentation
aim_feature
- 视觉注意，特征提取，图像显著性提取，视觉搜索- image feature extraction
SE
- 图像显著性检测算法（SE算法），本人自己编写，亲测可用，效果比较不错。-Image saliency detection algorithm (SE algorithm), I have written, pro-test available, the effect is quite good.
SaliencyOptimization-CVPR2014
- 关于图像显著性检测的matlab代码，里面有使用步骤说明。-About image significant detection matlab code, there are using the steps described below.
0808gbvs
- GVBS视觉注意力模型图像处理算法，用于提取图像显著性区域-GVBS visual attention model image processing source code for extracting significant image area
saliency123
- 一个很好的关于图像显著性提取的代码，很值得学习！-A good image about significant extraction code, it is worth learning!