搜索资源列表
signatureSal
- 基于图像签名的显著性区域检测，算法很巧妙，好用-computation of a saliency map based on the Image Signature, as described in the following paper: "Image Signature: Highlighting sparse salient regions", Xiaodi Hou, Jonathan Harel, and
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
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.
AC
- 经典视觉显著性算法AC的Matlab代码以及可执行文件。-The Matlab code and executable files of the classic visual saliency algorithm AC.
BMS
- 经典的视觉显著性算法BMS的Matlab代码。-The classic visual saliency BMS algorithm Matlab code.
precision--recall--and-ROC-curve
- 图像分割，显著性算法的precision，recall 和ROC的评价指标计算。-Image Segmentation, significant precision,recall and ROC assessment index calculation algorithm.
Frequency-tuned Salient Region Detection
- 视觉显著性源码程序，帮助研究视觉显著性的算法原理，还包括一篇算法论文，可以对照研究。(Visual saliency source program, to help study the theory of visual saliency algorithm, but also includes an algorithm paper, you can control the study.)
显著性
- 关于AC，LC和FT的c++程序，MFC界面，计算了算法时间(AC, LC, FT programs)
Itti-Matlab
- 经典很好的显著性算法ltti，可以使用，应该有帮助(Classic very significant algorithm ltti, can be used, should be helpful)
gbvs
- 显著性中的GBVS算法，希望可以对您提供好的帮助(This is an installation and general help file for the saliency map MATLAB code here.)
AIM
- 显著性中的AIM算法，希望可以对您提供好的帮助(Significance of the AIM algorithm, hoping to provide you with good help)
SalBenchmark-master
- 显著性中的SalBenchmark-master算法，希望对您的学习有帮助(Significance of the SalBenchmark-master algorithm, I hope to help you learn)
FT
- 显著性FT算法的意义，希望能帮助大家学习。(Significance of the FT algorithm, I hope to help you learn)
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)
caffe-cvpr
- 显着区域检测是计算机视觉中长期存在的问题。它旨在找到最能吸引人眼睛注意的图像中的像素或区域。准确和可靠的显着性检测可以从视觉追踪和识别到图形图像处理等众多任务中受益。例如，成功的对象检测算法有助于自动图像分割，更可靠的对象检测，有效的图像缩略和重定位(Significant regional detection is a long-term problem in computer vision. It aims to find the
RC_C++
- 显著性检测的代码，是程明明在12年的CVPR的文章，HC,RC的算法源码。(The code for saliency detection is the source code of Cheng Mingming's CVPR article, HC, RC, in 12 years.)
code-BL
- 显著性检测研究，cvpr上的文章，BL的源代码，有需要请下载(Significance detection research, article on CVPR, source code of BL, need to be downloaded)
XZX
- 全局低秩显著性检测算法首先根据自然图像前景目标和背景亮度、颜色的差异性重构出图像前景显著目标；然后利用低秩分解对图像中的非显著性区域进行抑制。(The global low-rank saliency detection algorithm first reconstructs the image foreground salient targets based on the difference between the natural
HC
- 4个经典的显著性检测算法之一HC，HC算法和LC算法没有本质的区别，HC算法相比于LC算法考虑了彩色信息。(HC is one of the four classical significance detection algorithms. There is no essential difference between HC algorithm and LC algorithm. Compared with LC algorithm,
GBO加了改进的算法
- 利用柯西、高斯、莱维三种突变策略改进GBO算法，通过测试结果表明，改进的算法有了显著性的提高。(Three mutation strategies of Cauchy, Gauss and Levy are used to improve the GBO algorithm, and the test results show that the improved algorithm has a significant improveme