搜索资源列表
VAmodel
- 一种基于小波的vision attention saliency map 检测源码。分别有灰度,方向,颜色,纹理三个channel.
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
SaliencyMap_v6
- saliency map:detect salient region of image
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 Christof Koch,
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
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
a
- 基于图像显著性分析的活动轮廓模型 Research on Saliency Map Based Active Contours Models
3D_Saliency
- generate 3D Saliency Map-3D Saliency Map
IGsaliency
- IG法(基于频域调整的图像显著区域检测)中的关键步骤,生成图像的显著值矩阵。-Saliency map generation, based on the IG theory (frequency-tuned salient region detection)
saliency
- 根据人眼的视觉关注度模型来计算图像的显著图,文档中包含了近两年的论文供参考-According to human visual attention model to calculate the image of the map, the document contains the papers of the past two years for reference
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
- 可用于计算输入图像或图像序列的基于全局的视觉显著图,或计算标准的Itti显著图。-This can ompute a "Graph-Based Visual Saliency" map for an image or image sequence or compute the standard Itti saliency map.
OpenCV_SaliencyMap
- 数字图像处理SaliencyMap 根据图像的高斯金字塔和灰度梯度信息提取出SaliencyMap,进一步以此为依据选择ROI-Digital image processing Saliency Map based on the image of the Gaussian pyramid and gray-scale gradient information extracted SaliencyMap, further as a basis to select ROI
image-saliency--feature-detection
- 基于图像特征的图像的彩色显著性检测,通过图像的特征获得显著特征,进而得到显著图像- Color Saliency in Image Feature Detection,we get saliency map by features map.
Saliency-Detection
- 《Saliency Detection: A Spectral Residual Approach》是上交高材生侯晓迪在07年的CVPR上发表的一篇论文,这篇文章提出了一个图像视觉显著性的简单计算模型,这个模型和Irri提出的模型是两个截然不同的模型,Irri模型对于图像视觉显著性主要关注整幅图片突出的部分,通过各种特征的融合提取显著性图,而Hou的这个模型一上来关注的点就不在一张图片里突出的地方,而是背景,观察是否大部分图片的背景在某个空间上都满足什么变化,最后剔除背景,自然就只剩下图片突出的
Saliency-Detection
- 提出一种新的显着性检测方法,通过将区域级显着性估计和像素级显着性预测与CNN(表示为CRPSD)相结合。对于像素级显着性预测,通过修改VGGNet体系结构来执行完全卷积神经网络(称为像素级CNN)以执行多尺度特征学习,基于该学习进行图像到图像预测以完成像素级显着性检测。对于区域级显着性估计,首先设计基于自适应超像素的区域生成技术以将图像分割成区域,基于该区域通过使用CNN模型(称为区域级CNN)来估计区域级显着性。通过使用另一CNN(称为融合CNN)融合像素级和区域级显着性以形成nal显着图,并
saliencySuperpixel
- saliency Map and superpixel
Saliencymap
- saliency map detection
SaliencyFilters-master
- 通过直接结合各种多图像显著图和单图像显著图来生成最终的共显着性图(The final co-saliency map is generated by directly combining various multi-image saliency maps and single-image saliency maps.)