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
saliency_map_matlab_code
- 基于视觉注意的itti的经典算法saliency map，此代码在matlab平台下执行
Saliency
- 利用视觉注意机制生成显著图（包括matlab程序、exe程序和相应的文章）-Use of visual attention mechanisms generate significant plan (including the matlab program, exe and the related article)
视觉注意机制
- 视觉注意机制源程序，里面有详细的说明关于程序的执行过程，原理易懂
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.
itti-koch-1998
- 有关视觉注意机制的文章，英文原文，itti-Articles on visual attention mechanisms, the English original, itti
A-Model-of-saliency
- 本文是基于生物视觉注意模型的算法介绍，基于显著图理论-This article is based on biological visual attention model algorithm introduced, based on graph theory significantly
xishaoxing
- 模仿人眼的视觉注意机制，以图像中的稀少点和对比度为特征，求出视觉注意点。-Mimic the human eye visual attention mechanism to image point and a contrast ratio of rare characteristics, find the point of visual attention.
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.
saliency
- 视觉注意机制一种新型的目标检测方法，该文给出了一种比较有效的处理策略-Visual attention mechanism to target a new detection method, the paper gives a more effective treatment strategies
Dankers_ICVS07
- 比较经典的视觉注意处理方法，可以用于目标的检测与识别-More classic approach of visual attention, can be used for target detection and recognition
simpsal
- 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-Image-based visual attention saliency map mechanism extraction, including brightness, dkl color and direction of channels, the significance of synthetic image descr iption graph
Non-classical-receptive-n
- 视觉注意的资料罗四维老师的资料PPt，非经典感受野抑制的代码用于轮廓提取，-Luo dimensional visual information for the attention of information teachers PPt, non-classical receptive field inhibition of the code for contour extraction,
tect
- 选择性视觉注意机制下的多光谱图像舰船检测-Selective attention mechanism in the multi-spectral image Ship Detection
saliency-object-or-region-detection
- 该文件夹包括代码及其对应的论文。其作用在于模拟人类视觉系统的生理特性--视觉注意机制，按照人眼观察外界的方式，检测视觉显著性物体和区域，并阐述了显著性区域的显著性密度和尺度之间的关系，可应用于生物视觉模拟、视觉目标检测、视觉目标跟踪、视觉智能监控，以及视觉生理学和视觉心理学等的研究中。-This document contains codes and the corresponding paper. The aim is to simulate a physiological character
Itti-Computational-modeling
- 有关视觉注意机制的文章，英文原文，有关itti的。-Articles on visual attention mechanisms, the English original, itti
sjzyjz
- 基于视觉注意机制的感兴趣区检测，融合视觉注意机制和分水岭分割检测 感兴趣区-Visual attention mechanism based on detecting regions of interest, the integration mechanism of visual attention to detect regions of interest and watershed segmentation
sjzy
- 基于视觉注意机制的人脸区域预检测，引用了itti模型-Based visual attention mechanism pre-face region detection, model references itti
视觉注意加特征程序
- Itti模型中添加特征的程序，添加了全局对比度特征、一致性特征等(matlab code for adding features to Itti model)