搜索资源列表
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
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.
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
Itti-saliency
- 视觉注意工具箱，经典的Itti模型的工具箱，是GUI工具箱，有很直观的操作-visual attention toolbox for matlab ,the bos of GUI
visual-attention
- 基于视觉注意和SNAKE模型获得肿瘤轮廓-Get the contour of the tumor based on visual attention and snake model。
usefulItti
- Matlab编写的Itti视觉注意模型的经典算法，有需要的可以下载，内容较多，网上有类似的英文原文文献。-Matlab prepared by the classical algorithm of the Itti visual attention model, there is a need can download more content, similar to the original English text literature online.
gbvs
- 基于matlab利用视觉注意机制模型和图像分割技术提取感兴趣区域-The use of visual attention mechanism based on matlab image segmentation technique to extract the model and region of interest
gbvs
- 利用视觉注意机制来提取图像的相助目标，经过Itti模型修改而成。-Significant regional use of visual attention to extract images
Saliency_MSSS-
- 模拟自顶向下视觉注意机制的感知模型研究，有论文，有程序，效果很好-Self-perception model simulation study of top-down visual attention mechanism
Saliency_Map
- Itti算法和他的文章。Itti提出的显著图模型是一种模拟生物体视觉注意机制的选择性注意模型,比较适合处理自然图像。-Itti algorithms and his article. Itti saliency map model proposed is a simulation of selective attention model organism visual attention mechanism, more suitable for processing natural images
SSIM
- 一种基于视觉注意模型的SSIM改进方法_安军，大家可以参考参考-A SSIM improvement method based on visual attention model _ asa troops, everyone can refer to
code
- 基于人眼的视觉注意模型，模拟人眼腹背通路，提取图像特征。-face recognition
bottom-up-visual-attention-model
- 基于显著性的视觉注意模型用于快速场景分析，效果不错。-Based on significant visual attention model for fast scene analysis, good results.
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)