针对3维景深图像仅仅具有距离信息的局限性,提出景深面元的概念,并利用基于景深面元的法向量聚类法对景深图像进行基本的识别.通过景深面元,将Sobel算子引入到景深图像的边缘检测上来,提出了一种简易的景深图像边缘识别方法.为了满足3...针对3维景深图像仅仅具有距离信息的局限性,提出景深面元的概念,并利用基于景深面元的法向量聚类法对景深图像进行基本的识别.通过景深面元,将Sobel算子引入到景深图像的边缘检测上来,提出了一种简易的景深图像边缘识别方法.为了满足3维景深图像重构和识别的实时性要求,采用了ARM(advanced RISC machine)+DSP(digital signal processing)的硬件平台架构.实验结果表明,基于景深面元的3维识别和边缘检测算法是有效可行的.展开更多
Aiming at removing fog from traffic images, a distance field is built according to the characteristics of traffic images, and a novel parameter estimation method based on the traffic image sequence is proposed. The fo...Aiming at removing fog from traffic images, a distance field is built according to the characteristics of traffic images, and a novel parameter estimation method based on the traffic image sequence is proposed. The fog model is derived from atmospheric scattering models. The direction of the distance field is parallel to the center line of the road, which increases along a line from the observer to the horizon, and the normalization is carried out to improve the distribution of the distance field model. After parameter initialization, the variations of the average gray values of reference regions are taken as the determining conditions to adjust the parameters. Finally, restorations are made by the fog model. Experimental results show that the proposed method can effectively remove fog from traffic images.展开更多
文摘针对3维景深图像仅仅具有距离信息的局限性,提出景深面元的概念,并利用基于景深面元的法向量聚类法对景深图像进行基本的识别.通过景深面元,将Sobel算子引入到景深图像的边缘检测上来,提出了一种简易的景深图像边缘识别方法.为了满足3维景深图像重构和识别的实时性要求,采用了ARM(advanced RISC machine)+DSP(digital signal processing)的硬件平台架构.实验结果表明,基于景深面元的3维识别和边缘检测算法是有效可行的.
基金The National Natural Science Foundation of China ( No.60972001)the National Key Technologies R& D Program of China during the 11th Five-Year Period ( No. 2009BAG13A06)
文摘Aiming at removing fog from traffic images, a distance field is built according to the characteristics of traffic images, and a novel parameter estimation method based on the traffic image sequence is proposed. The fog model is derived from atmospheric scattering models. The direction of the distance field is parallel to the center line of the road, which increases along a line from the observer to the horizon, and the normalization is carried out to improve the distribution of the distance field model. After parameter initialization, the variations of the average gray values of reference regions are taken as the determining conditions to adjust the parameters. Finally, restorations are made by the fog model. Experimental results show that the proposed method can effectively remove fog from traffic images.
