运动汽车图像静态视点平滑特征优化仿真  

Simulation on Optimization of Smoothing Characteristics of Moving Car'S Image Static Viewpoints

作　　者：刘伟[1,2] 崔永锋[1] 吴相林[2] 

机构地区：[1]周口师范学院计算机科学与技术学院,河南周口466001 [2]华中科技大学自动化学院,湖北武汉430074

出　　处：《计算机仿真》2014年第10期205-208,333,共5页Computer Simulation

基　　金：国家自然科学基金项目(U1204618);河南省重点科技攻关项目(102102210265);河南省基础与前沿研究项目(132300410400)

摘　　要：由于运动汽车图像在特征采集过程中,汽车处于高速运动状态,采集的过程无法与汽车完全同步,造成汽车的特征像素分量在高速运动中丢失,产生较大的像素运动噪声,使得汽车图像边缘高频特征因为运动干扰而模糊。传统的平滑过渡方法在对运动汽车图像进行平滑处理时,按照图像中像元灰度值计算突变特性,但受到像素丢失与噪声无法抑制的影响,无法解决运动汽车图像高频分量对图像像元灰度值的干扰问题。提出基于替身运动DR算法的运动汽车图像静态视点平滑过渡方法,用替身像素描述汽车在场景中的运动特征,替身像素在场景中运动并同其它汽车的替身进行交互,采用局部化的车辆模型提高运动汽车场景的逼真度,通过依据替身运动的平滑过渡算法完成归一化线性运动汽车图像静态视点的平滑过渡,解决了运动汽车图像的平滑过渡问题。实验结果说明,所提方法可确保运动汽车图像边缘锐化,有效处理平滑噪声和锐化边缘。A moving car＇s image static viewpoint smooth transition method is proposed based on substitute move- ment DR algorithm, substitute pixels are utilized to describe the moving characteristics of car in the scene, and at the same time substitute pixel is moving in the scene, it keeps exchanging with the substitute of the other car, the locali- zation of the vehicle model is adopted to improve the fidelity of moving car scene. Based on smooth transition algo- rithm of substitute movement to complete the smooth transition of normalized linear moving car＇s image static view- point, the problem of smooth transition of the moving car＇s image is solved. The experimental results indicate that the proposed method can ensure the sharpening edge of moving car＇s image, and effectively deal with the smooth noise and sharpen edge.

关 键 词：归一化线性滤波 运动汽车图像 静态观点 平滑过渡 

分 类 号：TP311[自动化与计算机技术—计算机软件与理论]