A spatial color-mixing model based on tricolor angular frequencies is proposed in consideration that the design theory falls behind the application of digital camouflage pattern.The model is based on Fourier transform...A spatial color-mixing model based on tricolor angular frequencies is proposed in consideration that the design theory falls behind the application of digital camouflage pattern.The model is based on Fourier transform and Gaussian low-pass filter(LPF).In the model,the tricolor angular frequencies are introduced to the spatial frequency response function of human color vision,and the effects of atmospheric attenuation and air screen brightness on color mixture are considered.The field test shows that the model can simulate the color-mixing process in the aspects of color-mixing order,and shape and position of color-mixing spot.But the color-mixing spot color is not perfect,which can be improved by optimizing the atmospheric parameters and tricolor cut-off angular frequencies.The model provides a tool for the research on digital camouflage pattern.展开更多
为改善视频监控中的背景建模方法对于前景目标物较多或者光线变化的复杂环境效果不太理想的缺陷,提出一种多级分块背景建模方法.该方法以间隔N帧帧差法为基础,采用多级分块,并结合对称二值模式(center-symmetric local binary pattern,C...为改善视频监控中的背景建模方法对于前景目标物较多或者光线变化的复杂环境效果不太理想的缺陷,提出一种多级分块背景建模方法.该方法以间隔N帧帧差法为基础,采用多级分块,并结合对称二值模式(center-symmetric local binary pattern,CSLBP)和码本(codebook,CB)等算法建立背景模型.通过模型得出背景较为清晰和完整,为下一步进行前景目标的准确识别提供良好基础.采用设计实验检验该方法的有效性,将其与局部二值模式(local binary pattern,LBP)、CSLBP、CB以及经典的混合高斯背景建模(mixture of Gaussian,MOG)等算法进行对比分析,得出采用此方法提取的前景目标物更加完整,边界更加清晰,且无明显分块图形出现.采用评分的方法对几种方法进行综合评分,该方法评分较高.在对前景目标物的提取方法中,该方法效果较好.展开更多
文摘A spatial color-mixing model based on tricolor angular frequencies is proposed in consideration that the design theory falls behind the application of digital camouflage pattern.The model is based on Fourier transform and Gaussian low-pass filter(LPF).In the model,the tricolor angular frequencies are introduced to the spatial frequency response function of human color vision,and the effects of atmospheric attenuation and air screen brightness on color mixture are considered.The field test shows that the model can simulate the color-mixing process in the aspects of color-mixing order,and shape and position of color-mixing spot.But the color-mixing spot color is not perfect,which can be improved by optimizing the atmospheric parameters and tricolor cut-off angular frequencies.The model provides a tool for the research on digital camouflage pattern.
文摘为改善视频监控中的背景建模方法对于前景目标物较多或者光线变化的复杂环境效果不太理想的缺陷,提出一种多级分块背景建模方法.该方法以间隔N帧帧差法为基础,采用多级分块,并结合对称二值模式(center-symmetric local binary pattern,CSLBP)和码本(codebook,CB)等算法建立背景模型.通过模型得出背景较为清晰和完整,为下一步进行前景目标的准确识别提供良好基础.采用设计实验检验该方法的有效性,将其与局部二值模式(local binary pattern,LBP)、CSLBP、CB以及经典的混合高斯背景建模(mixture of Gaussian,MOG)等算法进行对比分析,得出采用此方法提取的前景目标物更加完整,边界更加清晰,且无明显分块图形出现.采用评分的方法对几种方法进行综合评分,该方法评分较高.在对前景目标物的提取方法中,该方法效果较好.
