A 3D temperature field reconstruction method using the colored background oriented schlieren(CBOS)method is proposed to address image blurring due to the different refractive index of the multi-wavelength light and si...A 3D temperature field reconstruction method using the colored background oriented schlieren(CBOS)method is proposed to address image blurring due to the different refractive index of the multi-wavelength light and significant errors produced when the traditional background oriented schlieren(BOS)method is applied to high-temperature gas.First,the traditional method is employed to reconstruct the non-uniform 3D temperature field.Second,the CBOS method is applied to correct the distortion.Then,by analyzing the correlation coefficient among different color points of the colored background pattern,the non-uniform temperature field is reconstructed much more accurately.Finally,the experimental results are verified by applying the Runge-Kutta ray-tracing method and the thermocouple contact measurement method.The maximum average temperature error of the CBOS-reconstructed temperature field is 12.92°C,compared with the thermocouples.Therefore,an accurate three-dimensional reconstruction of the temperature field can be achieved by the proposed method effectively.展开更多
Color inconsistency between views is an important problem to be solved in multi-view video applications, such as free viewpoint television and other three-dimensional video systems. In this paper, by combining with mu...Color inconsistency between views is an important problem to be solved in multi-view video applications, such as free viewpoint television and other three-dimensional video systems. In this paper, by combining with multi-view video coding, a coding-oriented multi-view video color correction method is proposed. We first separate foreground and background in first Ggroup Oof Ppictures (GOP) by using SKIP coding mode. Then by transferring means and standard deviations in backgrounds, color correction is performed for each frame in GOP, and multi-view video coding is performed and used to renew the backgrounds. Experimental results show the proposed method can obtain better perform-ances in color correction and multi-view video coding.展开更多
Often we encounter documents with text printed on complex color background. Readability of textual contents in such documents is very poor due to complexity of the background and mix up of color(s) of foreground text ...Often we encounter documents with text printed on complex color background. Readability of textual contents in such documents is very poor due to complexity of the background and mix up of color(s) of foreground text with colors of background. Automatic segmentation of foreground text in such document images is very much essential for smooth reading of the document contents either by human or by machine. In this paper we propose a novel approach to extract the foreground text in color document images having complex background. The proposed approach is a hybrid approach which combines connected component and texture feature analysis of potential text regions. The proposed approach utilizes Canny edge detector to detect all possible text edge pixels. Connected component analysis is performed on these edge pixels to identify candidate text regions. Because of background complexity it is also possible that a non-text region may be identified as a text region. This problem is overcome by analyzing the texture features of potential text region corresponding to each connected component. An unsupervised local thresholding is devised to perform foreground segmentation in detected text regions. Finally the text regions which are noisy are identified and reprocessed to further enhance the quality of retrieved foreground. The proposed approach can handle document images with varying background of multiple colors and texture;and foreground text in any color, font, size and orientation. Experimental results show that the proposed algorithm detects on an average 97.12% of text regions in the source document. Readability of the extracted foreground text is illustrated through Optical character recognition (OCR) in case the text is in English. The proposed approach is compared with some existing methods of foreground separation in document images. Experimental results show that our approach performs better.展开更多
背景采集与处理是伪装设计的首要步骤。为了提高公里级背景范围采样的准确性和完整性,利用系统抽样理论提出了基于空中成像的背景两级采样方法。第一级采样通过剖分背景区域网格获取背景地物和地貌分布规律。第二级采样依据“接受-拒绝...背景采集与处理是伪装设计的首要步骤。为了提高公里级背景范围采样的准确性和完整性,利用系统抽样理论提出了基于空中成像的背景两级采样方法。第一级采样通过剖分背景区域网格获取背景地物和地貌分布规律。第二级采样依据“接受-拒绝”法有针对地获取背景细节图像。基于颜色、距离和纹理特征差异性度量构建背景特征提取模型。然后通过SLIC(simple linear iterative clustering)算法分割超像素图像形成背景特征区域划分。实验中收集了某地300 km^(2)范围12个一级采样点的数据,并分析了背景地物占比和分布特性。针对分析的结果,二级采样采集了戈壁滩、农田村庄和道路三类背景数据。对比了不同分割参数下农田村庄背景图像的分割性能,并探讨了基于k-means和超像素分割模型的差异性。最后生成了3类背景的斑点形状和7种主色特征。结果表明,采样流程能够有效获取公里级背景数据分布和细节纹理颜色特征。超像素分割模型能够优化斑点区域的完整性。该研究为移动目标伪装设计提供基础依据。展开更多
基金Supported by the National Natural Science Foundation of China(52005500)Foundation of Tianjin Educational Committee(2018KJ242)Basic Science-Research Funds of National University(3122019088)。
文摘A 3D temperature field reconstruction method using the colored background oriented schlieren(CBOS)method is proposed to address image blurring due to the different refractive index of the multi-wavelength light and significant errors produced when the traditional background oriented schlieren(BOS)method is applied to high-temperature gas.First,the traditional method is employed to reconstruct the non-uniform 3D temperature field.Second,the CBOS method is applied to correct the distortion.Then,by analyzing the correlation coefficient among different color points of the colored background pattern,the non-uniform temperature field is reconstructed much more accurately.Finally,the experimental results are verified by applying the Runge-Kutta ray-tracing method and the thermocouple contact measurement method.The maximum average temperature error of the CBOS-reconstructed temperature field is 12.92°C,compared with the thermocouples.Therefore,an accurate three-dimensional reconstruction of the temperature field can be achieved by the proposed method effectively.
基金the National Natural Science Foundation of China (No.60672073, No.60872094)the Program for New Century Excellent Talents in University (NCET-06-0537)+2 种基金the Key Project of Chinese Ministry of Education (No. 206059)Scientific Research Fund of Zhejiang Provincial Education Department (No.20070962)the Natural Science Foundation of Ningbo (No.2008A610016).
文摘Color inconsistency between views is an important problem to be solved in multi-view video applications, such as free viewpoint television and other three-dimensional video systems. In this paper, by combining with multi-view video coding, a coding-oriented multi-view video color correction method is proposed. We first separate foreground and background in first Ggroup Oof Ppictures (GOP) by using SKIP coding mode. Then by transferring means and standard deviations in backgrounds, color correction is performed for each frame in GOP, and multi-view video coding is performed and used to renew the backgrounds. Experimental results show the proposed method can obtain better perform-ances in color correction and multi-view video coding.
文摘Often we encounter documents with text printed on complex color background. Readability of textual contents in such documents is very poor due to complexity of the background and mix up of color(s) of foreground text with colors of background. Automatic segmentation of foreground text in such document images is very much essential for smooth reading of the document contents either by human or by machine. In this paper we propose a novel approach to extract the foreground text in color document images having complex background. The proposed approach is a hybrid approach which combines connected component and texture feature analysis of potential text regions. The proposed approach utilizes Canny edge detector to detect all possible text edge pixels. Connected component analysis is performed on these edge pixels to identify candidate text regions. Because of background complexity it is also possible that a non-text region may be identified as a text region. This problem is overcome by analyzing the texture features of potential text region corresponding to each connected component. An unsupervised local thresholding is devised to perform foreground segmentation in detected text regions. Finally the text regions which are noisy are identified and reprocessed to further enhance the quality of retrieved foreground. The proposed approach can handle document images with varying background of multiple colors and texture;and foreground text in any color, font, size and orientation. Experimental results show that the proposed algorithm detects on an average 97.12% of text regions in the source document. Readability of the extracted foreground text is illustrated through Optical character recognition (OCR) in case the text is in English. The proposed approach is compared with some existing methods of foreground separation in document images. Experimental results show that our approach performs better.
文摘背景采集与处理是伪装设计的首要步骤。为了提高公里级背景范围采样的准确性和完整性,利用系统抽样理论提出了基于空中成像的背景两级采样方法。第一级采样通过剖分背景区域网格获取背景地物和地貌分布规律。第二级采样依据“接受-拒绝”法有针对地获取背景细节图像。基于颜色、距离和纹理特征差异性度量构建背景特征提取模型。然后通过SLIC(simple linear iterative clustering)算法分割超像素图像形成背景特征区域划分。实验中收集了某地300 km^(2)范围12个一级采样点的数据,并分析了背景地物占比和分布特性。针对分析的结果,二级采样采集了戈壁滩、农田村庄和道路三类背景数据。对比了不同分割参数下农田村庄背景图像的分割性能,并探讨了基于k-means和超像素分割模型的差异性。最后生成了3类背景的斑点形状和7种主色特征。结果表明,采样流程能够有效获取公里级背景数据分布和细节纹理颜色特征。超像素分割模型能够优化斑点区域的完整性。该研究为移动目标伪装设计提供基础依据。
