In order to simplify the three-dimensional building group model, this paper proposes a clustering generalization method based on visual cognitive theory. The method uses road elements to roughly divide scenes, and the...In order to simplify the three-dimensional building group model, this paper proposes a clustering generalization method based on visual cognitive theory. The method uses road elements to roughly divide scenes, and then uses spatial cognitive elements such as direction, area, height and their topological constraints to classify them precisely, so as to make them conform to the urban morphological characteristics. Delaunay triangulation network and boundary tracking synthesis algorithm are used to merge and summarize the models, and the models are stored hierarchically. The proposed algorithm should be verified experimentally with a typical urban complex model. The experimental results show that the efficiency of the method used in this paper is at least 20% higher than that of previous one, and with the growth of test data, the higher efficiency is improved. The classification results conform to human cognitive habits, and the generalization levels of different models can be relatively unified by adaptive control of each threshold in the clustering generalization process.展开更多
根据人眼对彩色图像不同颜色通道的敏感度不同,利用掩蔽效应对人眼感知立体图像质量产生的影响,提出了一种基于视觉阈值分析和通道融合的彩色图像客观质量评价方法。利用人眼视觉阈值确定立体图像的失真是否在人眼可察觉的范围,若失真...根据人眼对彩色图像不同颜色通道的敏感度不同,利用掩蔽效应对人眼感知立体图像质量产生的影响,提出了一种基于视觉阈值分析和通道融合的彩色图像客观质量评价方法。利用人眼视觉阈值确定立体图像的失真是否在人眼可察觉的范围,若失真程度小于视觉掩蔽阈值,则认为没有失真。利用原始和失真彩色图像RGB三通道各自左视点差值图和右视点差值图的奇异值与人眼视觉掩蔽阈值图的奇异值距离来衡量失真图像左右视点图像的质量。原始和失真图像对的绝对差图之差值图像和原始图像对的双目恰可察觉失真阈值图之间的奇异值距离被用于评价失真立体图像的深度感知好坏。不同失真类型下,左右视点质量融合以及左右视点评价和深度感知评价的融合其加权权值不同。对JPEG压缩、JPEG2000压缩、高斯白噪声、高斯模糊和H.264编码5种不同程度失真的312幅退化图像进行了测试,结果显示本文方法与主观感知有较好的一致性,总体CC(Pearson Linear Correlation Coefficient)达到0.94,总体SROCC(Spearman Rank Order Correlation Coefficient)达到0.94,整体均方根误差(RMSE)控制在5.9以内。展开更多
文摘In order to simplify the three-dimensional building group model, this paper proposes a clustering generalization method based on visual cognitive theory. The method uses road elements to roughly divide scenes, and then uses spatial cognitive elements such as direction, area, height and their topological constraints to classify them precisely, so as to make them conform to the urban morphological characteristics. Delaunay triangulation network and boundary tracking synthesis algorithm are used to merge and summarize the models, and the models are stored hierarchically. The proposed algorithm should be verified experimentally with a typical urban complex model. The experimental results show that the efficiency of the method used in this paper is at least 20% higher than that of previous one, and with the growth of test data, the higher efficiency is improved. The classification results conform to human cognitive habits, and the generalization levels of different models can be relatively unified by adaptive control of each threshold in the clustering generalization process.
文摘根据人眼对彩色图像不同颜色通道的敏感度不同,利用掩蔽效应对人眼感知立体图像质量产生的影响,提出了一种基于视觉阈值分析和通道融合的彩色图像客观质量评价方法。利用人眼视觉阈值确定立体图像的失真是否在人眼可察觉的范围,若失真程度小于视觉掩蔽阈值,则认为没有失真。利用原始和失真彩色图像RGB三通道各自左视点差值图和右视点差值图的奇异值与人眼视觉掩蔽阈值图的奇异值距离来衡量失真图像左右视点图像的质量。原始和失真图像对的绝对差图之差值图像和原始图像对的双目恰可察觉失真阈值图之间的奇异值距离被用于评价失真立体图像的深度感知好坏。不同失真类型下,左右视点质量融合以及左右视点评价和深度感知评价的融合其加权权值不同。对JPEG压缩、JPEG2000压缩、高斯白噪声、高斯模糊和H.264编码5种不同程度失真的312幅退化图像进行了测试,结果显示本文方法与主观感知有较好的一致性,总体CC(Pearson Linear Correlation Coefficient)达到0.94,总体SROCC(Spearman Rank Order Correlation Coefficient)达到0.94,整体均方根误差(RMSE)控制在5.9以内。
