目的提出一种新的数字输出设备色域边界描述算法模型,以实现数字输出设备色域的三维立体准确再现和色域体积的精确求取。方法通过空间区域分割算法确定Epson Stylus Pro 7910打印机呈色范围的最佳颜色空间分区,利用四面体网格剖分技术...目的提出一种新的数字输出设备色域边界描述算法模型,以实现数字输出设备色域的三维立体准确再现和色域体积的精确求取。方法通过空间区域分割算法确定Epson Stylus Pro 7910打印机呈色范围的最佳颜色空间分区,利用四面体网格剖分技术对各分区色域边界进行描述,同时从色域体积、边界点再现精度等方面,对该方法和基于改进凸壳算法下的设备色域匹配适性进行对比分析。结果该色域边界描述新算法模型在描述的准确性和再现精度方面,明显优于改进后的凸壳算法。结论该算法下各边界颜色点再现精度平均ΔE和最大ΔE均在2以内,并且设备色域体积明显大于改进凸壳算法下的设备色域体积。展开更多
现有的多模态间歇过程软测量未考虑过程数据的批次差异及过渡模态的复杂时变特性,影响了间歇过程模态识别的合理性及质量变量在线软测量的准确性。提出了一种基于双边界支持向量数据描述-相关向量回归(double boundary support vector d...现有的多模态间歇过程软测量未考虑过程数据的批次差异及过渡模态的复杂时变特性,影响了间歇过程模态识别的合理性及质量变量在线软测量的准确性。提出了一种基于双边界支持向量数据描述-相关向量回归(double boundary support vector data description-relevance vector regression,DBSVDD-RVR)的间歇过程质量变量在线软测量方法。依据间歇过程离线模态划分获得的各稳定及过渡模态历史数据,建立DBSVDD在线模态识别模型,并引入滑动窗,构建间歇过程在线模态识别策略,利用DBSVDD模型实现在线测量数据的模态识别;在此基础上,构建了基于超球体距离的数据相似度计算方法,选择过渡模态在线数据的相似建模数据集,建立过渡模态的即时学习RVR软测量模型,并依据历史数据建立各稳定模态的RVR软测量模型,实现间歇过程质量变量的在线软测量。青霉素发酵过程的实验结果表明,所提方法有效地提高了间歇过程模态识别的合理性和质量变量在线软测量的准确性。展开更多
A modified Fourier descriptor was presented. Information from a local space can be used more efficiently. After the boundary pixel set of an object was computed, centroid distance approach was used to compute shape si...A modified Fourier descriptor was presented. Information from a local space can be used more efficiently. After the boundary pixel set of an object was computed, centroid distance approach was used to compute shape signature in the local space. A pair of shape signature and boundary pixel gray was used as a point in a feature space. Then, Fourier transform was used for composition of point information in the feature space so that the shape features could be computed. It is proved theoretically that the shape features from modified Fourier descriptors are invariant to translation, rotation, scaling, and change of start point. It is also testified by measuring the retrieval performance of the systems that the shape features from modified Fourier oescriptors are more discriminative than those from other Fourier descriptors.展开更多
文摘目的提出一种新的数字输出设备色域边界描述算法模型,以实现数字输出设备色域的三维立体准确再现和色域体积的精确求取。方法通过空间区域分割算法确定Epson Stylus Pro 7910打印机呈色范围的最佳颜色空间分区,利用四面体网格剖分技术对各分区色域边界进行描述,同时从色域体积、边界点再现精度等方面,对该方法和基于改进凸壳算法下的设备色域匹配适性进行对比分析。结果该色域边界描述新算法模型在描述的准确性和再现精度方面,明显优于改进后的凸壳算法。结论该算法下各边界颜色点再现精度平均ΔE和最大ΔE均在2以内,并且设备色域体积明显大于改进凸壳算法下的设备色域体积。
文摘现有的多模态间歇过程软测量未考虑过程数据的批次差异及过渡模态的复杂时变特性,影响了间歇过程模态识别的合理性及质量变量在线软测量的准确性。提出了一种基于双边界支持向量数据描述-相关向量回归(double boundary support vector data description-relevance vector regression,DBSVDD-RVR)的间歇过程质量变量在线软测量方法。依据间歇过程离线模态划分获得的各稳定及过渡模态历史数据,建立DBSVDD在线模态识别模型,并引入滑动窗,构建间歇过程在线模态识别策略,利用DBSVDD模型实现在线测量数据的模态识别;在此基础上,构建了基于超球体距离的数据相似度计算方法,选择过渡模态在线数据的相似建模数据集,建立过渡模态的即时学习RVR软测量模型,并依据历史数据建立各稳定模态的RVR软测量模型,实现间歇过程质量变量的在线软测量。青霉素发酵过程的实验结果表明,所提方法有效地提高了间歇过程模态识别的合理性和质量变量在线软测量的准确性。
基金Project(60873010)supported by the National Natural Science Foundation of ChinaProject supported by the Doctor Startup Foundation of Shenyang University of Technology,China
文摘A modified Fourier descriptor was presented. Information from a local space can be used more efficiently. After the boundary pixel set of an object was computed, centroid distance approach was used to compute shape signature in the local space. A pair of shape signature and boundary pixel gray was used as a point in a feature space. Then, Fourier transform was used for composition of point information in the feature space so that the shape features could be computed. It is proved theoretically that the shape features from modified Fourier descriptors are invariant to translation, rotation, scaling, and change of start point. It is also testified by measuring the retrieval performance of the systems that the shape features from modified Fourier oescriptors are more discriminative than those from other Fourier descriptors.
