Computer forensics and identification for traditional Chinese painting arts have caught the attention of various fields. Rice paper＇s feature extraction and analysis methods are of high significance for the rice pape...Computer forensics and identification for traditional Chinese painting arts have caught the attention of various fields. Rice paper＇s feature extraction and analysis methods are of high significance for the rice paper is an important carrier of traditional Chinese painting arts. In this paper, rice paper＇s morphological feature analysis is done using multi spectral imaging technology. The multispectral imaging system is utilized to acquire rice paper＇s spectral images in different wave- length channels, and then those spectral images are measured using texture parameter statistics to acquire sensitive bands for rice paper＇s feature. The mathematical morphology and grayscale statistical principle are utilized to establish a rice paper＇s morphological feature analytical model which is used to acquire rice paper＇ s one-dimensional vector. For the purpose of eval- uating these feature vectors＇ accuracy, they are entered into the support vector machine（SVM） classifier for detection and classification. The results show that the rice paper＇s feature is out loud in the spectral band 550 nm, and the average classifi- cation accuracy of feature vectors output from the analytical model is 96 %. The results indicate that the rice paper＇s feature analytical model can extract most of rice paper＇s features with accuracy and efficiency.展开更多
基于2001-2010年10年间Web of Science收录的"水稻"这一关键词,分析了这一领域论文的学科、国家/地区、科研机构、重点期刊的分布,并将分析重点锁定在中国(大陆)的主要科研机构及与其合作较多的国际科研机构;根据Web of Scie...基于2001-2010年10年间Web of Science收录的"水稻"这一关键词,分析了这一领域论文的学科、国家/地区、科研机构、重点期刊的分布,并将分析重点锁定在中国(大陆)的主要科研机构及与其合作较多的国际科研机构;根据Web of Science的ESI数据库,总结了"水稻"研究热点。结果表明,日本、美国和中国"水稻"科研居世界领先水平;中美合作机构最多;发表"水稻"论文最多的期刊是"Plant and Cell Physiology"、"Theoretical and Applied Genetics"和"Plant Physiology";中国科学院、浙江大学、东京大学发文量居全球前3位;中国科学院南京土壤研究所、中国科学院遗传与发育研究所和浙江大学农业与生物技术学院发文量居中国前3位。水稻研究热点集中在转基因、数量性状位点、基因组、稻瘟病和栽培稻等方面。展开更多
基金University-Industry-Science Partnership Project of Guangdong Province and Ministry of Education,China(No.2012B091000155)Strategic Emerging Industries Project of Guangdong Province(No.2011912027)
文摘Computer forensics and identification for traditional Chinese painting arts have caught the attention of various fields. Rice paper＇s feature extraction and analysis methods are of high significance for the rice paper is an important carrier of traditional Chinese painting arts. In this paper, rice paper＇s morphological feature analysis is done using multi spectral imaging technology. The multispectral imaging system is utilized to acquire rice paper＇s spectral images in different wave- length channels, and then those spectral images are measured using texture parameter statistics to acquire sensitive bands for rice paper＇s feature. The mathematical morphology and grayscale statistical principle are utilized to establish a rice paper＇s morphological feature analytical model which is used to acquire rice paper＇ s one-dimensional vector. For the purpose of eval- uating these feature vectors＇ accuracy, they are entered into the support vector machine（SVM） classifier for detection and classification. The results show that the rice paper＇s feature is out loud in the spectral band 550 nm, and the average classifi- cation accuracy of feature vectors output from the analytical model is 96 %. The results indicate that the rice paper＇s feature analytical model can extract most of rice paper＇s features with accuracy and efficiency.
文摘基于2001-2010年10年间Web of Science收录的"水稻"这一关键词,分析了这一领域论文的学科、国家/地区、科研机构、重点期刊的分布,并将分析重点锁定在中国(大陆)的主要科研机构及与其合作较多的国际科研机构;根据Web of Science的ESI数据库,总结了"水稻"研究热点。结果表明,日本、美国和中国"水稻"科研居世界领先水平;中美合作机构最多;发表"水稻"论文最多的期刊是"Plant and Cell Physiology"、"Theoretical and Applied Genetics"和"Plant Physiology";中国科学院、浙江大学、东京大学发文量居全球前3位;中国科学院南京土壤研究所、中国科学院遗传与发育研究所和浙江大学农业与生物技术学院发文量居中国前3位。水稻研究热点集中在转基因、数量性状位点、基因组、稻瘟病和栽培稻等方面。
