计算机工程与应用2011，Vol.47Issue(20)：151-154,4.DOI:10.3778/j.issn.1002-8331.2011.20.043
利用灰度纹理分析方法识别蛋白质空间结构
Spatial structure recognition of protein based on gray texture analysis
摘要
Abstract
The intrinsic complexity of Protein Spatial Structure(PSS) brings a heavy difficulty to its structural classification. In this paper,PSS is mapped into 2-D distance matrix and further regarded as texture image of which textural directions are detected by Radon transform.Consequently, a novel method of feature extraction of PSS with low dimension is proposed based on gray level co-occurrence matrix and Radon transform project matrix.The experiments and the comparison results demonstrate that the presented method can not only product low-dimensional feature and also achieve effective classification of PSS.关键词
距离矩阵/灰度共生矩阵/拉冬变换/支持向量机/特征提取Key words
distance matrix/gray level co-occurrence matrix/Radon transform/support vector machines/feature extraction分类
信息技术与安全科学引用本文复制引用
施建宇,雷朝霞,方智裕..利用灰度纹理分析方法识别蛋白质空间结构[J].计算机工程与应用,2011,47(20):151-154,4.基金项目
国家自然科学基金(the National Natural Science Foundation of China under Grant No.60872145,No.60775012) （the National Natural Science Foundation of China under Grant No.60872145,No.60775012）
中国博士后科学基金(No.2007042113). （No.2007042113）
