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

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.

Key words: distance matrix, gray level co-occurrence matrix, Radon transform, support vector machines, feature extraction