计算机工程与应用Issue(2)：180-185,6.DOI:10.3778/j.issn.1002-8331.1401-0060
基于三角函数的正交矩函数的误差预测与分析
Error prediction and analysis of orthogonal moment function based on trigonometric functions
摘要
Abstract
Extraction of image rotation invariant feature is an important application in image processing and pattern recog-nition. The orthogonal moment function in polar coordinate is the primary method of extracting feature information. The decomposition and reconstruction error of image is the standard of measuring its feature extraction accuracy. To improve the performance of orthogonal moment function in image reconstruction, it proposes a new orthogonal moment function based on trigonometric functions, and a new measure method based on function error analysis, and applies the new mea-sure method and the traditional method which needs error statistics in a large number of image reconstructions to make a comparison between the new orthogonal moment function and the other two orthogonal moment functions which have the best performance in feature extraction. The result of experiment demonstrates the effectiveness of the new measure method and also concludes that the new orthogonal moment function has better effect in image reconstruction.关键词
误差分析/误差预测/图像重建/旋转不变Key words
error analysis/error prediction/image reconstruction/rotation invariant分类
信息技术与安全科学引用本文复制引用
周勇,邢凯男,周雅慧..基于三角函数的正交矩函数的误差预测与分析[J].计算机工程与应用,2016,(2):180-185,6.基金项目
自然科学基金委青年基金项目（No.61202252）；教育部博士点基金（No.2011AA10A204）。 （）
