关键词: 误差分析, 误差预测, 图像重建, 旋转不变

Abstract: Extraction of image rotation invariant feature is an important application in image processing and pattern recognition. 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 measure 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.

Key words: error analysis, error prediction, image reconstruction, rotation invariant