关键词: 图像拼接, 曲率尺度空间, 特征点, Zernike矩

Abstract: An image mosaic algorithm based on curvature scale space was proposed.The Curvature Scale Space（CSS） is employed to detect the feature points.And the matching point pairs are obtained by comparing the Euclidean distance of the Zernike moments，which are computed around a circular neighborhood centered at the feature point.Then the transform parameters are computed through the correct mapping model.Finally，the weighed average method is used to achieve image mosaic.Experimental results demonstrate that the proposed algorithm can effectively stitch two images which are different by rotation，translation and noises.

Key words: image mosaic, CSS, feature points, Zernike moments