Rotation invariants of vector fields from orthogonal moments. (February 2018)

• Record Type: Journal Article
• Authors: Yang, Bo; Kostková, Jitka; Flusser, Jan; Suk, Tomáš; Bujack, Roxana
• Is Part Of: Pattern recognition. Volume 74(2018:Feb.)
• Page Start: 110
• Page End: 121
• Publication Date: 2018-02
• Subjects: Vector field -- Total rotation -- Invariants -- Gaussian–Hermite moments -- Zernike moments -- Numerical stability; Pattern perception -- Periodicals; Perception des structures -- Périodiques; Patroonherkenning; 006.4
• DOI: 10.1016/j.patcog.2017.09.004
• Languages: English
• ISSNs: 0031-3203

Abstract

Highlights: New rotation invariants of vector fields are presented. The invariants are composed of orthogonal Gaussian–Hermite moments. The proposed invariants are computationally more stable and more discriminative than similar invariants presented earlier. Suitable for template matching in vector fields. Abstract: Vector field images are a type of new multidimensional data that appear in many engineering areas. Although the vector fields can be visualized as images, they differ from graylevel and color images in several aspects. To analyze them, special methods and algorithms must be originally developed or substantially adapted from the traditional image processing area. In this paper, we propose a method for the description and matching of vector field patterns under an unknown rotation of the field. Rotation of a vector field is so-called total rotation, where the action is applied not only on the spatial coordinates but also on the field values. Invariants of vector fields with respect to total rotation constructed from orthogonal Gaussian–Hermite moments and Zernike moments are introduced. Their numerical stability is shown to be better than that of the invariants published so far. We demonstrate their usefulness in a real world template matching application of rotated vector fields.