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Determination of blur and affine combined invariants by normalization

✍ Scribed by Yani Zhang; Changyun Wen; Ying Zhang; Yeng Chai Soh

Publisher
Elsevier Science
Year
2002
Tongue
English
Weight
299 KB
Volume
35
Category
Article
ISSN
0031-3203

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✦ Synopsis

The determination of invariant characteristics is an important problem in pattern recognition. In many situations, images to be processed are usually subjected to geometric distortion and/or blur degradation. In this paper, we introduce an approach to derive blur and a$ne combined invariants (BAI). Firstly, we normalize the image to a standard form by using blur invariant moments as normalization constraints. Then, we construct the blur and a$ne combined invariants at the standard form. Using the method proposed in this paper, a set of blur and a$ne combined invariant features can be obtained easily and e!ectively. Several experimental results are presented to illustrate the performance of the invariants for simultaneously a$ne deformed and blur degraded images.

πŸ“œ SIMILAR VOLUMES

Combined blur and affine moment invarian
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✍ TomΓ‘Ε‘ Suk; Jan Flusser πŸ“‚ Article πŸ“… 2003 πŸ› Elsevier Science 🌐 English βš– 410 KB

The paper is devoted to the recognition of objects and patterns deformed by imaging geometry as well as by unknown blurring. We introduce a new class of features invariant simultaneously to blurring with a centrosymmetric PSF and to a ne transformation. As we prove in the paper, they can be construc