Combinatorial structure of rigid transformations in 2D digital images
► We propose to study rigid transformations of digital images in a fully discrete process. ► We model the parameter space of digital rigid transformations on any subset of Z2 of size N×N by a combinatorial structure. ► We describe this structure which has a space complexity O(N9). ► We propose an (e...
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| Published in: | Computer vision and image understanding Vol. 117; no. 4; pp. 393 - 408 |
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| Main Authors: | , , , |
| Format: | Journal Article |
| Language: | English |
| Published: |
Elsevier Inc
01.04.2013
Elsevier |
| Subjects: | |
| ISSN: | 1077-3142, 1090-235X |
| Online Access: | Get full text |
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| Summary: | ► We propose to study rigid transformations of digital images in a fully discrete process. ► We model the parameter space of digital rigid transformations on any subset of Z2 of size N×N by a combinatorial structure. ► We describe this structure which has a space complexity O(N9). ► We propose an (exact computation) algorithm to build this structure in linear time with respect to its size.
Rigid transformations are involved in a wide range of digital image processing applications. When applied on discrete images, rigid transformations are usually performed in their associated continuous space, requiring a subsequent digitization of the result. In this article, we propose to study rigid transformations of digital images as fully discrete processes. In particular, we investigate a combinatorial structure modelling the whole space of digital rigid transformations on arbitrary subset of Z2 of size N×N. We describe this combinatorial structure, which presents a space complexity O(N9) and we propose an algorithm enabling to construct it in linear time with respect to its space complexity. This algorithm, which handles real (i.e., non-rational) values related to the continuous transformations associated to the discrete ones, is however defined in a fully discrete form, leading to exact computation. |
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| Bibliography: | ObjectType-Article-2 SourceType-Scholarly Journals-1 ObjectType-Feature-1 content type line 23 |
| ISSN: | 1077-3142 1090-235X |
| DOI: | 10.1016/j.cviu.2012.08.014 |