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Robust Object Detection in Colour Images Using a Multivariate Percentage Occupancy Hit-or-Miss Transform
| Content Provider | Scilit |
|---|---|
| Author | Macfarlane, Fraser Murray, Paul Marshall, Stephen Perret, Benjamin Evans, Adrian White, Henry |
| Copyright Year | 2021 |
| Abstract | The extension of Mathematical Morphology to colour and multivariate images is challenging due to the need to define a total ordering in the colour space. No one general way of ordering multivariate data exists and, therefore, there is no single, definitive way of performing morphological operations on colour images. In this paper, we propose an extension to mathematical morphology, based on reduced ordering, specifically the morphological Hit-or-Miss Transform which is used for object detection. The reduced ordering employed transforms multivariate observations to scalar comparisons allowing for an order to be derived and for both flat and non-flat structuring elements to be used. We also compare other definitions of the Hit-or-Miss Transform and test alternative colour ordering schemes presented in the literature. Our proposed method is shown to be intuitive and outperforms other approaches to multivariate Hit-or-Miss Transforms. Furthermore, methods of setting the parameters of the proposed Hit-or-Miss Transform are introduced in order to make the transform robust to noise and partial occlusion of objects and, finally, a set of design tools are presented in order to obtain optimal values for setting these parameters accordingly. |
| Related Links | https://www.degruyter.com/document/doi/10.1515/mathm-2020-0111/pdf |
| Ending Page | 152 |
| Page Count | 25 |
| Starting Page | 128 |
| e-ISSN | 23533390 |
| DOI | 10.1515/mathm-2020-0111 |
| Journal | Mathematical Morphology - Theory and Applications |
| Issue Number | 1 |
| Volume Number | 5 |
| Language | English |
| Publisher | Walter de Gruyter GmbH |
| Publisher Date | 2021-01-01 |
| Access Restriction | Open |
| Subject Keyword | Mathematical Morphology - Theory and Applications Artificial Intelligence Image Processing Mathematical Morphology Hit-or-miss Transform Template Matching Object Detection Pattern Recognition Journal: Mathematical Morphology - Theory and Applications, Vol- 5, Issue- 1 |
| Content Type | Text |
| Resource Type | Article |
