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- Norell, Kristin
(författare)
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An automatic method for counting annual rings in noisy sawmill images
- 2009
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Ingår i: Image Analysis and Processing – ICIAP 2009. - Berlin, Heidelberg : Springer Berlin / Heidelberg. - 9783642041457 ; 5716, s. 307-316
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Konferensbidrag (refereegranskat)abstract
- The annual ring pattern of a log end face is related to the quality of the wood. We propose a method for computing the number of annual rings on a log end face depicted in sawmill production. The method is based on the grey-weighted polar distance transform and registration of detected rings from two different directions. The method is developed and evaluated on noisy images captured in on-line sawmill production at a Swedish sawmill during 2008, using an industrial colour camera. We have also evaluated the method using synthetic data with different ring widths, ring eccentricity, and noise levels.
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| 3. |
- Sladoje, Natasa, et al.
(författare)
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Pixel Coverage Segmentation for Improved Feature Estimation
- 2009
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Ingår i: 15th International Conference on Image Analysis and Processing. - Berlin / Heidelberg : Springer. - 9783642041457 ; 5716, s. 929-938
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Konferensbidrag (refereegranskat)abstract
- By utilizing intensity information available in images, partial coverage of pixels at object borders can be estimated. Such information can, in turn, provide more precise feature estimates. We present a pixel coverage segmentation method which assigns pixel values corresponding to the area of a pixel that is covered by the imaged object(s). Starting from any suitable crisp segmentation, we extract a one-pixel thin 4-connected boundary between the observed image components where a local linear mixture model is used for estimating fractional pixel coverage values. We evaluate the presented segmentation method, as well as its usefulness for subsequent precise feature estimation, on synthetic test objects with increasing levels of noise added. We conclude that for reasonable noise levels the presented method outperforms the achievable results of a perfect crisp segmentation. Finally, we illustrate the application of the suggested method on a real histological colour image.
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| 4. |
- Wernersson, Erik, 1984-, et al.
(författare)
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Segmentation of Wood Fibres in 3D CT Images Using Graph Cuts
- 2009
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Ingår i: Image Analysis and Processing – ICIAP 2009. - Berlin : Springer-Verlag. - 9783642041457 ; 5716, s. 92-102
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Konferensbidrag (refereegranskat)abstract
- To completely segment all individual wood fibres in volume images of fibrous materials presents a challenging problem but is important in understanding the micro mechanical properties of composite materials. This paper presents a filter that identifies and closes pores in wood fibre walls, simplifying the shape of the fibres. After this filter, a novel segmentation method based on graph cuts identifies individual fibres. The methods are validated on a realistic synthetic fibre data set and then applied on μCT images of wood fibre composites.
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