1. |
- Selig, Bettina, 1982-, et al.
(författare)
-
Measuring Distribution of Lignin in Wood Fibre Cross-Sections
- 2009
-
Ingår i: Proceedings SSBA 2009. - Halmstad : EIS, Halmstad University. - 9789163339240 ; , s. 5-8
-
Konferensbidrag (övrigt vetenskapligt/konstnärligt)abstract
- Lignification of wood fibres has important consequences to the paper production, but its exact effects are not well understood. To correlate exact levels of lignin in wood fibres to their mechanical properties, lignin autofluorescence is imaged in wood fibre cross-sections. Highly lignified areas can be detected and related to the area of the whole cell wall. Presently these measurements are performed manually, which is tedious and expensive. In this paper a method is proposed to estimate the degree of lignification automatically. The method is evaluated manually by an expert. Beside some difficulties segmenting cells that do not conform to our model, there was a highly significant correlation between the two methods.
|
|
2. |
- Selig, Bettina, 1982-, et al.
(författare)
-
Segmentation of Highly Lignified Zones in Wood Fiber Cross-Sections
- 2009
-
Ingår i: Proceedings of the 16th Scandinavian Conference on Image Analysis (SCIA). - Heidelberg : Springer Berlin. - 9783642022296 ; 5575, s. 369-378
-
Konferensbidrag (refereegranskat)abstract
- Lignification of wood fibers has important consequences tothe paper production, but its exact effects are not well understood. Tocorrelate exact levels of lignin in wood fibers to their mechanical proper-ties, lignin autofluorescence is imaged in wood fiber cross-sections. Highlylignified areas can be detected and related to the area of the whole cellwall. Presently these measurements are performed manually, which is te-dious and expensive. In this paper a method is proposed to estimate thedegree of lignification automatically. A multi-stage snake-based segmen-tation is applied on each cell separately. To make a preliminary evaluationwe used an image which contained 17 complete cell cross-sections. Thisimage was segmented both automatically and manually by an expert.There was a highly significant correlation between the two methods, al-though a systematic difference indicates a disagreement in the definitionof the edges between the expert and the algorithm.
|
|