next up previous contents
Next: Remote sensing Up: Research Previous: 3D analysis and visualization   Contents

Forestry related applications

29. Image analysis of the internal structure of paper and wood fibre based composite materials in 3D images
Maria Axelsson, Filip Malmberg, Erik Wernersson, Anders Brun, Stina Svensson, Joakim Lindblad, Cris Luengo, Gunilla Borgefors, Catherine Östlund
Partners: Norwegian Pulp and Paper Research Institute (PFI), Trondheim, Norway; STFI-Packforsk, Stockholm; Dept. of Fibre and Polymer Technology, KTH, Stockholm; Dept. of Physics, University of Jyväskylä (UJ), Finland; SINTEF Materials and Chemistry, Norway; Risø National Laboratory, Technical University of Denmark
Funding: S-faculty, SLU; WoodWisdom-Net
Period: 0406-
Abstract: The internal structure of paper is important to study since many material properties correspond directly to the properties of single fibres and their interaction in the fibre network. How single fibres in paper bond and how this effects paper quality is not fully understood since most structure analysis of paper has been performed in cross sectional two dimensional (2D) images and paper is a complex three dimensional (3D) structure, see Fig. 14 (top).
Another application for wood-fibres that has recently gained interest is wood polymer composite materials. The properties of these materials do not only depend on the structure of the fibre network, but also on interaction between the fibres and the polymer matrix surrounding the fibres. Advances in imaging technology has made it possible to acquire 3D images of paper and wood polymer composite materials. In this project, image analysis methods for characterising the 3D material structure in such images are developed. The detailed knowledge of the material structure attainable with these methods is useful for improving material properties and for developing new materials. An example slice from a binarised volume and a surface rendering of a sample of a composite material image with X-ray microtomography are shown in Fig. 14 (top).
The project objective is to achieve a complete segmentation of individual fibres and pores in volume images of the material. Given such a segmentation, any measurement of the internal structure is available. Measurements on individual fibres and the structural arrangement of fibres can then be related to macroscopical material properties. A tracking method to segment fibres was recently developed and a result can be seen in Fig. 14 (bottom). Other methods for measuring properties of the material, that do not require a complete segmentation of the samples, are also investigated.
In this project, different volume images of paper and composite materials are available for the studies. This includes one volume created from a series of 2D scanning electron microscopy (SEM) images at StoraEnso in Falun and X-ray microtomography volume images of paper and composite samples imaged at the European Radiation Synchrotron Facility (ESRF) in Grenoble, France and at the Paul Scherrer Institut (PSI) in Villigen, Switzerland. Furthermore, methods for creating other sample volume images are investigated.
During 2008, the project has resulted in a number of publications. A licentiate thesis on binarisation and segmentation of e.g. X-ray microtomography images and fibre-fibre contact measurements was presented. A new method for estimating 3D fibre orientation in volume image data, which provides an estimate of the fibre orientation in each voxel, was presented at the International Conference on Pattern Recognition (ICPR). A volume rendering of a wood fibre composite is shown to the left in Fig. 15 and to the right, the estimated orientation in the material is shown using pseudo colour that correspond to the orientation vector. The porous structure of fibre based materials was also investigated during the year. A study of the pore structure of newsprints was published in Journal of Pulp and Paper Science in collaboration with Norwegian Pulp and Paper Research Institute (PFI), Trondheim, Norway. In a cooperation with University of Jyväskylä different image analysis methods to simulate intrusion and extrusion processes of Mercury Intrusion Porosimetry (MIP) in porous material were compared and presented at the Progress in Paper Physics Seminar.

Figure 14: (top) A slice from a binarised volume image of a composite material and a surface rendering of a sample of a composite material. (bottom) Tracking results obtained for an individual fibre.
Image binary Image karin8_4_ao2 Image tracking_result

Figure 15: (a) A volume image of a composite material. (b) The fibre orientation is estimated and visualized using pseudo colors.
Image karin8_ex4_orig Image karin8_ex4_orient

30. Log end feature extraction of untreated wood logs in saw mill environment.
Kristin Norell, Stina Svensson, Gunilla Borgefors
Partners: The Swedish Timber Measurement Council (VMR), Dept. of Forest Products and Markets, SLU
Funding: The Swedish Timber Measurement Council (VMR); S-faculty, SLU
Period: 0505 -
Abstract: The wood quality of a log can be determined, to some extent, by examining the log end. Such analysis is mostly performed manually at sawmills, where the log scaler has a couple of seconds to determine features like the approximate annual ring density, presence of rot and presence of compression wood as the log passes on a conveyor belt. By using computerized image analysis instead, the analysis can be more robust and used also when the log scaler is not present. In this project, methods to measure important properties of logs in sawmill environment using computerized image analysis is developed. Some interesting features are:
The images used are log end images of Norway spruce (Picea abies (L.) H.Karst) and Scots pine (Pinus sylvestris L.) taken in a sawmill environment. The logs are sawn with a regular harvester or chain saw and stored for various times before imaging. End faces are depicted in sawmill on-line production with an industrial colour camera.
During 2008, a journal article on pith detection was published in Computers and electronics in agriculture. Pith position is found using filters to detect local orientation, Hough transform, and a final adjustment technique. Once the pith is found some other measurements will be easy, and others will be facilitated.
The grey weighted polar distance transform (GWPDT) (see project number 3) together with the method for pith detection can be used to outline the annual rings on an end face. The method performs well for high quality end faces and work is now ongoing to handle also end faces with less visible rings.

31. Detection of rot in end faces of wood logs
Kristin Norell, Stina Svensson, Gunilla Borgefors
Partners: Kim Dralle, Anders Björholm Dahl, Dralle A/S, Copenhagen, Denmark
Funding: S-faculty, SLU; Stiftelsen Mauritz Carlgrens fond
Period: 0612 -
Abstract: The focus of this project is image analysis methods for identifying rot in log end faces. The purpose is to detect rot already while harvesting, or when the logs are in a stack waiting for transport. Logs are depicted using a standard color digital camera that can be mounted on a harvester or a vehicle. The goal is to find a robust method for detecting rot in timber suitable for practical use.

32. Quantification of the quality of wood fibres
Bettina Selig, Cris Luengo, Gunilla Borgefors
Partners: Dept. of Forest Products, SLU
Funding: S-faculty, SLU
Period: 0709-
Abstract: Wood fibre quality is important for many uses of this raw material. The quality can be tested by various microscopy methods. High lignification of the wood cells has effects on their mechanical properties which is especially important in paper production. Before these effects can be studied the degree of lignification has to be estimated. In auto flourescence light microscopy images of fibre cross-sections, the substance lignin is made visible, as it emit more light than other parts of the cell wall. The goal here is to develop an automatic method to detect and measure highly lignified areas and relate them to the area of the whole cell wall. The task is much complicated by the fact that edges are notoriously fuzzy in flourescence images, but the problem is now solved for single cells, see see Fig. 16. In a second part of the project, the damage of single fibres (breaks, cracks, distortions etc.) shall be characterized and classified. And in a third part the thickness of the middle lamella shall be estimated. For both problems polarized light microscopy images will be applied.

Figure 16: Final result for one wood cell. The segmented areas are lumen, normal lignified cell wall and highly lignified cell wall.
Image oneCell_result2


next up previous contents
Next: Remote sensing Up: Research Previous: 3D analysis and visualization   Contents