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Omkonstruktion av mätramStenström, Daniel January 2008 (has links)
The main point in this diploma work lies to a beginning on analysis of the existing model of WoodEye scanner. The analysis aims to forming a view and understanding of how the scanner is designed and how it functions, and certain conditions around the scanner. On the basis of the result from the analysis and obvious criteria, has a number concept proposals been put forward. The concept proposals has then been evaluated and been compared with current concept, obvious criteria and compared to each other. The best proposal has then been developed far to a completed concept.
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Omkonstruktion av mätramStenström, Daniel January 2008 (has links)
<p>The main point in this diploma work lies to a beginning on analysis of the existing</p><p>model of WoodEye scanner. The analysis aims to forming a view and understanding of</p><p>how the scanner is designed and how it functions, and certain conditions around the</p><p>scanner. On the basis of the result from the analysis and obvious criteria, has a number</p><p>concept proposals been put forward. The concept proposals has then been evaluated and</p><p>been compared with current concept, obvious criteria and compared to each other. The</p><p>best proposal has then been developed far to a completed concept.</p>
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Analys av sprickdetektion vid automatisk avsyning av granvirke : med avseende på sprickors bredd, längd och djup / Analysis of crack detection by automatic visual scanning of sawn spruce timber : with regard to width, length and depth of cracksAndreasson, Robert, Jansson, Pontus January 2008 (has links)
Examensarbetet syftar till att hitta samband mellan ytliga sprickor hos virke, i form av dimensioner och karaktärer, som dagens maskinella avsyningssystem inte klarar av. Tyngdpunkten i projektet har legat på att identifiera eventuella samband mellan verkligt djup hos sprickor och de ytliga sprickmått som kan uppmätas med automatisk avsyning av WoodEye. I huvudsak har projektets praktiska undersökningar gått ut på att bestämma sprickors ytliga dimensioner, djup, typ och position med hjälp av automatisk avsyningsutrustning (WoodEye) samt genom manuell uppmätning i ett antal itusågade sprickzoner. Det provmaterial som använts i utförda försök och som legat till grund för efterföljande sprickanalyser har varit av sådan karaktär att det kunnat jämställas med konstruktionsvirke som normalt sett hållfasthetssorteras enligt europasstandard SS-EN 14081-1. I projektet har 568 sprickor, fördelade över 8 olika spricktyper, analyserats. Av erhållna resultat har det konstaterats att störst respektive minst medelbredd uppvisades hos kådlåpor respektive kantsprickor, störst respektive minst medellängd uppvisades hos splintsidesprickor respektive kådlåpor, samt att störst medeldjup uppvisades hos fäll-, kap- och stormsprickor. Vid analys av sprickors bredd och längd i relation till dess djup har inga entydiga samband kunnat påvisas. / This degree project aims to examine any connections between superficial cracks in timber, in terms of dimensions and characteristics, a matter insufficiently addressed by today's visual grading systems. The projects emphasis lies within the practical studies of cracks, characteristics and dimensions, within the acquired samples. In essence, the survey set out to determine superficial dimensions, depth, type and position of cracks by using a visual grading system (WoodEye), and by comparing the results by manually measuring a number of crosscutted cracks. The material used in the experiments and which formed the basis for subsequent analysis has been of such a nature that it could be equated with structural timber normally defined under the European Standard EN 14081-1. The project has encompassed the analysis of 568 examples of cracks consisting of 8 various types of cracks. By obtained results it has established that the greatest and smallest width is shown in resin pockets, respective side cracks, the greatest and least average height shown in sapwood cracks, respective resin pockets, and that the greatest average depth shown in cracks occurred from felling or hurricanes. From analysis of the cracks breadth and height in relation to depth no clear connection can be established.
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Analys av sprickdetektion vid automatisk avsyning av granvirke : med avseende på sprickors bredd, längd och djup / Analysis of crack detection by automatic visual scanning of sawn spruce timber : with regard to width, length and depth of cracksAndreasson, Robert, Jansson, Pontus January 2008 (has links)
<p>Examensarbetet syftar till att hitta samband mellan ytliga sprickor hos virke, i form av dimensioner och karaktärer, som dagens maskinella avsyningssystem inte klarar av. Tyngdpunkten i projektet har legat på att identifiera eventuella samband mellan verkligt djup hos sprickor och de ytliga sprickmått som kan uppmätas med automatisk avsyning av WoodEye. I huvudsak har projektets praktiska undersökningar gått ut på att bestämma sprickors ytliga dimensioner, djup, typ och position med hjälp av automatisk avsyningsutrustning (WoodEye) samt genom manuell uppmätning i ett antal itusågade sprickzoner. Det provmaterial som använts i utförda försök och som legat till grund för efterföljande sprickanalyser har varit av sådan karaktär att det kunnat jämställas med konstruktionsvirke som normalt sett hållfasthetssorteras enligt europasstandard SS-EN 14081-1.</p><p>I projektet har 568 sprickor, fördelade över 8 olika spricktyper, analyserats. Av erhållna resultat har det konstaterats att störst respektive minst medelbredd uppvisades hos kådlåpor respektive kantsprickor, störst respektive minst medellängd uppvisades hos splintsidesprickor respektive kådlåpor, samt att störst medeldjup uppvisades hos fäll-, kap- och stormsprickor. Vid analys av sprickors bredd och längd i relation till dess djup har inga entydiga samband kunnat påvisas.</p> / <p>This degree project aims to examine any connections between superficial cracks in timber, in terms of dimensions and characteristics, a matter insufficiently addressed by today's visual grading systems. The projects emphasis lies within the practical studies of cracks, characteristics and dimensions, within the acquired samples. In essence, the survey set out to determine superficial dimensions, depth, type and position of cracks by using a visual grading system (WoodEye), and by comparing the results by manually measuring a number of crosscutted cracks. The material used in the experiments and which formed the basis for subsequent analysis has been of such a nature that it could be equated with structural timber normally defined under the European Standard EN 14081-1.</p><p>The project has encompassed the analysis of 568 examples of cracks consisting of 8 various types of cracks. By obtained results it has established that the greatest and smallest width is shown in resin pockets, respective side cracks, the greatest and least average height shown in sapwood cracks, respective resin pockets, and that the greatest average depth shown in cracks occurred from felling or hurricanes. From analysis of the cracks breadth and height in relation to depth no clear connection can be established.</p>
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Detection of annual rings in woodJonsson, Christian January 2008 (has links)
<p>This report describes an annual line detection algorithm for the WoodEye quality control system. The goal with the algorithm is to find the positions of annual lines on the four surfaces of a board. The purpose is to use this result to find the inner annual ring structure of the board. The work was done using image processing techniques to analyze images collected with WoodEye. The report gives the reader an insight in the requirements of quality control systems in the woodworking industry and the benefits of automated quality control versus manual inspection. The appearance and formation of annual lines are explained on a detailed level to provide insight on how the problem should be approached. A comparison between annual rings and fingerprints are made to see if ideas from this area of pattern recognition can be adapted to annual line detection. This comparison together with a study of existing methods led to the implementation of a fingerprint enhancement method. This method became a central part of the annual line detection algorithm. The annual line detection algorithm consists of two main steps; enhancing the edges of the annual rings, and tracking along the edges to form lines. Different solutions for components of the algorithm were tested to compare performance. The final algorithm was tested with different input images to find if the annual line detection algorithm works best with images from a grayscale or an RGB camera.</p>
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Detection of annual rings in woodJonsson, Christian January 2008 (has links)
This report describes an annual line detection algorithm for the WoodEye quality control system. The goal with the algorithm is to find the positions of annual lines on the four surfaces of a board. The purpose is to use this result to find the inner annual ring structure of the board. The work was done using image processing techniques to analyze images collected with WoodEye. The report gives the reader an insight in the requirements of quality control systems in the woodworking industry and the benefits of automated quality control versus manual inspection. The appearance and formation of annual lines are explained on a detailed level to provide insight on how the problem should be approached. A comparison between annual rings and fingerprints are made to see if ideas from this area of pattern recognition can be adapted to annual line detection. This comparison together with a study of existing methods led to the implementation of a fingerprint enhancement method. This method became a central part of the annual line detection algorithm. The annual line detection algorithm consists of two main steps; enhancing the edges of the annual rings, and tracking along the edges to form lines. Different solutions for components of the algorithm were tested to compare performance. The final algorithm was tested with different input images to find if the annual line detection algorithm works best with images from a grayscale or an RGB camera.
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