Understanding the properties of paper fibers and paper fiber bonds can be really significant in improving the quality of paper. The problem in gathering measurement data from individual paper fibers is the lack of reliable and efficient research instruments. Also, without automation the yield of experiments will be low and the results will depend on the skills of the operator. This paper presents an image-based method to automatically detect the endpoints of paper fibers. The method will be utilized in automatic control of a novel and tailor-made paper fiber manipulation and measurement platform. Performance of the method is extremely promising with adequate speed and very accurate results.Peer reviewe
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An automatic computer vision algorithm that detects individual paper fibres from an image, assesses ...
The mechanical characterization of paper fibers and paper fiber bonds determines the key parameters ...
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This thesis discusses the optimization researchof on illumination design in of a microrobotic platfo...
The paper industry is at a turning point worldwide. The consumption of printed products is assumed t...
This paper presents a novel method for automated manipulation of individual paper fiber bonds using ...
Characterizing the structure of paper products made from Northern Bleached Softwood Kraft (NBSK) pul...
Recovered paper is the most important raw material for paper industry today and paper industry is on...
This paper introduces a microrobotic platform to manipulate and characterize individual paper fibers...
The Trashcam project developed a rapid, automated method used to evaluate the seed coat fragment (SC...
The wall thickness of pulp fibers plays a major role in the paper industry, but it is currently not ...
In order to determine whether the fibers obtained meet the processing requirements in the extraction...
This paper reports automated image-based pick and place procedures for manipulation of individual na...
This report presents a detailed description of a vision system whose purpose is to detect and to loc...
This paper is the second part of a series reporting the recent development of a computerized method ...
An automatic computer vision algorithm that detects individual paper fibres from an image, assesses ...
The mechanical characterization of paper fibers and paper fiber bonds determines the key parameters ...
In this thesis, semi-automatic image processing methods to analyse fibres in microscope images of pa...
This thesis discusses the optimization researchof on illumination design in of a microrobotic platfo...
The paper industry is at a turning point worldwide. The consumption of printed products is assumed t...
This paper presents a novel method for automated manipulation of individual paper fiber bonds using ...
Characterizing the structure of paper products made from Northern Bleached Softwood Kraft (NBSK) pul...
Recovered paper is the most important raw material for paper industry today and paper industry is on...
This paper introduces a microrobotic platform to manipulate and characterize individual paper fibers...
The Trashcam project developed a rapid, automated method used to evaluate the seed coat fragment (SC...
The wall thickness of pulp fibers plays a major role in the paper industry, but it is currently not ...
In order to determine whether the fibers obtained meet the processing requirements in the extraction...
This paper reports automated image-based pick and place procedures for manipulation of individual na...
This report presents a detailed description of a vision system whose purpose is to detect and to loc...
This paper is the second part of a series reporting the recent development of a computerized method ...