The measurement of dirt count using a scanner-based image analysis system

被引:0
|
作者
Faltas, R
Papadopoulos, P
Vanderhoek, N
Reich, M
机构
[1] Amcor Res & Technol, Fine Papers, Fairfield, Vic 3078, Australia
[2] Royal Melbourne Inst Technol, Dept Appl Phys, Melbourne, Vic, Australia
来源
APPITA JOURNAL | 2000年 / 53卷 / 06期
关键词
Dirt Count; image analysis; equivalent black area; grey level threshold;
D O I
暂无
中图分类号
TB3 [工程材料学]; TS [轻工业、手工业、生活服务业];
学科分类号
0805 ; 080502 ; 0822 ;
摘要
The existing TAPPI standard methods for measuring dirt in pulp (T213) and in paper and paper board (T437) have proven to be tedious, impractical and unreliable due to their subjectivity. The need for more stringent quality control of pulp cleanliness in the fine paper sector, coupled with the ever-increasing use of recycled fibre, has forced the Australian paper industry to look for a more reliable and faster method for measuring dirt. The use of image analysis for off-line testing has often been suggested to improve objectivity and to substantially increase the speed of measurement. Against this background, an in-house software system utilising the latest scanner-based image analysis technology was developed at Amcor Research and Technology (ART), in:conjunction with Royal Melbourne Institute of Technology to measure dirt count in samples of pulp and paper. A modified version of the provisional TAPPI dirt count method (T563) was used as the basis of the algorithm developed for this application. The method has proven to be quick, reliable:and repeatable for measuring dirt in laboratory, research and mill applications. This paper outlines difficulties with existing systems, the refinement of these methods and some case studies based on typical applications for dirt count.
引用
收藏
页码:476 / 482
页数:7
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