纸浆纤维交叉分离的一种新型算法  

A New Algorithm of Cross-Seperation for Pulp Fiber

作　　者：孟荣爱[1] 周长剑[2] 邱书波[1] 

机构地区：[1]山东轻工业学院电气工程与自动化学院,济南250353 [2]山东轻工业学院制浆造纸科学与技术省部共建教育部重点实验室,济南250353

出　　处：《纸和造纸》2011年第8期67-70,共4页Paper and Paper Making

摘　　要：纸浆纤维特征的有效测量将直接关系到成品纸的质量。为了准确测量纸浆纤维的长度,本文提出了一种基于数字图像处理的纸浆纤维交叉分离算法。该算法解决了在测量单根纤维长度等参数时无法对两根交叉纤维进行精确测量,产生严重误差的问题。通过Visual C++实现的交叉纤维分离的结果和大量数据,显示了这一方法的准确性和鲁棒性。The effective measurement of characters of pulp fiber is directly related to the quality of finished paper. To measure the length of pulp fiber correctly, this paper gives a new cross-seperation algorithm of pulp fiber based on digital image processing, which resolves the problem about a serious error in the measurement of single fiber length parameter not to measure two cross-fibers. Both the results of cross-fiber seperation and large amount of data by Visual C＋＋ show the accuracy and robustness of the algorithm.

关 键 词：纸浆纤维 交叉分离 VISUAL C++ 数字图像处理 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]