刘锋,苏真伟,乔丽.基于线激光截面成像的棉花白色异性纤维检测方法[J].农业机械学报,2013,44(3):215-218,256.
Liu Feng,Su Zhenwei,Qiao Li.Linear Laser Detecting Method of White Foreign Fibers in Cotton Based on Sample Cross-section Imaging[J].Transactions of the Chinese Society for Agricultural Machinery,2013,44(3):215-218,256.
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基于线激光截面成像的棉花白色异性纤维检测方法   [下载全文]
Linear Laser Detecting Method of White Foreign Fibers in Cotton Based on Sample Cross-section Imaging   [Download Pdf][in English]
  
DOI:10.6041/j.issn.1000-1298.2013.03.039
中文关键词:  棉花  白色异性纤维  机器视觉  线激光
基金项目:国家自然科学基金资助项目(60875022)
作者单位
刘锋 四川大学 
苏真伟 四川大学 
乔丽 四川大学 
中文摘要:针对棉层表面散布绒毛或游离的纤维细丝,而异性纤维表面光洁无毛的特点,提出了一种基于线激光的样本截面图像获取方法,获取并显示了其微观结构在激光照射下的图像差异。在此基础上,根据激光照射下二者周围有无高亮度的星点,以及星点的分布特征,提出了一种棉花中白色异性纤维的识别算法。实验结果表明,该方法对棉花中典型白色异性纤维的识别率达到了86.9%。
Liu Feng  Su Zhenwei  Qiao Li
Sichuan University;Sichuan University;Sichuan University
Key Words:Cotton  White foreign fiber  Machine vision  Linear lase
Abstract:Machine vision inspection of white foreign fibers in cotton is a research hotspot in China and aboard. Based on the fact that there are flosses and free filaments on the surface of a cotton layer,and most of the white foreign fiber surfaces are smooth, without any floss, an image acquisition method of the cross-section of the samples under the illumination of linear laser was proposed, which showed the differences of the microstructure characteristic of their surface from the reflection and transmission of the linear laser. Then, according to the features of the distribution and density of the flosses around the white spots in the images, an algorithm for identification of cotton and white foreign fibers was suggested. The experimental results indicated that, by the new method, the detecting rate of the white foreign fibers in cotton was up to 86.9%.

Transactions of the Chinese Society for Agriculture Machinery (CSAM), in charged of China Association for Science and Technology (CAST), sponsored by CSAM and Chinese Academy of Agricultural Mechanization Science(CAAMS), started publication in 1957. It is the earliest interdisciplinary journal in Chinese which combines agricultural and engineering. It always closely grasps the development direction of agriculture engineering disciplines and the published papers represent the highest academic level of agriculture engineering in China. Currently, nearly 8,000 papers have been already published. There are around 3,000 papers contributed to the journal each year, but only around 600 of them will be accepted. Transactions of CSAM focuses on a wide range of agricultural machinery, irrigation, electronics, robotics, agro-products engineering, biological energy, agricultural structures and environment and more. Subjects in Transactions of the CSAM have been embodied by many internationally well-known index systems, such as: EI Compendex, CA, CSA, etc.

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