华才健,苏真伟,乔丽,史晋芳.基于线激光的棉花中白色异性纤维检测[J].农业机械学报,2012,43(2):181-185.
Hua Caijian,Su Zhenwei,Qiao Li,Shi Jinfang.White Foreign Fibers Detection in Cotton Using Line Laser[J].Transactions of the Chinese Society for Agricultural Machinery,2012,43(2):181-185.
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基于线激光的棉花中白色异性纤维检测   [下载全文]
White Foreign Fibers Detection in Cotton Using Line Laser   [Download Pdf][in English]
  
DOI:10.6041/j.issn.1000-1298.2012.02.035
中文关键词:  棉花  白色异性纤维  线激光  机器视觉
基金项目:国家自然科学基金资助项目(60875022)
作者单位
华才健 四川大学
四川理工学院 
苏真伟 四川大学 
乔丽 四川大学 
史晋芳 四川大学 
中文摘要:针对棉花中白色异性纤维检测,分析了棉纤维与异性纤维不同的反光特性,在此基础上提出了一种基于线激光的检测方法。实验结果表明,在线激光照射下,棉花与白色异性纤维图像的灰度直方图呈双峰特性,显著提高了白色异性纤维与棉花背景之间的对比度,简单的图像二值化分割算法就能有效检测出大部分白色异性纤维,对6种典型实验白色异性纤维的平均检出率为92.08%。
Hua Caijian  Su Zhenwei  Qiao Li  Shi Jinfang
Sichuan University;Sichuan University of Science and Engineering;Sichuan University;Sichuan University;Sichuan University
Key Words:Cotton, White foreign fibers, Line laser, Machine vision
Abstract:To solve the problem of detecting white foreign fibers in cotton, the optical characteristics of cotton and foreign fibers were analyzed, and then a detecting method based on a line-construction laser for illumination was set up. The experimental results indicated that the histograms of the gray images of cotton and white foreign fibers were of dual-peak distributions, and the contrast between white foreign fibers and cotton was remarkably enhanced by the detecting method. Thus, a simple threshold segmentation algorithm was effectively used for detection of the white foreign fibers in cotton. The results indicated that the mean detectable rate of six typical foreign fibers reached to 92.08%.

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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