Investigating Image Enhancement in Pseudo-Foreign Fiber Detection
作者单位：College of Information and Electrical EngineeringChina Agricultural University Computer Network CenterChina Agricultural University College of Mathematics and ComputerHebei University
会议名称：《Computer and Computing Technologies in Agriculture V——5th IFIP TC 5/SIG 5.1 Conference(CCTA 2011) Part Ⅲ》
会议日期：2012年
学科分类：0821[工学-纺织科学与工程] 08[工学] 082101[工学-纺织工程]
基 金：National Natural Science Foundation of China(30971693) Ministry of Education of People’s Republic of China(NCET09-0731)
关 键 词：Image enhancement Histogram Equalization Wavelet Based Normalization Homomorphic Filtering Single Scale Retinex Multiscale Retinex Variational Retinex
摘 要：The detection of pseudo-foreign fibers in cotton based on AVI(Automatic Visual Inspection) is crucial to improve the accuracy of statistics and classification of foreign *** meet the requirement of textile factories,a new platform is introduced in which cotton bulks are floating with relative high speed of six meters per second,and the throughput of detected lint could be above 20 kg per ***,images captured by the new platform are blurred and not clear enough for post processes such as segmentation,feature extraction,target identification and *** thickness of the moving cotton bulks are not uniform,a part of or the whole object of pseudoforeign fibers are *** image enhancement algorithms should be investigated and *** this paper the characteristics of the images acquired by the new platform are analyzed,and several image enhance algorithms are studied and compared on effectiveness and efficiency,which include Histogram Equalization,Wavelet Based Normalization,Homomorphic Filtering,Single Scale Retinex(SSR),Multiscale Retinex(MSR) and Variational *** indicated that the Variational Retinex has a better performance and should be implemented in on-line pseudo-foreign fibers detection.