Computer Science ›› 2023, Vol. 50 ›› Issue (11A): 230200150-6.doi: 10.11896/jsjkx.230200150
• Image Processing & Multimedia Technology • Previous Articles Next Articles
ZOU Chenwei, YAO Rao
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[1]LIU H,CHEN Z L,ZHANG L.A machine learning-basedmethod for detecting and classifying tool surface defects[J].Computer Measurement and Control,2021,29(6):64-68. [2]WANG S.Solder defect detection method based on machine vision and deep learning [D].Guangdong:Guangdong University of Technology,2022. [3]ZHANG M.Research on LED surface defect detection technology based on machine learning [D].Hefei:Hefei University of Technology,2021. [4]ZHANG X L,LI J H,LI J X,et al.Hybrid optimized RBF-BP network for plate shape defect identification[J].Fuzzy Systems and Mathematics,2020,34(1):149-156. [5]LIU E D.Pipeline defect identification based on BP neural network [J].Electronic Technology and Software Engineering,2017(2):11-12. [6]ZHU L Z,CHENM Y.A research on a machine learning based automotive glue coating defect detection[J].Journal of Shenyang University of Technology,2018,37(4):18-22. [7]MCNAB A,CAMPBELL M J.Ultrasonic phased arrays for nondestructive testing[J].NDT International,1987,20(6):333-337. [8]THRANE L,YURA H T,ANDERSEN P E.Analysis of optical coherence tomography systems based on the extended Huygens--Fresnel principle[J].JOSA A,2000,17(3):484-490. [9]LIU Z Y.Application of partial differential equations in image denoising [D].Changchun:Jilin University,2018. [10]FANG Z,HU X H,CHEN Y.Anisotropic diffusion filtering al- gorithm based on multi-directional median filtering[J].Compu-ter Engineering and Applications,2017,53(4):195-199. [11]FU L J,YAO Y,FU Z L.A medical image filtering method combining median filtering and anisotropic diffusion[J].Computer Applications,2014,34(1):145-148. [12]WAN S,LI L M,HUANG Y Q.An image denoising model incorporating partial differential equations and median filtering[J].Computer Applications,2011,31(9):2512-2514. [13]CHEN T,ZHANG Q G,LIU A.Implementation of SVM classification for graphical texture detection and welding defects based on grayscale co-occurrence matrix[J].Journal of Luoyang Institute of Technology (Natural Science Edition),2022,32(1):53-61,67. [14]LIU G Y,HUANG Y,CAO Y,et al.Research on image texture feature extraction based on grayscale co-occurrence matrix[J].Science and Technology Wind,2021(12):61-64. [15]MOU H B,WANG S W,QI D W,et al.Wood defect recognition based on grayscale covariance matrix and fuzzy BP neural network[J].Forest Engineering,2017,33(4):40-43,54. [16]YANG C X,ZHANG J,TAO Z Y,et al.Metal surface defects classification based on PSO improved BP neural network algorithm[J].Manufacturing Automation,2018,40(7):5-7. [17]LIY X.Research on potato external defects detection method based on PSO-BP neural network [D].Jinan:Shandong University of Technology,2021. [18]DAS H,JENA A K,NAYAK J,et al.A novel PSO based back propagation learning-MLP (PSO-BP-MLP) for classification[M]//Computational intelligence in data mining-volume 2.Springer,New Delhi,2015:461-471. [19]SANG J G.Research on pump fault diagnosis based on pso-bp neural network algorithm[C]//2019 IEEE 8th Joint International Information Technology and Artificial Intelligence Conference(ITAIC).IEEE,2019. |
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