Radon transform-based motion blurred silkworm pupa image restoration

作     者：Dan Tao Zhengrong Wang Guanglin Li Guangying Qiu 

作者机构：College of Engineering and TechnologySouthwest UniversityChongqing 400715China 

出 版 物：《International Journal of Agricultural and Biological Engineering》 (国际农业与生物工程学报（英文）)

年 卷 期：2019年第12卷第2期

页      面：152-159页

核心收录：

学科分类：0710[理学-生物学] 0810[工学-信息与通信工程] 08[工学] 0805[工学-材料科学与工程（可授工学、理学学位）] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

基　　金：The research was financially supported by Chongqing Science and Technology Commission Projects under Grant No.cstc2013yykfA80015 and Grant No.cstc2017shms-xdny80080 Fundamental Research Funds for the Central Universities under Grant No.XDJK2016A007,XDJK2018D011 Doctoral Scientific Research Foundation of Southwest University Project Grant No.SWU114109 

主　　题：silkworm pupa image restoration radon transform machine vision motion blur deblurring 

摘      要：As for machine vision-based intelligent system in the application of discriminating and sorting the sex of silkworm pupae,the tail gonad was the unique physiological ***,motion blur,resulting from the live silkworm pupa’s writhing motion at the moment of capturing image,could lose textures and structures(such as edge and tail gonad etc.)dramatically,which casted great challenges for sex *** increase the image quality and relieve the difficulty of discrimination caused by motion blur,an effective approach that including three stages was proposed in this *** the image prediction stage,first sharp edges were acquired by using filtering *** the initial blur kernel was computed with Gaussian *** coarse version latent image was deconvoluted in the Fourier *** the kernel refinement stage,the Radon transform was applied to estimate the accurate *** the final restoration step,a TV-L1 deconvolution model was carried out to obtain a better *** experimental results showed that benefiting from the prediction step and kernel refinement step,the kernel was more accurate and the recovered image contained much more *** revealed that the proposed method was useful in removing the motion ***,the method could also be applied to other fields.