Feature extraction of jujube fruit wrinkle based on the watershed segmentation

作     者：Zhang Junxiong Ma Qingqing Li Wei Xiao Tingting 

作者机构：College of EngineeringChina Agricultural UniversityBeijing 100083China 

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：2017年第10卷第4期

页      面：165-172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：supported by National Key Research Program(2016YFD0701501) Beijing Higher Education Young Elite Teacher Project(YETP0318) 

主　　题：feature extraction watershed segmentation image processing jujube fruit wrinkle quality grading 

摘      要：The degree of surface wrinkles on a dried jujube fruit(Ziziphus jujuba Mill.)is an important quality grading *** aim of this research was to propose an image processing method based on the watershed segmentation to extract the wrinkle features of jujube *** images of jujube fruit taken under cyan light were transformed into grayscale *** noise in these images was then removed by morphological *** H-minima extended transformation was used to label the foreground of jujube fruit images after reconstruction,and the labeled foreground regions were segmented by a distance transform-based watershed ***,the grayscale images were filtered with a local range *** segmentation function was obtained using the minima imposition ***,a watershed segmentation was used to extract the wrinkle features of jujube *** on 304 images of jujube fruit showed that the accuracy of wrinkle-based grading obtained by the algorithm was 92.11%,which proved that this method could be used to classify jujube wrinkles.