Contour Detection for Fibre of Preserved Szechuan Pickle Based on Dilated Convolution

• Published in: Applied sciences Vol. 9; no. 13; p. 2684
• Main Authors: Li, Hongyang, Liu, Lizhuang, Han, Zhenqi, Zhao, Dan
• Format: Journal Article
• Language: English
• Published: Basel MDPI AG 01.07.2019
• Subjects: contour detection; dilated convolutions; fibre of preserved Szechuan pickle; HED; Methods; Neural networks
• ISSN: 2076-3417; 2076-3417
• DOI: 10.3390/app9132684

Peeling fibre is an indispensable process in the production of preserved Szechuan pickle, the accuracy of which can significantly influence the quality of the products, and thus the contour method of fibre detection, as a core algorithm of the automatic peeling device, is studied. The fibre contour is a kind of non-salient contour, characterized by big intra-class differences and small inter-class differences, meaning that the feature of the contour is not discriminative. The method called dilated-holistically-nested edge detection (Dilated-HED) is proposed to detect the fibre contour, which is built based on the HED network and dilated convolution. The experimental results for our dataset show that the Pixel Accuracy (PA) is 99.52% and the Mean Intersection over Union (MIoU) is 49.99%, achieving state-of-the-art performance.