Contour Detection for Fibre of Preserved Szechuan Pickle Based on Dilated Convolution
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...
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| Published in | Applied sciences Vol. 9; no. 13; p. 2684 |
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| Main Authors | , , , |
| Format | Journal Article |
| Language | English |
| Published |
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MDPI AG
01.07.2019
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| ISSN | 2076-3417 2076-3417 |
| DOI | 10.3390/app9132684 |
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| Abstract | 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. |
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| AbstractList | 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. [...]the Pixel Accuracy (PA) of our method [2] is 99.52% and the mean intersection over union (MIoU) [2] is 49.99%. Sobel [6] is a typical edge detection operator based on first derivative. Because it introduces a local average operation and has a smooth effect on noise and can eliminate the influence of noise very well. With the development of contour detection technology, it is no longer difficult to recognize the general contour. Because of the non-saliency of the contour, many technical means cannot achieve the expected results. According to the position of side-outputs, the structure of HED can be divided into five stages. |
| Author | Liu, Lizhuang Zhao, Dan Li, Hongyang Han, Zhenqi |
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| Snippet | Peeling fibre is an indispensable process in the production of preserved Szechuan pickle, the accuracy of which can significantly influence the quality of the... [...]the Pixel Accuracy (PA) of our method [2] is 99.52% and the mean intersection over union (MIoU) [2] is 49.99%. Sobel [6] is a typical edge detection... |
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| SubjectTerms | contour detection dilated convolutions fibre of preserved Szechuan pickle HED Methods Neural networks |
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| Title | Contour Detection for Fibre of Preserved Szechuan Pickle Based on Dilated Convolution |
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