학술논문
Ingredient segmentation with transparency
Document Type
Conference
Source
2023 IEEE/SICE International Symposium on System Integration (SII) Symposium on System Integration (SII), 2023 IEEE/SICE International. :1-5 Jan, 2023
Subject
Language
ISSN
2474-2325
Abstract
In the food industry, the demand for the extraction of food ingredients from images is increasing for quality control and appearance evaluation of products in the manufacturing field. Therefore, recognition of food ingredients distribution using deep learning has been proposed. However, this method still has a problem of misrecognizing transparent ingredients as other ingredients. To solve this problem, we propose a method for generating training data that includes the transparency of food ingredients in order to improve the accuracy of food ingredient identification.