Tobacco shred varieties classification using Multi-Scale-X-ResNet network and machine vision.

ABSTRACT: The primary task in calculating the tobacco shred blending ratio is identifying the four tobacco shred types: expanded tobacco silk, cut stem, tobacco silk, and reconstituted tobacco shred. The classification precision directly affects the subsequent determination of tobacco shred components. However, the tobacco shred types, especially expanded tobacco silk and tobacco silk, have no apparent differences in macro-scale characteristics. The tobacco shreds have small size and irregular shape characteristics, creating significant challenges in their recognition and classification based on machine vision. This study provides a complete set of solutions aimed at this problem for screening tobacco shred samples, taking images, image preprocessing, establishing datasets, and identifying types. A

SUBMITTER: Niu Q 

PROVIDER: S-EPMC9433752 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature