Classification of Cigarette Types Using Computer Vision: An Analysis of Smoke Aggregation Features

Classification of Cigarette Types Using Computer Vision: An Analysis of Smoke Aggregation Features

The aggregation of cigarette smoke is one of the key indicators when consumers taste cigarettes. The purpose of this study is to explore the characteristics of smoke images through computer vision technology, and distinguish different brands of cigarettes by using the aggregation characteristics of...

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Bibliographic Details
Main Authors: Shishuan Guan, Lei Jiao, Zengyu Wang, Xiaofei Ji, Hongwei Zheng, Cunfeng Yu, Hongtao Li, Liwen Zheng, Shuaishuai Sun, Qiang Sun, Jun Li, Guangwei Jiang, Kezhi Wu, Erge Lin, Xinlong Zhang
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Smoke aggregation
computer vision
residual CNN+LSTM
Swin-Transformer
attention mechanism
Online Access:https://ieeexplore.ieee.org/document/10771730/
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