1. CORESTA Meeting, Smoke Science/Product Technology, 2019, Hamburg, ST 21

    A model based on cigarette density segmentation method for predicting burning cone drop rate of slim cigarettes

    TAN Chao; WANG Shitai; JIN Yong; CHEN Qian; TAN Haifeng; LI Ke; FAN Hongmei; LIU Qi; LI Rui; YU Saibo
    China Tobacco Hunan Industrial Co., Ltd. of CNTC, Hunan, P.R. China
    Burning cone drop is a potential safety problem and quality defect for slim cigarettes. In order to conveniently monitor the burning cone drop rate, a model based on cigarette density segmentation method was established and used for predicting the...