Region Growing Algorithm Combined With Fast Peak Detection for Segmenting Colloidal Gold Immunochromatographic Strip Images

Accurate segmentation of test line and control line for colloidal gold immunochromatographic strip (GICS) images with image processing algorithms is essential to quantitative analysis of GICS. As common methods for GICS image segmentation, fuzzy c-means (FCM) algorithm and cellular neural network (C...

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Hauptverfasser:	Wensheng Guo, Yue Zhang, Xiaoyan Hu, Ting Zhang, Ming Liang, Xiangliang Yang, Hai Yang
Format:	Artigo
Sprache:	Inglês
Veröffentlicht:	IEEE 2019-01-01
Schriftenreihe:	IEEE Access
Schlagworte:	Colloidal gold immunochromatographic strip image segmentation peak detection region growing point-of-care testing
Online-Zugang:	https://ieeexplore.ieee.org/document/8911316/
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