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

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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Bibliographic Details
Main Authors: Wensheng Guo, Yue Zhang, Xiaoyan Hu, Ting Zhang, Ming Liang, Xiangliang Yang, Hai Yang
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Colloidal gold immunochromatographic strip
image segmentation
peak detection
region growing
point-of-care testing
Online Access:https://ieeexplore.ieee.org/document/8911316/

Internet

https://ieeexplore.ieee.org/document/8911316/

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