Original images of colloidal gold immunochromatographic strip

Original images of colloidal gold immunochromatographic strip

Citation Author(s):
Wensheng
Guo
Hai
Yang
Submitted by:
Wensheng Guo
Last updated:
Sat, 11/16/2019 - 05:41
DOI:
10.21227/jvz7-r769
Data Format:
License:
Dataset Views:
44
Share / Embed Cite
Abstract: 

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 (CNN) algorithm both require presetting initial conditions (specifying initial parameters or training models) and take long running time, due to high calculation cost. Therefore neither is ideal for a point-of-care testing (POCT) device, which has low hardware cost and limited computing power. This paper designs a region growing algorithm combined with fast peak detection (RGFPD) to quickly and self-adaptively segment GICS images. Compared with FCM algorithm and CNN algorithm, the RGFPD algorithm has two obvious advantages. First, the region growing algorithm requires low calculation cost, which better suits the POCT device, because it is a local algorithm, rather than a global one. Second, the fast peak detection algorithm calculates the seed points and growing criterions as initial conditions, realizing self-adaptive segmentation of images. In this paper, RGFPD algorithm is applied to segment GICS images of actual samples, taking FCM algorithm and CNN algorithm as contrast. The results show that RGFPD accurately segment images without presetting initial conditions, with shorter algorithm running time, and performs better in anti-interference.

Instructions: 

The dataset contain some GICS images.

Dataset Files

You must be an IEEE Dataport Subscriber to access these files. Login or subscribe now. Sign up to be a Beta Tester and receive a coupon code for a free subscription to IEEE DataPort!

Embed this dataset on another website

Copy and paste the HTML code below to embed your dataset:

Share via email or social media

Click the buttons below:

facebooktwittermailshare
[1] Wensheng Guo, Hai Yang, "Original images of colloidal gold immunochromatographic strip", IEEE Dataport, 2019. [Online]. Available: http://dx.doi.org/10.21227/jvz7-r769. Accessed: Dec. 14, 2019.
@data{jvz7-r769-19,
doi = {10.21227/jvz7-r769},
url = {http://dx.doi.org/10.21227/jvz7-r769},
author = {Wensheng Guo; Hai Yang },
publisher = {IEEE Dataport},
title = {Original images of colloidal gold immunochromatographic strip},
year = {2019} }
TY - DATA
T1 - Original images of colloidal gold immunochromatographic strip
AU - Wensheng Guo; Hai Yang
PY - 2019
PB - IEEE Dataport
UR - 10.21227/jvz7-r769
ER -
Wensheng Guo, Hai Yang. (2019). Original images of colloidal gold immunochromatographic strip. IEEE Dataport. http://dx.doi.org/10.21227/jvz7-r769
Wensheng Guo, Hai Yang, 2019. Original images of colloidal gold immunochromatographic strip. Available at: http://dx.doi.org/10.21227/jvz7-r769.
Wensheng Guo, Hai Yang. (2019). "Original images of colloidal gold immunochromatographic strip." Web.
1. Wensheng Guo, Hai Yang. Original images of colloidal gold immunochromatographic strip [Internet]. IEEE Dataport; 2019. Available from : http://dx.doi.org/10.21227/jvz7-r769
Wensheng Guo, Hai Yang. "Original images of colloidal gold immunochromatographic strip." doi: 10.21227/jvz7-r769