Research on blood type card image automatic recognition algorithm

Meijiao Wang; Xiaoqiang Ji

doi:10.1117/12.2604630

5 October 2021 Research on blood type card image automatic recognition algorithm

Meijiao Wang, Xiaoqiang Ji

Proceedings Volume 11911, 2nd International Conference on Computer Vision, Image, and Deep Learning; 1191124 (2021) https://doi.org/10.1117/12.2604630
Event: 2nd International Conference on Computer Vision, Image and Deep Learning, 2021, Liuzhou, China

Abstract

ABO blood type automatic recognition can realize the automatic detection of blood type, effectively improve the speed and accuracy of blood type analysis, and has a wide range of clinical applications. In this paper, an automatic blood type recognition algorithm based on image processing is designed. Firstly, the image of blood type card is preprocessed, including image enhancement and median filtering. Then, the micro column tubules are segmented by template matching. Then, the threshold analysis is carried out, and the gray image is transformed into a binary image. Finally, the distribution of red blood cell aggregates in micro column tubules is identified, and determine the ABO blood type of the sample. The experimental results show that the algorithm can effectively segment the micro column tubules on the blood type card, realize the effective recognition of red blood cell distribution, and complete the effective interpretation of blood group.

Citation Download Citation

Meijiao Wang and Xiaoqiang Ji "Research on blood type card image automatic recognition algorithm", Proc. SPIE 11911, 2nd International Conference on Computer Vision, Image, and Deep Learning, 1191124 (5 October 2021); https://doi.org/10.1117/12.2604630

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