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Experimental Application of Multi-threshold Color Image Segmentation Algorithm in Smart Classroom

Tiantian Wang, Zhicheng Ding

Abstract


At this stage of technology application and innovation development process, image processing technology has gradually
become the basis of artificial intelligence technology application. Especially in the effective application of multi-threshold color image
segmentation algorithm, it can be analyzed and integrated from many different dimensions, which can really help to build a smart classroom. Based on this, this paper is from the multi-threshold color image segmentation algorithm, multi-threshold color image
segmentation algorithm in the intelligent classroom application method analysis, two perspectives to carry out more in-depth research and
analysis, in order to drive China's relevant education and comprehensive quality ability to improve the overall.

Keywords


Multi-threshold; Color image; Segmentation algorithm; Smart classroom

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References


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[2] Min Li. Research on Multi-threshold Image Segmentation Algorithm based on Swarm Intelligence Optimization[D]. Hubei University of Technology,2021.

[3] Heming Jia, Zichao Jiang, Xiaoxu Peng. Multi-threshold Color Image Segmentation based on Improved Hyena Optimization Algorithm[J]. Computer Applications and Software, 2020,37(05):261-267.

[4] Jun Ma, Heming Jia. Multi-threshold Color Image Segmentation based on Chaotic Electromagnetic Field Optimization Algorithm[J]. Computer Applications and Software, 2020,37(03):244-250.

[5] Jun Ma, Heming Jia. Multi-threshold Color Image Segmentation based on Improved Mothballing Algorithm[J]. Computer Applications and Software, 2020,37(01):223-229+261.




DOI: http://dx.doi.org/10.18686/ahe.v7i21.9546

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