Research for Skeleton Tree Matching of Microscopic Image of Diatom Cells

Authors

Xiaoyan Qiao, College of Mathematic and Information Science, Shandong Institute of Business and Technology, Yantai 264005, China;

Abstract

Abstract: The image analysis technology based on morphological differences has become an important method of algae recognition in recent years. A skeleton similarity matching method was proposed to recognize microscopic images of diatom cells. The gray surface vector model of image was established to make segmentation by keeping obscure seta; The skeleton was used to represent the Chaetoceros, and it was decomposed hierarchically by competition strategy. The Chaetoceros object was represented by skeleton tree by forming the rachis elements and branches into it. The similarity mode for microscopic images of Chaetoceros was established by defining the topological and geometric difference. Experimental results show that this algorithm can achieve the better recognition of several kinds of Chaetoceros.

Recommended Citation

Qiao, Xiaoyan (2020) "Research for Skeleton Tree Matching of Microscopic Image of Diatom Cells," Journal of System Simulation: Vol. 27: Iss. 10, Article 28.
Available at: https://dc-china-simulation.researchcommons.org/journal/vol27/iss10/28

First Page

2416

Revised Date

2015-07-24

DOI Link

https://doi.org/

Last Page

2421

CLC

TP391.9

Recommended Citation

Qiao Xiaoyan. Research for Skeleton Tree Matching of Microscopic Image of Diatom Cells[J]. Journal of System Simulation, 2015, 27(10): 2416-2421.