| Autor: |
Xu-Dong Li, Dong Wei, Jie-Sheng Wang, Qing-Sheng Guo, Lin Chen |
| Předmět: |
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| Zdroj: |
IAENG International Journal of Computer Science; Jun2021, Vol. 48 Issue 2, p356-363, 8p |
| Abstrakt: |
Colony Image Edge Detection Algorithm Based on FCM and RBI-FCM Clustering Methods Traditional colony image research requires human visual observation and statistics, which results in the lower work efficiency and higher work intensity. Edge detection of colony image is an important basis of the study of colony images, but the traditional edge detection operators cannot meet the precision requirements of the detection results. In this paper, a colony image edge detection algorithm based on fuzzy c-means (FCM) clustering method and robust FCM integrating between-cluster information (RBI-FCM) clustering method was proposed to segment three typical colony images (mould, actinomycetes and bacteria). The edge detection results are compared with the classical image edge detector operators, such as Roberts operator, Prewitt operator, Sobel operator, LOG operator and Canny operator. Simulation results have verified the effectiveness of the adopted FCM and RBI-FCM clustering methods. [ABSTRACT FROM AUTHOR] |
| Databáze: |
Supplemental Index |
| Externí odkaz: |
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