Research on adaptive segmentation and activity classification method of filamentous fungi image in microbe fermentation

Xiaochun Cai; Yihua Hu

doi:10.1117/12.834087

30 October 2009 Research on adaptive segmentation and activity classification method of filamentous fungi image in microbe fermentation

Xiaochun Cai, Yihua Hu

Author Affiliations +

Proceedings Volume 7495, MIPPR 2009: Automatic Target Recognition and Image Analysis; 74953H (2009) https://doi.org/10.1117/12.834087
Event: Sixth International Symposium on Multispectral Image Processing and Pattern Recognition, 2009, Yichang, China

Abstract

The paper presents an adaptive segmentation and activity classification method for filamentous fungi image. Firstly, an adaptive structuring element (SE) construction algorithm is proposed for image background suppression. Based on watershed transform method, the color labeled segmentation of fungi image is taken. Secondly, the fungi elements feature space is described and the feature set for fungi hyphae activity classification is extracted. The growth rate evaluation of fungi hyphae is achieved by using SVM classifier. Some experimental results demonstrate that the proposed method is effective for filamentous fungi image processing.

Citation Download Citation

Xiaochun Cai and Yihua Hu "Research on adaptive segmentation and activity classification method of filamentous fungi image in microbe fermentation", Proc. SPIE 7495, MIPPR 2009: Automatic Target Recognition and Image Analysis, 74953H (30 October 2009); https://doi.org/10.1117/12.834087

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