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Proceedings Paper

Research on adaptive segmentation and activity classification method of filamentous fungi image in microbe fermentation
Author(s): Xiaochun Cai; Yihua Hu
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Paper 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.

Paper Details

Date Published: 30 October 2009
PDF: 5 pages
Proc. SPIE 7495, MIPPR 2009: Automatic Target Recognition and Image Analysis, 74953H (30 October 2009); doi: 10.1117/12.834087
Show Author Affiliations
Xiaochun Cai, Electronic Engineering Institute (China)
Yihua Hu, Electronic Engineering Institute (China)


Published in SPIE Proceedings Vol. 7495:
MIPPR 2009: Automatic Target Recognition and Image Analysis

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