@inproceedings{6920af4dd2b74019921a2c86b089a5c6,
title = "Research on adaptive segmentation and activity classification method of filamentous fungi image in microbe fermentation",
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.",
keywords = "Feature extraction, Filamentous fungi, Growth rate evaluation, Image segmentation, Structuring element",
author = "Xiaochun Cai and Yihua Hu and Peng Wang and Dujuan Sun and Guilan Hu",
year = "2009",
doi = "10.1117/12.834087",
language = "English",
isbn = "9780819478061",
series = "Proceedings of SPIE - The International Society for Optical Engineering",
booktitle = "MIPPR 2009 - Automatic Target Recognition and Image Analysis",
note = "MIPPR 2009 - Automatic Target Recognition and Image Analysis: 6th International Symposium on Multispectral Image Processing and Pattern Recognition ; Conference date: 30-10-2009 Through 01-11-2009",
}