Study of Image Analysis Algorithms for Segmentation, Feature Extraction and Classification of Cells

Margarita Gamarra 1 2 * , Eduardo Zurek 2, Homero San-Juan 3

J INFORM SYSTEMS ENG, Volume 2, Issue 4, Article No: 20.

https://doi.org/10.20897/jisem.201720

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Abstract

Recent advances in microcopy and improvements in image processing algorithms have allowed the development of computer-assisted analytical approaches in cell identification. Several applications could be mentioned in this field: Cellular phenotype identification, disease detection and treatment, identifying virus entry in cells and virus classification; these applications could help to complement the opinion of medical experts. Although many surveys have been presented in medical image analysis, they focus mainly in tissues and organs and none of the surveys about image cells consider an analysis following the stages in the typical image processing: Segmentation, feature extraction and classification. The goal of this study is to provide comprehensive and critical analyses about the trends in each stage of cell image processing. In this paper, we present a literature survey about cell identification using different image processing techniques.

Keywords

microscope technology, segmentation, feature extraction, cell image, image processing

Citation

Gamarra, M., Zurek, E., and San-Juan, H. (2017). Study of Image Analysis Algorithms for Segmentation, Feature Extraction and Classification of Cells. Journal of Information Systems Engineering & Management, 2(4), 20. https://doi.org/10.20897/jisem.201720

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