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Recognition of Marrow Cell Images Based on Fuzzy Clustering

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Author(s): Xitao Zheng | Yongwei Zhang | Yehua Yu | Jing Zhang | Jun Shi

Journal: International Journal of Information Technology and Computer Science
ISSN 2074-9007

Volume: 4;
Issue: 1;
Start page: 40;
Date: 2012;
Original page

Keywords: C-mean Fuzzy clustering | mouse marrow | pattern recognition | cell counting

ABSTRACT
In order to explore the leukocyte distribution of human being to predict the recurrent leukemia, the mouse marrow cells are investigated to get the possible indication of the recurrence. This paper uses the C-mean fuzzy clustering recognition method to identify cells from sliced mouse marrow image. In our image processing, red cells, leukocytes, megakaryocyte, and cytoplasm can not be separated by their staining color, RGB combinations are used to classify the image into 8 sectors so that the searching area can be matched with these sectors. The gray value distribution and the texture patterns are used to construct membership function. Previous work on this project involves the recognition using pixel distribution and probability lays the background of data processing and preprocessing. Constraints based on size, pixel distribution, and grayscale pattern are used for the successful counting of individual cells. Tests show that this shape, pattern and color based method can reach satisfied counting under similar illumination condition.
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Tango Jona
Tangokurs Rapperswil-Jona