Paper Info
Title
Recognition of Blood Cell Images Based on Color Fuzzy Clustering.
Abstract
A recognition method for the blood cell images was proposed. Since red cells, leukocytes, platelets, and cytoplasm had different color in the blood cell image, they were extracted according to their own colors. First, the color areas of red cells, leukocytes, platelets and cytoplasm were determined, respectively. Second, pixels were distributed into each color area by using the fuzzy clustering algorithm. The proposed method was implemented by Java program. Five blood cell images were used in the test. The leukocytes, platelets, and red cells were detected accurately in all five images. Results demonstrated the effectiveness of the proposed method.
Year
DOI
Venue
2009
10.1007/978-3-642-03664-4_8
FUZZY INFORMATION AND ENGINEERING, VOLUME 2
Keywords
Field
DocType
Fuzzy clustering,color,recognition,blood cell images
Computer vision,Fuzzy clustering,Blood cell,Java program,Computer science,Cytoplasm,Pixel,Artificial intelligence
Conference
Volume
ISSN
Citations 
62
1867-5662
1
PageRank 
References 
Authors
0.44
2
6
Name
Order
Citations
PageRank
En-yong Wang150.89
Zhengpin Gou210.44
Ai-min Miao351.23
Shu-qing Peng450.89
Zhen-yang Niu510.44
xinling shi67415.34