A Directed FCM Approach for Analysis of Stained Tissue

Author

Rahimi, S. ; Mogharreban, N. ; Krovi, A.

Author_Institution

Dept. of Comput. Sci., Southern Illinois Univ., Carbondale, IL, USA

Volume

1

fYear

2004

fDate

27-30 June 2004

Firstpage

228

Abstract

The use of digital imagery has increased phenomenally especially in the clinical field. These images are obtained from different modalities such as X-ray and MRI. Digital imaging of the more traditional imagery such as stained tissues has opened up new means of investigation. Hence a need to build a system to analyze the stained tissues and extract the salient information has risen. A Directed FCM Approach for Analysis of Stained Tissues introduces a modified FCM to analyze the tissues. The analysis can be controlled by the user by selecting the number of clusters, size of the clusters and the centers for the clusters. The results of this analysis are reported as the percent of changes in a specific square area.

Keywords

biological tissues; fuzzy set theory; image colour analysis; image segmentation; medical image processing; pattern clustering; clinical field; cluster size; digital imaging; directed fuzzy clustering means algorithm; image colour analysis; image segmentation; stained tissue analysis; Biomedical imaging; Computer science; Digital images; Image analysis; Image color analysis; Magnetic analysis; Magnetic resonance imaging; Medical diagnostic imaging; Surfaces; X-ray imaging;

fLanguage

English

Publisher

ieee

Conference_Titel

Fuzzy Information, 2004. Processing NAFIPS '04. IEEE Annual Meeting of the

Print_ISBN

0-7803-8376-1

Type

conf

DOI

10.1109/NAFIPS.2004.1336282

Filename

1336282