Research on Segmentation and Recognition of Marrow Cells Image

Author

Zhenjie, Hou ; Shuoshi, Ma ; Xichun, Pei ; Xin, Pan

Author_Institution

Coll. of Comput. & Inf. Eng., Inner Mongolia Agric. Univ., Hokhot

Volume

2

fYear

2006

fDate

16-18 Oct. 2006

Firstpage

329

Lastpage

332

Abstract

Aiming at the characteristics of the marrow cell image, proposed a new method to check and measure local regularity and got a appropriate threshold using multi-fractal spectrum meanwhile accurate edges of different kinds of cells can be detected. Using principal component analysis based neural network (GHA) to acquire three principal components and using simulated annealing (SA) and BP network to classify and recognize the marrow cells

Keywords

backpropagation; bone; image recognition; image segmentation; medical image processing; principal component analysis; simulated annealing; backpropagation network; edge detection; marrow cell image recognition; marrow cell image segmentation; multifractal spectrum; neural network; principal component analysis; simulated annealing; Cells (biology); Character recognition; Equations; Fractals; Image edge detection; Image recognition; Image segmentation; Neural networks; Pixel; Principal component analysis; PCA; SA; local regularity; marrow cells; segmentation;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Systems Design and Applications, 2006. ISDA '06. Sixth International Conference on

Conference_Location

Jinan

Print_ISBN

0-7695-2528-8

Type

conf

DOI

10.1109/ISDA.2006.253856

Filename

4021683