DocumentCode
2881491
Title
Studies on segmentation and recognition marrow cells image
Author
Zhenjie, Hou ; Shuoshi, Ma ; Xichun, Pei ; Xin, Pan
Author_Institution
Coll. of Comput. & Inf. Eng., Inner Mongolia Agric. Univ., China
Volume
2
fYear
2005
fDate
12-14 Oct. 2005
Firstpage
1263
Lastpage
1266
Abstract
Aiming at the characteristics of the marrow cell image, proposed a new method to calculate local regularity and got a appropriate threshold using multi-fractal spectrum so that accurate edges of different kinds of cells can be detected. Adopted two neural networks: using principal component analysis based neural network (GHA) to acquire three principal components and using simulated annealing (SA) and BP network to class and recognize the marrow cells.
Keywords
backpropagation; bone; cellular biophysics; image recognition; image segmentation; medical image processing; neural nets; principal component analysis; simulated annealing; BP network; image recognition; image segmentation; local regularity; marrow cells image; multifractal spectrum; neural networks; principal component analysis; simulated annealing; Cells (biology); Educational institutions; Equations; Fractals; Image edge detection; Image recognition; Image segmentation; Neural networks; Pixel; Principal component analysis;
fLanguage
English
Publisher
ieee
Conference_Titel
Communications and Information Technology, 2005. ISCIT 2005. IEEE International Symposium on
Print_ISBN
0-7803-9538-7
Type
conf
DOI
10.1109/ISCIT.2005.1567097
Filename
1567097
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