DocumentCode :
2852582
Title :
Distorted grid recognition with its application to microarray image analysis
Author :
Qi, Fei ; Luo, Yupin ; Hu, Dongcheng
Author_Institution :
Dept.of Autom., Tsinghua Univ., Beijing, China
fYear :
2004
fDate :
18-20 Dec. 2004
Firstpage :
128
Lastpage :
131
Abstract :
In this paper, we address a novel automatic distorted grid recognition algorithm and its application to identify spots grid in microarray images. The proposed method contains two main steps. The first step is a top-down procedure which retrieves the global information, horizontal spacing, vertical spacing and rotation angle, of grid by utilizing Gaussian mixture model and document spectrum. The second step, which is bottom-up, rebuilds the grid structure with the aid of the data obtained in the first step. The estimation of global information is precise and the reconstruction progress is effective. The accuracy and efficiency of the approach are validated by applying it to synthesis images, real distorted grid and microarray images. Furthermore, our approach is automatic and insensitive to the absence of grid elements.
Keywords :
Gaussian processes; array signal processing; image recognition; image reconstruction; image retrieval; image segmentation; parameter estimation; Gaussian mixture model; automatic distorted grid recognition algorithm; bottom-up procedure; distorted grid; distorted grid recognition; image reconstruction; image segmentation; microarray image analysis; parameter estimation; top-down procedure; Automation; Concurrent computing; Discrete transforms; Grid computing; Image analysis; Image recognition; Image reconstruction; Image segmentation; Information retrieval; Throughput;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image and Graphics (ICIG'04), Third International Conference on
Conference_Location :
Hong Kong, China
Print_ISBN :
0-7695-2244-0
Type :
conf
DOI :
10.1109/ICIG.2004.57
Filename :
1410403
Link To Document :
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