제어로봇시스템학회:학술대회논문집
- 제어로봇시스템학회 2005년도 ICCAS
- /
- Pages.838-841
- /
- 2005
Development of Pattern Classifying System for cDNA-Chip Image Data Analysis
- Kim, Dae-Wook (Department of Electrical Engineering, Chun-Ang University) ;
- Park, Chang-Hyun (Department of Electrical Engineering, Chun-Ang University) ;
- Sim, Kwee-Bo (Department of Electrical Engineering, Chun-Ang University)
- 발행 : 2005.06.02
초록
DNA Chip is able to show DNA-Data that includes diseases of sample to User by using complementary characters of DNA. So this paper studied Neural Network algorithm for Image data processing of DNA-chip. DNA chip outputs image data of colors and intensities of lights when some sample DNA is putted on DNA-chip, and we can classify pattern of these image data on user pc environment through artificial neural network and some of image processing algorithms. Ultimate aim is developing of pattern classifying algorithm, simulating this algorithm and so getting information of one's diseases through applying this algorithm. Namely, this paper study artificial neural network algorithm for classifying pattern of image data that is obtained from DNA-chip. And, by using histogram, gradient edge, ANN and learning algorithm, we can analyze and classifying pattern of this DNA-chip image data. so we are able to monitor, and simulating this algorithm.