DocumentCode
2211681
Title
Research of Morphology Quantification Algorithm on DNA Polymorphism Individual Identifying
Author
Wang, Li ; Ma, Ji ; Wang, Xiaoning
Author_Institution
Inf. Eng. Coll., Shenyang Univ., Shenyang, China
fYear
2009
fDate
26-28 Dec. 2009
Firstpage
1402
Lastpage
1405
Abstract
Polymorphism individual identifying of DNA was the image pattern-recognition of the oligonucleotide chip scan photo. The authors of this paper propose their own functions which aim at the issue of bit dot computer recognition of oligonucleotide chip scan photo: implemented chip-scan photo binarization after the determination of threshold-value by using OSTU. Sub-image segmentation and separately processing were adopted to achieve mathematical morphology and quantification in chip-scan photo information processing; find the image edge line of the sample spot by tracking function, then obtain the sample dots´ area by using approximation curve algorithm and integral, and compare with the standard sample dots to get its binary value. The paper also introduced the information collection algorithm design process.
Keywords
DNA; approximation theory; biology computing; image recognition; image sampling; image segmentation; lab-on-a-chip; mathematical morphology; quantisation (signal); DNA polymorphism; OSTU; approximation curve algorithm; bit dot computer recognition; chip-scan photo information processing quantification; image pattern recognition; information collection algorithm design process; integral curve algorithm; mathematical morphology; morphology quantification algorithm; oligonucleotide chip scan photo binarization; sub-image segmentation; threshold value determination; tracking function; DNA; Histograms; Image segmentation; Information processing; Information science; Morphology; Pattern recognition; Pixel; Pollution; Probes;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Science and Engineering (ICISE), 2009 1st International Conference on
Conference_Location
Nanjing
Print_ISBN
978-1-4244-4909-5
Type
conf
DOI
10.1109/ICISE.2009.919
Filename
5454684
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