DocumentCode :
3584943
Title :
Rotation analysis of moment invariant for 2D and 3D shape representation for molecular structure of ATS drugs
Author :
Bero, Siti Asmah ; Muda, Azah Kamilah ; Yun-Huoy Choo ; Muda, Noor Azilah ; Pratama, Satrya Fajri
Author_Institution :
Fac. of Inf. & Commun. Technol., Univ. Teknikal Malaysia Melaka Hang Tuah Jaya, Melaka, Malaysia
fYear :
2014
Firstpage :
308
Lastpage :
313
Abstract :
Drug abuse among the people around the world is getting serious and increase nowadays. An Amphetamine-Type Stimulant (ATS) drug is one of the popular drugs in the world. This kind of drug is a combination of two types of drugs; amphetamine and ecstasy. In this project, we are focusing on two different techniques used to compare the result between 2D and 3D ATS drug molecule. Besides that, this project is also looking for the best technique to produce 2D and 3D images. United Moment Invariant (UMI) and Hough Transform (HT) are the feature extraction methods that will be used to extract data from both 2D and 3D molecular structure of the ATS drugs. Later, the extracted data will be processed into WEKA for classification accuracies for both molecular structures. As a conclusion, the MI and the HT technique will definitely provide different results, but both techniques will perform well with the ATS molecular structure.
Keywords :
Hough transforms; biochemistry; data analysis; data structures; drugs; feature extraction; image classification; medical image processing; molecular configurations; rotation; visual databases; 2D ATS drug molecule; 2D image production; 2D molecular structure; 2D shape representation; 3D ATS drug molecule; 3D image production; 3D molecular structure; 3D shape representation; ATS drug molecular structure; HT; Hough transform; UMI; WEKA; amphetamine-type stimulant drug; data processing; drug abuse; drug combination; ecstasy; feature extraction; molecular structure classification accuracy; rotation analysis; united moment invariant; Data mining; Drugs; Equations; Feature extraction; Shape; Three-dimensional displays; Transforms; ATS drugs; Feature extraction; Hough Transform (HT); United Moment Invariants (UMI);
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information and Communication Technologies (WICT), 2014 Fourth World Congress on
Print_ISBN :
978-1-4799-8114-4
Type :
conf
DOI :
10.1109/WICT.2014.7077285
Filename :
7077285
Link To Document :
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