Title :
Feature extraction in automatic shape recognition system
Author :
Salam, Rosalina Abdul ; Talib, Abdullah Zawawi Hj ; Sumari, Putra ; Rodrigues, Marcos Aurelio
Author_Institution :
Sch. of Comput. Sci., Univ. Sci. of Malaysia, Penang, Malaysia
Abstract :
Feature selection and extraction is the preprocessing step of image mining. An automatic shape recognition system by mining relevant image features is tested in this paper. The system is invariant to rotation, translation, size, and mirror effect and to a certain degree of distortion. Color, depth and texture grouped together to form a set of new features. Selecting and grouping the data be the part of the data mining process. Results are visualized in graphical format and different shapes are seen clearly from the graphical representation.
Keywords :
data mining; feature extraction; image recognition; object recognition; very large databases; automatic shape recognition system; data mining process; feature selection-extraction; graphical representation; image mining; Automatic testing; Data mining; Distortion measurement; Feature extraction; Focusing; Image analysis; Pixel; Robustness; Shape measurement; Statistical analysis;
Conference_Titel :
Information and Communication Technologies: From Theory to Applications, 2004. Proceedings. 2004 International Conference on
Print_ISBN :
0-7803-8482-2
DOI :
10.1109/ICTTA.2004.1307834
