Thursday, 27 August 2009

Wseas Transactions

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Transactions: WSEAS TRANSACTIONS ON SYSTEMS
Transactions ID Number: 29-663
Full Name: Carlos Aviles-Cruz
Position: Doctor (Researcher)
Age: ON
Sex: Male
Address: Electronic Department, Av San Pablo 180, Col Reynosa, Mexico D.F
Country: MEXICO
Tel: (+52) 53189550 ext 1026
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E-mail address: caviles@correo.azc.uam.mx
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Title of the Paper: Structured-Image Retrieval invariant to rotation, scaling and translation
Authors as they appear in the Paper: Carlos Aviles-Cruz, Andres Ferreyra-Ramirez, Juan Ocampo-Hidalgo and Ivan Vazquez-Alvarez
Email addresses of all the authors: caviles@correo.azc.uam.mx, fra@correo.azc.uam.mx, jjoh@correo.azc.uam.mx, iva@correo.azc.uam.mx
Number of paper pages: 10
Abstract: In Content Based Image Retrieval (CBIR) domain a new methodology is proposed in this paper; this methodology is based on statistical features such as Hu invariant moments (invariant to scale and translation) and a correlation measure (between 2 images). In order to attack image rotation problem, we use principal components analysis. Image comparison is done by correlation. Proposed scheme was tested with hundred of structured images like: electronic circuits, cell phones, cars, trees, leaves, grass, glasses, tables, etc. Features characteristics are extracted from invariant moments, taken from window size estimation. From a query image, a set of features were estimated in order to compare to a set of images. Correlation function is applied to get image similarity, it is obtained a believe percentage value. As a methodology conclusion, we found that the invariant moments combined with principal component analysis gives excellent results in image retrieval task. An !
exhaustive study was performed with 1000 images. We also evaluated the impact of noise on the images testing additive Gaussian random noise.
Keywords: Image Retrieval, PCA, Invariant Moments, Pattern Recognition.
EXTENSION of the file: .doc
Special (Invited) Session: Robust Image Retrieval Using Hu Invariants and Principal Components Analysis
Organizer of the Session: 620-590
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