کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
734682 893467 2008 11 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Retrieval and classification of objects using generic Fourier, Legendre moment, and wavelet Zernike moment descriptors and recognition using joint transform correlator
موضوعات مرتبط
مهندسی و علوم پایه سایر رشته های مهندسی مهندسی برق و الکترونیک
پیش نمایش صفحه اول مقاله
Retrieval and classification of objects using generic Fourier, Legendre moment, and wavelet Zernike moment descriptors and recognition using joint transform correlator
چکیده انگلیسی

The retrieval and classification of shape-based objects employing three descriptors—generic Fourier descriptor (GFD), Legendre moment descriptor (LMD), and wavelet Zernike moment descriptor (WZMD) are described. All three descriptors have been applied for shape retrieval to a database of 1000 shapes from 20 different classes, where each class consists of 50 shapes. The Euclidean distance has been calculated as a similarity measure parameter for shape classification. To study the effect of noise on the retrieval and classification, additive and multiplicative noise of various variances were applied to the database. The classification results have been compared and it is inferred that WZMD performs better than GFD and LMD techniques. Precision and recall were measured as parameters of performance metric. For retrieved shape recognition, an optical experiment employing joint transform correlator architecture has been carried out.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Optics & Laser Technology - Volume 40, Issue 3, April 2008, Pages 517–527
نویسندگان
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