کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
1759958 1523221 2006 14 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Wavelet basis selection and feature extraction for shift invariant ultrasound foreign body classification
موضوعات مرتبط
مهندسی و علوم پایه فیزیک و نجوم آکوستیک و فرا صوت
پیش نمایش صفحه اول مقاله
Wavelet basis selection and feature extraction for shift invariant ultrasound foreign body classification
چکیده انگلیسی

This paper proposes a novel technique for automatic ultrasound non-destructive foreign body (FB) detection and classification. A signal registration process is introduced to eliminate shift variations commonly encountered in ultrasound signals. Information theory based methods are then developed for wavelet basis selection and feature extraction to facilitate robust FB classification. Probabilistic neural networks are used for FB classification. Experimental results confirm that the wavelet basis selected by the proposed method improves the FB classification accuracy. It is concluded that low order wavelet bases have better ability to distinguish classes with great similarities than their higher order counterparts, while the reverse is true for more divergent classes.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Ultrasonics - Volume 45, Issues 1–4, December 2006, Pages 1–14
نویسندگان
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