An Approach towards Characterization of Ultrasound Renal Stone Images Using Wavelet Transforms
نویسنده
چکیده
This paper describes an approach for texture characterization based on various wavelet decomposition transforms and its application for the discrimination of visually similar renal stone images. The proposed feature extraction algorithm applies Daubechies, Symlet, Coieflet, orthogonal and reverse biorthogonal wavelet transforms and uses approximation and detail coefficients to characterize renal stones images. This Classification is experimented on a set of twenty five (25) different stones which includes five different type shows that first order statistical, second order statistical, fast fourier transform in combination with wavelet decomposition could be a reliable method for a texture characterization. Key WordsRenal Calculi, Classification, Statistical Analysis, FFT, Texture Characterization, Wavelet Decomposition
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