Comput. Biol. Med. - Texture feature extraction based on a uniformity estimation method for local brightness and structure in chest CT images.

Tópicos

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Resumo

Texture feature is one of most important feature analysis methods in the computer-aided diagnosis (CAD) systems for disease diagnosis. In this paper, we propose a Uniformity Estimation Method (UEM) for local brightness and structure to detect the pathological change in the chest CT images. Based on the characteristics of the chest CT images, we extract texture features by proposing an extension of rotation invariant LBP (ELBP(riu4)) and the gradient orientation difference so as to represent a uniform pattern of the brightness and structure in the image. The utilization of the ELBP(riu4) and the gradient orientation difference allows us to extract rotation invariant texture features in multiple directions. Beyond this, we propose to employ the integral image technique to speed up the texture feature computation of the spatial gray level dependent method (SGLDM).

Resumo Limpo

textur featur one import featur analysi method computeraid diagnosi cad system diseas diagnosi paper propos uniform estim method uem local bright structur detect patholog chang chest ct imag base characterist chest ct imag extract textur featur propos extens rotat invari lbp elbpriu gradient orient differ repres uniform pattern bright structur imag util elbpriu gradient orient differ allow us extract rotat invari textur featur multipl direct beyond propos employ integr imag techniqu speed textur featur comput spatial gray level depend method sgldm

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