3D Texture Feature Extraction Based on a Cubic Uniformity Interpolation Method for Emphysema in Chest CT Images

Abstract

The application of computer-aided diagnosis system for early diagnosis of lung diseases to achieve the purpose of early treatment is the best solution. In this paper, we propose a Cubic Uniformity Interpolation Method (CUIM) for three dimensional local brightness and structure to detect the pathological change in the chest CT images. we propose an extension of rotation invariant cubic local binary pattern (CLBP), extract texture features in three dimensional directions to represent the brightness uniformity pattern of the image.The 3D optimized texture parameter CLBP allows to discriminate among the three groups of tissue specimens(normal, emphysema ,panlobular emphysema) by quantitative assessment of the underlying texture properties.