Combining of Local Histogram and Local Slice Feature Vectors for Classifying Diffuse Lung Opacities in Thin-Section Computed Tomography Images
Keywords:
Diffuse lung opacities, combined feature vector, local histogram feature, local slice feature, HRCT images, CAD system.Abstract
The classification of diffuse lung opacities in
thin-section computed tomography (HRCT) images is an
important step for developing a computer-aided diagnosis (CAD) system. In designing the CAD system for classifying diffuse lung opacities in HRCT images, a local histogram feature vector approach has been proposed and shown to be effective. Furthermore, a local slice feature vector approach unlike a local
histogram feature approach has been proposed and shown to be effective. However, the effectiveness of a combined feature vector of local histogram and local slice feature vectors is not clear. In this paper, more effectively to classify diffuse lung opacities in HRCT images, we explore the combined feature vector of local histogram and local slice feature vectors. Furthermore, we examine the effects of normalization, rescaling
and standardization, for the combined feature vector.
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