人工智能
分割
计算机科学
体素
计算机视觉
模式识别(心理学)
尺度空间分割
图像分割
体积热力学
小波
多分辨率分析
维数之咒
离散小波变换
基于分割的对象分类
小波变换
物理
量子力学
作者
Shadi Al Zu'bi,Naveed Islam,Maysam Abbod
标识
DOI:10.1109/apccas.2010.5774847
摘要
3D volume segmentation aims at partitioning the voxels into 3D objects (sub-volumes) which represent meaningful physical entities. Multi-resolution analysis (MRA) allows for the preservation of an image according to certain levels of resolution or blurring. The quality of this approach makes it useful in image compression, de-noising, and classification or segmentation. This paper focuses on the implementation of a medical volume segmentation technique using 3D Discrete Wavelet Transform (3D-DWT). Principle Component Analysis (PCA) has been presented to reduce the dimensionality of the 3D volume as a pre-processing step of 3D-DWT to accelerate the segmentation process.
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