Paper
24 February 2012 Texture analysis using Minkowski functionals
Xiaoxing Li, Paulo R. S. Mendonça, Rahul Bhotika
Author Affiliations +
Abstract
Minkowski Functionals (MFs) are geometric measurements of 3D shapes, including volume, surface area, curvature and Euler number. MFs can be used as texture descriptors for medical image analysis in the segmentation of normal anatomy as well as in the detection/diagnosis of pathology. In this paper, we propose a method for fast computation of MFs based on integral images, which offers significantly improved accuracy and efficiency compared with previous works. In addition, MFs computed using our method are used in applications on image segmentation and pathology detection. Our experiment results clearly demonstrate the potential of MFs in such medical image analysis tasks.
© (2012) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Xiaoxing Li, Paulo R. S. Mendonça, and Rahul Bhotika "Texture analysis using Minkowski functionals", Proc. SPIE 8314, Medical Imaging 2012: Image Processing, 83144Y (24 February 2012); https://doi.org/10.1117/12.912033
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CITATIONS
Cited by 10 scholarly publications.
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KEYWORDS
Image segmentation

Lung

Medical imaging

Liver

Pathology

Computed tomography

Principal component analysis

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