NDLI: An image segmentation algorithm based on kernel estimation and moment-preserving

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2010 2nd International Conference on Signal Processing Systems

Volume 3 - 2010

Volume 2 - 2010

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Volume 1 - 2010

2009 International Conference on Signal Processing Systems

An image segmentation algorithm based on kernel estimation and moment-preserving

Content Provider	IEEE Xplore Digital Library
Author	Jin Li Lei Wang Jie Wei Hua Wen
Copyright Year	2010
Description	Author affiliation: Yunnan Power Grip Corporation, China Southern Power Grid, Kunming, China (Jie Wei) \|\| College of Automation, Harbin Engineering University, Harbin, China (Jin Li; Lei Wang) \|\| Yunnan Provincial Electric Power Test & Research Institute, China Southern Power Grid, Kunming, China (Hua Wen)
Abstract	Industrial computed tomography (ICT) is a device which examines the internal structures of industrial components without destroying them. However, lots of artifact and noise usually exist in the industrial CT image and troubles are brought on the visualization and classification of industrial CT volume data at the same time. Image segmentation for Industrial CT images is one of the most important and fundamental tasks and techniques based on image threshold are typically simple and computationally efficient. However, the image segmentation results depend heavily on the threshold. The goal of our work is to decrease the noise and artifact in the industrial CT image by segmentation. Non-parameter estimation method is integrated to estimate the spatial probability distribution of gray-level values, and a criterion function by the moment-preserving is used. By optimizing the criterion function, an optimal global threshold is obtained. The experimental results for Industrial CT images demonstrate the success of the proposed image threshold method, as compared with the OTSU method and the moment-based method, which cannot segment the industrial CT images with low contrast ratio, much noise and artifact.
File Size	504129
File Format	PDF
ISBN	9781424468928
e-ISBN	9781424468935
DOI	10.1109/ICSPS.2010.5555443
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-07-05
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Image segmentation Histograms Industrial CT Computed tomography Segmentation Noise Signal processing algorithms Estimation Kernel Density Estimation Object segmentation Moment-preserving
Content Type	Text
Resource Type	Article

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