An investigation of p-normed sparsity evaluation for SS-LBP-based edge extraction

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• 作者：Zhao Chen-yi^a ; Sun Jia-ning^b ; ^{sunjn118@nenu.edu.cn} ; Qiao Shuang^a ; ^{qiaos810@nenu.edu.cn}
• 关键词：Edge extraction ; p-norm ; Sparsity evaluation ; Digital radiography
• 刊名：Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment
• 出版年：2017
• 出版时间：1 February 2017
• 年：2017
• 卷：844
• 期：Complete
• 页码：77-80
• 全文大小：2933 K
• 卷排序：844

文摘

SS-LBP is a very efficient tool for fast edge extraction in digital radiography. In this paper, we introduce a p-normed sparsity evaluation strategy to improve and generalize the existing SS-LBP framework. To illustrate the feasibility of the proposed approach, several experimental results are presented. Comparisons show that 1-normed sparsity evaluation is more effective and robust in practical applications.