Sparsity-based shrinkage approach for practicability improvement of H-LBP-based edge extraction

作者：Zhao, Chenyi; Qiao, Shuang^*; Sun, Jianing^*; Zhao, Ruikun; Wu, Wei

来源：Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment , 2016, 825: 1-5.

DOI：10.1016/j.nima.2016.04.016

• H-LBP
• Edge extraction
• Shrinkage
• Data sparsity
• Digital radiography

The local binary pattern with H H-LBP) technique enables fast and efficient edge extraction in digital radiography. In this paper, we reformulate the model of H-LBP and propose a novel sparsity-based shrinkage approach, in which the threshold can be adapted to the data sparsity. Using this model, we upgrade fast H-LBP framework and apply it to real digital radiography. The experiments show that the method improved using the new shrinkage approach can avoid elaborately artificial modulation of parameters and possess greater robustness in edge extraction compared with the other current methods without increasing processing time.

• 出版日期2016-7-21
• 单位东北师范大学