Open AccessNuclide Spectrum Peak Searching Algorithm Based on Multiple Morphological Structuring Elements
Author(s) -
Yao Huang,
Mingzhe Liu,
Xianghe Liu,
Rui Luo
Publication year - 2020
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1634/1/012078
Subject(s) - nuclide , structuring , spectrum (functional analysis) , transformation (genetics) , algorithm , computer science , mathematics , physics , chemistry , nuclear physics , biochemistry , finance , quantum mechanics , economics , gene
Considering the characteristics of the traditional peak searching methods of nuclide spectrum and morphological transformation in the image processing, a nuclide spectrum peak searching method based on multiple morphological structuring elements is proposed. Four flat structural elements at an angle of 0, 45, 90, and 135 to the horizontal line are utilized, then the morphological transformation of the nuclide spectrum is performed, and the details of the different directions of the nuclide spectrum curve are better controlled. The algorithm proposed in this paper improves the ability of the morphological peak searching and the peak information is preserved well, meanwhile, the method has a better peak recognition effect.