谱线寻峰在激光诱导击穿光谱(laser-induced breakdown spectroscopy)中是必不可少的步骤, 然而噪声和背景的存在, 干扰了寻峰的准确性。 为了提高LIBS寻峰中重叠峰分辨能力和自适应能力, 提出一种适用于LIBS谱图的自动寻峰方法。 将基于连续小波变换的脊线寻峰法引入到LIBS中, 探讨了连续小波变换中的小波母函数的选择并优化了尺度参数和平移参数, 提出一套脊线校正方法对脊线寻峰法进行了改进。 实验结果表明, 该方法与直接比较法、 导数法和脊线寻峰法相比, 在重叠峰分辨能力和寻峰精度等方面优势显著, 可应用于LIBS数据处理。

Spectrum peak detection in the laser-induced breakdown spectroscopy (LIBS) is an essential step, but the presence of background and noise seriously disturb the accuracy of peak position. The present paper proposed a method applied to automatic peak detection for LIBS spectrum in order to enhance the ability of overlapping peaks searching and adaptivity. We introduced the ridge peak detection method based on continuous wavelet transform to LIBS, and discussed the choice of the mother wavelet and optimized the scale factor and the shift factor. This method also improved the ridge peak detection method with a correcting ridge method. The experimental results show that compared with other peak detection methods(the direct comparison method, derivative method and ridge peak search method), our method had a significant advantage on the ability to distinguish overlapping peaks and the precision of peak detection, and could be be applied to data processing in LIBS.