基于自适应编辑距离的颜料光谱匹配识别方法

Pigment Spectral Matching Recognition Method Based on Adaptive Edit Distance

为解决传统光谱匹配算法对同色系不同颜料物质光谱数据匹配识别精度不高的问题,提出了一种自适应阈值的编辑距离光谱匹配算法;研究了如何利用编辑距离对光谱反射率曲线差别敏感的特性来提高匹配精度的方法,同时通过自适应设定编辑距离的判定条件来减小算法匹配同种物质时在不同条件下光谱数据的误差。结果表明:与传统光谱匹配算法相比,自适应编辑距离算法的匹配精度更高,对颜料的识别结果更好。

To solve the problem that the traditional spectral matching algorithms have low accuracy in matching spectral data of different pigment materials in the same color system, we propose an adaptive threshold edit distance spectral matching algorithm. The edit distance is researched to improve the matching accuracy by using its characteristics of being sensitive to the spectral reflectance difference. At the same time, by adaptively setting the judging conditions of the edit distance, we reduce the error of this algorithm in matching the spectral data of the same pigment materials under different conditions. The results show that the matching accuracy of the adaptive edit distance algorithm is higher than that of the traditional spectral matching algorithms, and the recognition results of the adaptive edit distance algorithm for the pigment is better than that of the traditional algorithms.