Fusion of spectra and texture data of hyperspectral imaging for prediction of myoglobin content in nitrite-cured mutton

文献类型： 外文期刊

第一作者： Wan, Guoling

作者： Wan, Guoling;Liu, Guishan;He, Jianguo;Li, Yan;Guo, Mei;Wan, Guoling;Fan, Shuxiang;Fan, Shuxiang;Wang, Wei;Ma, Chao;Cheng, Lijuan

作者机构：

关键词： Hyperspectral imaging; Texture data; Myoglobin; Spectral dimensionality reduction; Information fusion

期刊名称：FOOD CONTROL （ 影响因子：6.0； 五年影响因子：5.8 ）

ISSN： 0956-7135

年卷期： 2023 年 144 卷

页码：

收录情况： SCI

摘要： The amount and chemical state of myoglobin are often relevant to meat color, which is one of the important characteristics of meat freshness and wholesomeness. To precisely determine OxyMb and MetMb contents in mutton, the feasibility of optimization detection technology of spectral image fusion was explored. Three methods were used to select characteristic wavelengths while textural features of muscle tissue were derived. Compared among all models, LSSVM models coupled with spectra and textural parameters all performed better than these PLSR models. The iVISSA-COR-LSSVM model for OxyMb prediction achieved a good performance of R2C = 0.9525, RMSEC = 2.2955, R2P = 0.8956, and RMSEP = 3.0036. The more effective prediction performances emerged from VCPA-IRIV-COR-LSSVM model with R2C = 0.8809, RMSEC = 2.2009, R2P = 0.8353, and RMSEP = 3.2096 for MetMb. In final, the pseudo color maps of OxyMb and MetMb distribution were generated. This study demonstrated that the data fusion method furnishes a new approach to rapidly evaluate myoglobin content.

分类号：

  • 相关文献
作者其他论文 更多>>

微信小程序