A novel and compact near-infrared (NIR) Raman system is developed using 785-nm diode laser, volume-phase
technology holographic system, and NIR intensified charge-coupled device (CCD). Raman spectra and first derivative
spectra of Rhizoma Dioscoreae are obtained. Raman spectra of Rhizoma Dioscoreae showed three strong characteristic
peaks at 477.4cm<sup>-1</sup>, 863.9cm<sup>-1</sup>, and 936.0cm<sup>-1</sup>. The major ingredients are protein, amino acid, starch, polysaccharides and
so on, matched with the known basic biochemical composition of Rhizoma Dioscoreae. In the first derivative spectra of
Rhizoma Dioscoreae, distinguishing characteristic peaks appeared at 467.674cm<sup>-1</sup>, 484.603cm<sup>-1</sup>, 870.37cm<sup>-1</sup>, 943.368cm<sup>-1</sup>. Contrasted with Rhizoma Dioscoreae Raman spectra, in 600cm<sup>-1</sup> to 800cm<sup>-1</sup>, 1000cm<sup>-1</sup> to 1400cm<sup>-1</sup> regions,
changes in Rhizoma Dioscoreae Raman first derivative spectra are represented more clearly than Rhizoma Dioscoreae
Raman spectra. So Rhizoma Dioscoreae raman first derivative spectra can be an accurate supplementary analysis method
to Rhizoma Dioscoreae Raman spectra.
This hybrid segmentation algorithm presented is a combination of three traditional methods. It has some advantages that
traditional methods don't have: first, the edge detected is continuous; second, segmentation result is accurate; third,
overgrowing doesn't exist. The hybrid algorithm has been implemented on some images. Through the segmentation result, it is proved to be effective.