摘要：The paper presents the approaches, methods and tools for assessment of main quality features of grain samples using analysis of objects color images and spectral characteristics, which are implemented in the frames of INTECHN project. Visible features like color, shape, and dimensions are extracted from the object images. Information about object color and surface texture is obtained from the object spectral characteristics. The categorization of grain sample elements in three quality groups is accomplished using two data fusion approaches. The first approach is based on the fusion of the results about object color and shape characteristics obtained using image analysis only. The second approach fuses the shape data obtained using image analysis and the color and surface texture data obtained by spectra analysis. The results obtained by the two data fusion approaches are compared
关键词：Grain sample quality assessment; color image analysis; spectra analysis; classification; data fusion
