基于数学形态学滤波的储粮害虫图像二值分割研究

Two-Value Segmentation of Stored-Grain Pest Image Based on Mathematical Morphology

阐述了储粮害虫二值图像分割技术在图像识别中的重要性,提出一种基于数学形态学的改进二值图像分割方法。该方法不仅可以将储粮害虫从背景中分割出来,而且很好地保留了害虫各个部分的边缘细节特征。该方法计算量较小,简便实用,将其应用于储粮害虫图像的边缘检测,能够清晰、连续地检测到储粮害虫图像的有效边缘信息。

The necessity of two - value image segmentation of stored - grain pest for image identification is expatiated in this paper. A two - value image segmentation method based on mathematical morphology is proposed, which is different from the traditional way, not only segment objects from the background, but also obtain better clearance and continuous edge detection. This method needs less computational efforts and is easier applied.