Study on algorithm of ceramic microstructure feature extraction based on morphological analysis

In traditional ceramic microstructure image recognition, bubbles and cracks are usually detected directly, while morphological factors are ignored. This paper proposes a ceramic microstructure feature extraction algorithm based on morphological analysis. The algorithm combines bubble statistical and topological structure features to extract image features. Experimental results show that the proposed algorithm effectively enhances the performance of ceramic micro-image feature recognition and classification and provides a reference for ceramic image feature processing.