Abstract: In view of the shortcomings of shape classification method based on images of parasite eggs, this paper pro- posed a new classification algorithm based on boundary spatial distribution of parasite eggs. Firstly the location of para- site egg is positioned based on edge profile features of different eggs, and then method of level set is used to extract edge. Finally feature classification is realized by using Fourier descriptors. Experimental results show that this new method has better recognition rate and operating efficiency.

Key words: Parasite eggs, Edge diction, Level set, Edge space distribution histogram, Shape classification and recogni tion,Fouricr descriptors