Zhao, Haifeng; Zhou, Jun; Robles-Kelly, Antonio; Lu, Jianfeng; Yang, Jing-Yu
In this paper, we present a graph-based approach to automatically detect defective zebrafish embryos. Here, the zebrafish is segmented from the background using a texture descriptor and morphological operations. In this way, we can represent the embryo shape as a graph, for which we propose a vectorisation method to recover clique histogram vectors for classification. The clique histogram represents the distribution of one vertex with respect to its adjacent vertices. This treatment permits the...[Show more]
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