Automatic Detection of Defective Zebrafish Embryos via Shape Analysis
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]
|Collections||ANU Research Publications|
|Source:||Proceedings of the Digital Image Computing: Techniques and Applications (DICTA 2009)|
|01_Zhao_Automatic_Detection_of_2009.pdf||1.37 MB||Adobe PDF||Request a copy|
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