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Fig. 2 | IPSJ Transactions on Computer Vision and Applications

Fig. 2

From: Nuclear detection in 4D microscope images of a developing embryo using an enhanced probability map of top-ranked intensity-ordered descriptors

Fig. 2

The proposed nuclear detection framework. The top figure denotes the construction procedure of probability models based on TRIODs, and the bottom part gives the procedure of nuclear detection. For constructing of probability models, we firstly extract some nuclear regions from several randomly selected embryo images and then obtain the TRIODs from all l×l local patches centered on the pixels in the nuclear regions, which are used as the input vector for constructing the nuclear models. In the nuclear detection procedure, the TRIODs for all pixels in the input embryo are computed as the input vector to the constructed probability model for obtaining the transformed nuclear-enhancement map, and then, the level set method is used for nuclear detection on the transformed map

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