| J.-Ph. Thiran, V. Warscotte, and B. Macq, "A queue-based region growing algorithm for the accurate segmentation of multidimensional digital images," Signal Processing, vol. 60, no. 1, pp. 1-10, 1997. |
....image of the set, fig. 4(b) represents the mask, or atlas, which is used to select the object) fig. 4(c) is the object of interest as segmented by the mask, and fig. 4(d) is the background. In our work, the brain segmentation has been performed by a directional watershed, as described in [42]. Some coding results are also provided for the 8 bit head MR image volume obtained by the Mallinckrodt Institute of Radiology, Image Processing Laboratory, that we label as MR MRI. It consists in a set of 58 images of size 256 x 256 representing the saggital view of a head which has been used as ....
J.-Ph. Thiran, V. Warscotte, and B. Macq, "A queue-based region growing algorithm for the accurate segmentation of multidimensional digital images," Signal Processing, vol. 60, no. 1, pp. 1-10, 1997.
....[k;l;j] set, Fig. 4(b) represents the mask,oratlas, which is used to select the object) Fig. 4(c) is the object of interest as segmented by the mask, and Fig. 4(d) is the background. In our work, the brain segmentation has been performed by a directional watershed, as described in [42]. Some coding results are also provided for the 8 bit head MR image volume obtained by the Mallinckrodt Institute of Radiology, Image Processing Laboratory, that we label as MR MRI. It consists in a set of 58 images of size 256 256 representing the saggital view of a head which has been used as ....
J.-Ph. Thiran, V. Warscotte, and B. Macq, "A queue-based region growing algorithm for the accurate segmentation of multi-dimensional digital images," Signal Process., vol. 60, no. 1, pp. 1--10, 1997.
....relationship (eq. 3) for every node : 10) 3 Experiments 3. 1 FE model generation To build our brain model, we segmented the brain out of the initial intraoperative MRI using our directional watershed algorithm [26]. The volume was further simplified using mathematical morphology to obtain a smooth surface. Figure 1 shows cuts through a sample tetrahedral mesh of the brain overlayed on the corresponding initial image. Note that the mesh has been adaptively refined in the neighborhood of the lateral ....
J.P. Thiran, V. Warscotte, and B. Macq. A Queue-based Region Growing Algorithm for Accurate Segmentation of Multi-Dimensional Images. Signal Processing, 60:1--10, 1997.
....to reproduce the most important ones with a better quality. The basic blocks of an object based coding system are respectively segmentation, to identify ROIs, shape modeling, to describe ROIs, and object based coding. In this work we will assume that the segmentation is given, see for example [5, 6]. Shape modeling aims to provide a convenient de scription of the object geometry. Given that both the encoder and the decoder use such information, it must be transmitted, so the choice of the modeling technique should result from a compromise between accuracy and conciseness in shape ....
J.-Ph. Thiran, V. Warstorre, and B. Macq. "A queue-based region growing algorithm for the accurate segmentation of multi-dimensional digital images ". Signal Processing, Vol. 60, No. 1, 1997.
....Karolinska, Sweden) with an MR image. The registration method is based on the matching of 2 important anatomical landmarks: the cortical surface and the ventricular system. First, the cortical surface of the brain is segmented from the MR image using a directional watershed algorithm proposed in [10] followed by mathematical morphology based operations to simplify the brain surface. Only a coarse cortical surface (without sulci) and the ventricular system will used by the matching criterion (see Figure 1) Figure 1 : slice of original MR image, segmentation using directional watersheds, ....
J.-Ph. Thiran, V. Warscotte, B. Macq, A queue-based region growing algorithm for accurate segmentation of multidimensional images, Signal Processing, Vol. 60, 1997, pp. 1-10.
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