Etienne Baudrier

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This paper presents a quantification method which can be used to quantify the evolution of a brain tumor with time. From two segmented volumes, a Local Distance Volume (LDV) based on Hausdorff Distance is computed to show the true physical local distances between them. In the case of tracking a tumor volume during a therapeutic treatment, local variations(More)
Image comparison is widely used in image processing. For binary images that are not composed of a single shape, a local comparison can be interesting because the features are usually poor (colour) or difficult to extract (texture, forms). Thus a new binary image comparison method that uses a windowed Hausdorff distance is presented. It enables local(More)
The similarity measure process is generally composed of two steps: an image signature extraction and a signature comparison to take a decision about the image similarity. In the scope of binary images, we propose to replace the information mining by a new straight image comparison which does not require a priori knowledge. With this end, a local Hausdorff(More)
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