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)
In this paper, we present a method for binary image comparison. For binary images, intensity information is poor and shape extraction is often difficult. Therefore binary images have to be compared without using feature extraction. Due to the fact that different scene patterns can be present in the images, we propose a modified Hausdorff distance (HD)(More)
Image similarity measure is widely used in image processing. For binary images that are not composed of a single shape, a local comparison is interesting but the features are usely poor (color) or difficult to extract (texture, forms). We present a new binary image comparison method that uses a windowed Hausdorff distance in a pixel-adaptive way. It enables(More)
Saliency models have been extensively studied for static images and the focus is now on moving images. There is a central bias in both cases that is emphasized in the dynamic case. One aspect in this latter is the camera motion that influences the scene interpretation. The movie director exploits this motion to make the observer focus on the targeted object(More)
Image dissimilarity measure is a hot topic. The measure process is generally composed of an information mining in each image which results in an image signature and then a signature comparison to take the decision about the image similarity. In the scope of binary images, we propose in this paper to replace the information mining by a new straight image(More)