Thomas Hurtut

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Keywords: Spatial organization of colors Color image retrieval A contrario method Earth Mover's Distance Optimal transport Dead leaves model Dead leaves model Image distance a b s t r a c t This work proposes to compare the spatial organization of colors between images through a global optimization procedure relying on the Earth Mover's Distance. The(More)
We present a technique for the analysis and re-synthesis of 2D arrangements of stroke-based vector elements. The capture of an artist's style by the sole posterior analysis of his/her achieved drawing poses a formidable challenge. Such by-example techniques could become one of the most intuitive tools for users to alleviate creation process efforts. Here,(More)
Many rendering methods use discrete textures (planar arrangements of vector elements) instead of classic bitmaps. Discrete textures are resolution-insensitive and easily allow to modify the elements' geometry or spatial distribution. However, manually drawing such textures is a time-consuming task. Automating this production is a long-time studied subject.(More)
We present in this paper an approach to the analysis of the pictorial content of artistic line-drawings. The pictorial content is the combination of the stylistic content and of the visual features of the represented subject. This paper focuses on the pictorial content hold by line strokes in line-drawings. To this aim, we propose a parameter-free method to(More)
We introduce a spatial color image retrieval method which does not include any segmentation step. This method relies on small image thumbnails and the Earth Mover's Distance (EMD). We then derive an unsupervised matching criterion using an a contrario approach. Experiments are performed on a database of illuminated manuscripts.
Figure 1: Our Model-Based Discrete Texture Synthesis. Given a 2D or 3D exemplar texture composed of discrete vector elements, our model captures the pairwise element interactions that govern the texture's spatial organization, and accounts for their complex shapes. New output textures can then be generated to fill specified domain. Abstract We present a(More)
In this article, a general framework for the retrieval of artistic line-drawings is introduced. It relies on the pictorial content, defined as a combination of the stylistic content and the visual features of the represented subject. First, we propose an automatic method for the extraction of stroke contours in line drawings, relying on a filtering of the(More)
This paper presents a closed edge detection method based on a level lines selection approach. The proposed method is based on an unsupervised probabilistic scheme using an a contrario method. A level line is considered meaningful if its contrast and length is unlikely to be due to chance. Besides being unsupervised, this method exploits a tree structure.(More)
The development of an automatic telemedicine system for computer-aided screening and grading of diabetic retinopathy depends on reliable detection of retinal lesions in fundus images. In this paper, a novel method for automatic detection of both microaneurysms and hemorrhages in color fundus images is described and validated. The main contribution is a new(More)
This paper presents a novel approach for automatic detection of microaneurysms and haemorrhages in fundus images. First, it begins with a preprocessing stage for shade correction , contrast enhancement and denoising. Second, all regional minima with sufficient contrast are extracted and considered as candidates. Third, in an image flooding scheme, a new set(More)