Thomas Hurtut

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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 resulting distance is applied to image retrieval. Unlike most region-based retrieval systems, no segmentation of images is needed for the query. We then address the decision stage of the(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)
Segmenting the retinal vessels from fundus images is a prerequisite for many CAD systems for the automatic detection of diabetic retinopathy lesions. So far, research efforts have concentrated mainly on the accurate localization of the large to medium diameter vessels. However, failure to detect the smallest vessels at the segmentation step can lead to(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)
Age-related Macular Degeneration (AMD) is a leading cause of legal blindness. As the disease progress, visual loss occurs rapidly, therefore early diagnosis is required for timely treatment. Automatic, fast and robust screening of this widespread disease should allow an early detection. Most of the automatic diagnosis methods in the literature are based on(More)
We present a novel shape-aware method for synthesizing 2D and 3D discrete element textures consisting of collections of distinct vector graphics objects. Extending the long-proven point process framework, we propose a shape process, a novel stochastic model based on spatial measurements that fully take into account the geometry of the elements. We(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)
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)
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)
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 parameterfree method to(More)