Search Results - "Edwin Carlinet"

MToS: A Tree of Shapes for Multivariate Images by Carlinet, Edwin, Geraud, Thierry

“…The topographic map of a gray-level image, also called tree of shapes, provides a high-level hierarchical representation of the image contents. This…”
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Automatic vectorization of historical maps: A benchmark by Chen, Yizi, Chazalon, Joseph, Carlinet, Edwin, Ôn Vũ Ngoc, Minh, Mallet, Clément, Perret, Julien

“…Shape vectorization is a key stage of the digitization of large-scale historical maps, especially city maps that exhibit complex and valuable details. Having…”
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A Comparative Review of Component Tree Computation Algorithms by Carlinet, Edwin, Geraud, Thierry

“…Connected operators are morphological tools that have the property of filtering images without creating new contours and without moving the contours that are…”
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Max-tree Computation on GPUs by Carlinet, Edwin, Blin, Nicolas, Lemaitre, Florian, Lacassagne, Lionel, Geraud, Thierry

“…In Mathematical Morphology, the max-tree is a region-based representation that encodes the inclusion relationship of the threshold sets of an image. This tree…”
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Hierarchical Segmentation Using Tree-Based Shape Spaces by Yongchao Xu, Carlinet, Edwin, Geraud, Thierry, Najman, Laurent

“…Current trends in image segmentation are to compute a hierarchy of image segmentations from fine to coarse. A classical approach to obtain a single meaningful…”
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The Dahu graph-cut for interactive segmentation on 2D/3D images by Ôn Vũ Ngọc, Minh, Carlinet, Edwin, Fabrizio, Jonathan, Géraud, Thierry

“…•An efficient method to compute the Dahu pseudo-distance on multivariate images.•A new interactive segmentation method (based on the Dahu…”
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Estimation of the noise level function for color images using mathematical morphology and non-parametric statistics by Esteban, Baptiste, Tochon, Guillaume, Carlinet, Edwin, Verna, Didier

“…Noise level information is crucial for many image processing tasks, such as image denoising. To estimate it, it is necessary to find homegeneous areas within…”
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Automatic vectorization of historical maps: A benchmark by Yizi Chen, Joseph Chazalon, Edwin Carlinet, Minh Ôn Vũ Ngoc, Clément Mallet, Julien Perret

“…Shape vectorization is a key stage of the digitization of large-scale historical maps, especially city maps that exhibit complex and valuable details. Having…”
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The Tree of Shapes Turned into a Max-Tree: A Simple and Efficient Linear Algorithm by Carlinet, Edwin, Crozet, Sebastien, Geraud, Thierry

“…The Tree of Shapes (ToS) is a morphological, tree-based representation of an image, translating the inclusion of its level lines. It features many invariants…”
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A Morphological Tree of Shapes for Color Images by Carlinet, Edwin, Geraud, Thierry

“…In mathematical morphology the tree of shapes of a gray level image is a versatile representation that allows for multiple powerful applications. That…”
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Getting a morphological tree of shapes for multivariate images: Paths, traps, and pitfalls by Carlinet, Edwin, Geraud, Thierry

“…The tree of shapes is a morphological tree that provides an high-level hierarchical representation of the image suitable for many image processing tasks. This…”
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Meaningful disjoint level lines selection by Yongchao Xu, Carlinet, Edwin, Geraud, Thierry, Najman, Laurent

“…Many methods based on the morphological notion of shapes (i.e., connected components of level sets) have been proved to be very efficient in shape recognition…”
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Linear Object Detection in Document Images using Multiple Object Tracking by Bernet, Philippe, Chazalon, Joseph, Carlinet, Edwin, Bourquelot, Alexandre, Puybareau, Elodie

“…Linear objects convey substantial information about document structure, but are challenging to detect accurately because of degradation (curved, erased) or…”
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A Benchmark of Nested Named Entity Recognition Approaches in Historical Structured Documents by Tual, Solenn, Abadie, Nathalie, Chazalon, J, Duménieu, Bertrand, Carlinet, Edwin

“…Named Entity Recognition (NER) is a key step in the creation of structured data from digitised historical documents. Traditional NER approaches deal with flat…”
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Entry Separation using a Mixed Visual and Textual Language Model: Application to 19th century French Trade Directories by Duménieu, Bertrand, Carlinet, Edwin, Abadie, Nathalie, Chazalon, Joseph

“…When extracting structured data from repetitively organized documents, such as dictionaries, directories, or even newspapers, a key challenge is to correctly…”
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A Proof of the Tree of Shapes in n-D by GÉraud, Thierry, Boutry, Nicolas, Crozet, Sébastien, Carlinet, Edwin, Najman, Laurent

“…In this paper, we prove that the self-dual morphological hierarchical structure computed on a n-D gray-level wellcomposed image u by the algorithm of…”
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Combining Deep Learning and Mathematical Morphology for Historical Map Segmentation by Chen, Yizi, Carlinet, Edwin, Chazalon, Joseph, Mallet, Clément, Duménieu, Bertrand, Perret, Julien

“…The digitization of historical maps enables the study of ancient, fragile, unique, and hardly accessible information sources. Main map features can be…”
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Morphological object picking based on the color tree of shapes by Carlinet, Edwin, Geraud, Thierry

“…The Tree of Shapes is a self-dual and contrast invariant morphological tree that provides a high-level hierarchical representation of images, suitable for many…”
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A fair comparison of many max-tree computation algorithms (Extended version of the paper submitted to ISMM 2013 by Carlinet, Edwin, Géraud, Thierry

“…With the development of connected filters for the last decade, many algorithms have been proposed to compute the max-tree. Max-tree allows to compute the most…”
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ICDAR 2021 Competition on Historical Map Segmentation by Chazalon, Joseph, Carlinet, Edwin, Chen, Yizi, Perret, Julien, Duménieu, Bertrand, Mallet, Clément, Géraud, Thierry, Nguyen, Vincent, Nguyen, Nam, Baloun, Josef, Lenc, Ladislav, Král, Pavel

“…This paper presents the final results of the ICDAR 2021 Competition on Historical Map Segmentation (MapSeg), encouraging research on a series of historical…”
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