International audienceOptimizing connected component labeling is currently a very active research field. Some teams claim to have design the fastest algorithm ever designed. This paper presents a review of these algorithms and a enhanced benchmark that improve classical random images benchmark with a varying granularity set of random images in order to become closer to natural image behavior
International audienceConnected components labeling and analysis for dense images have been extensiv...
International audienceThe paper introduces the parallel version of the Light Speed Labeling (LSL) an...
In this paper we propose a new paradigm for connected components labeling, which employs a general a...
Abstract—Optimizing connected component labeling is cur-rently a very active research field. Some te...
International audienceOptimizing connected component labeling is currently a very active research fi...
International audience—Optimizing connected component labeling is cur-rently a very active research ...
This paper presents two strategies that can be used to improve the speed of Connected Components Lab...
The problem of labeling the connected components of a binary image is well-defined and several propo...
This paper presents two new strategies to speed up connectedcomponent labeling algorithms. The first...
International audienceIn the last decade, many papers have been published to present sequential conn...
The problem of labeling the connected components (CCL) of a binary image is well-defined and several...
Connected Components Labeling (CCL) represents an essential part of many Image Processing and Comput...
International audienceConnected components labeling and analysis for dense images have been extensiv...
International audienceThe paper introduces the parallel version of the Light Speed Labeling (LSL) an...
In this paper we propose a new paradigm for connected components labeling, which employs a general a...
Abstract—Optimizing connected component labeling is cur-rently a very active research field. Some te...
International audienceOptimizing connected component labeling is currently a very active research fi...
International audience—Optimizing connected component labeling is cur-rently a very active research ...
This paper presents two strategies that can be used to improve the speed of Connected Components Lab...
The problem of labeling the connected components of a binary image is well-defined and several propo...
This paper presents two new strategies to speed up connectedcomponent labeling algorithms. The first...
International audienceIn the last decade, many papers have been published to present sequential conn...
The problem of labeling the connected components (CCL) of a binary image is well-defined and several...
Connected Components Labeling (CCL) represents an essential part of many Image Processing and Comput...
International audienceConnected components labeling and analysis for dense images have been extensiv...
International audienceThe paper introduces the parallel version of the Light Speed Labeling (LSL) an...
In this paper we propose a new paradigm for connected components labeling, which employs a general a...