Abstract- This paper presents an improvement over a pre-vious contour closure algorithm. Assuming that edge points are given as input, the proposed approach consists of two steps. Similarly than the previous approach, the minimum spanning tree of a partially connected graph is initially com-puted. Then, a morphological filter removes noisy links and finally open contours are closed by minimizing a linking cost function. Advantages of the proposed technique lie in the lack of user defined thresholds and non-dependency of edge point density. Experimental results with synthetic and real range images are presented showing encouraging results with uniform and non-uniform edge points ’ distribution
Edge contour extraction plays an important role in computer vision because edge contours are relativ...
Contour completion plays an important role in visual perception, where the goal is to group fragment...
International audienceActive contours and minimal paths have been extensively studied theoretical to...
Summary. This chapter presents an efficient technique for linking edge points in order to generate a...
This chapter presents an e±cient technique for linking edge points in order to generate a closed co...
Abstract—We present ratio contour, a novel graph-based method for extracting salient closed boundari...
In this paper, we present a new method for segmenting closed contours. Our work builds on a variant ...
In this paper we present a novel edge detection algorithm for range images based on a scan line appr...
Contour trees are used when high-dimensional data are preprocessed for efficient extraction of isoco...
Abstract: In this paper, an approach for the reduction of unwanted edges in contour detection based ...
Contour trees are used when high-dimensional data are preprocessed for efficient extraction of isoco...
In this paper, a new scheme for extracting a closed contour of some object given one initial point i...
AbstractContour trees are used when high-dimensional data are preprocessed for efficient extraction ...
Edge contour extraction plays an important role in computer vision because edge contours are relativ...
We address the problem of finding a set of contour curves in an image. We consider the problem of pe...
Edge contour extraction plays an important role in computer vision because edge contours are relativ...
Contour completion plays an important role in visual perception, where the goal is to group fragment...
International audienceActive contours and minimal paths have been extensively studied theoretical to...
Summary. This chapter presents an efficient technique for linking edge points in order to generate a...
This chapter presents an e±cient technique for linking edge points in order to generate a closed co...
Abstract—We present ratio contour, a novel graph-based method for extracting salient closed boundari...
In this paper, we present a new method for segmenting closed contours. Our work builds on a variant ...
In this paper we present a novel edge detection algorithm for range images based on a scan line appr...
Contour trees are used when high-dimensional data are preprocessed for efficient extraction of isoco...
Abstract: In this paper, an approach for the reduction of unwanted edges in contour detection based ...
Contour trees are used when high-dimensional data are preprocessed for efficient extraction of isoco...
In this paper, a new scheme for extracting a closed contour of some object given one initial point i...
AbstractContour trees are used when high-dimensional data are preprocessed for efficient extraction ...
Edge contour extraction plays an important role in computer vision because edge contours are relativ...
We address the problem of finding a set of contour curves in an image. We consider the problem of pe...
Edge contour extraction plays an important role in computer vision because edge contours are relativ...
Contour completion plays an important role in visual perception, where the goal is to group fragment...
International audienceActive contours and minimal paths have been extensively studied theoretical to...