International audienceIf one considers only local neighborhoods for segmenting an image, one gets contours whose strength is often poorly estimated. A method for reevaluating the contour strength by taking into account non local features is presented: one generates a fixed number of random germs which serve as markers for the watershed segmentation. For each new population of markers, another set of contours is generated. "Important" contours are selected more often. The present paper shows that the probability that a contour is selected can be estimated without performing the effective simulations. Copyright Springer-Verlag 2010. The original publication is available at www.springerlink.com/content/y057x103475301r2
We report the results of an experimental study in which human subjects are asked to demarcate the co...
Information fusion has been widely studied in the field of artificial intelligence. Information is g...
An unsupervised method for detecting smooth contours in digital images is proposed. Following the a...
International audienceWe present a segmentation strategy which first constructs a hierarchy, i.e. a ...
International audienceThe stochastic watershed is a probabilistic segmentation ap-proach which estim...
International audienceThe segmentation, seen as the association of a partition with an image, is a d...
International audienceStochastic watershed is an image segmentation technique based on mathematical ...
International audienceIn this paper, a probability density function of object contours based on the ...
Abstract This paper introduces a watershed-based stochastic segmentation methodology. The approach i...
The purpose of computerized image analysis is to extract meaningful information from digital images....
Title from caption. "April, 1998"--Cover.Includes bibliographical references (p. 52-54).Supported in...
The stochastic watershed is an unsupervised segmentation tool recently proposed by Angulo and Jeulin...
International audienceRecently, new segmentation models based on local information have emerged. The...
The stochastic watersheds algorithm was first proposed by Angulo and Jeulin (2007) as a marker-contr...
In this paper, we describe an unsupervised segmentation method for contours which proves quite adapt...
We report the results of an experimental study in which human subjects are asked to demarcate the co...
Information fusion has been widely studied in the field of artificial intelligence. Information is g...
An unsupervised method for detecting smooth contours in digital images is proposed. Following the a...
International audienceWe present a segmentation strategy which first constructs a hierarchy, i.e. a ...
International audienceThe stochastic watershed is a probabilistic segmentation ap-proach which estim...
International audienceThe segmentation, seen as the association of a partition with an image, is a d...
International audienceStochastic watershed is an image segmentation technique based on mathematical ...
International audienceIn this paper, a probability density function of object contours based on the ...
Abstract This paper introduces a watershed-based stochastic segmentation methodology. The approach i...
The purpose of computerized image analysis is to extract meaningful information from digital images....
Title from caption. "April, 1998"--Cover.Includes bibliographical references (p. 52-54).Supported in...
The stochastic watershed is an unsupervised segmentation tool recently proposed by Angulo and Jeulin...
International audienceRecently, new segmentation models based on local information have emerged. The...
The stochastic watersheds algorithm was first proposed by Angulo and Jeulin (2007) as a marker-contr...
In this paper, we describe an unsupervised segmentation method for contours which proves quite adapt...
We report the results of an experimental study in which human subjects are asked to demarcate the co...
Information fusion has been widely studied in the field of artificial intelligence. Information is g...
An unsupervised method for detecting smooth contours in digital images is proposed. Following the a...