Results 161 to 170 of about 8,755 (208)

Automated quantitative analysis of osteoclast numbers and areas in cell culture plates using the YOLOv8 instance segmentation model. [PDF]

MethodsX
Huang J, Li Z, Ouyang J, Li J, Fan Y, Huang D, Dong M, Jin F, Lu Y.   +8 more
europepmc   +1 more source

A MultiRater MultiOrgan Abdominal CT Dataset for Calibration Analysis and Uncertainty Modeling in Segmentation. [PDF]

Sci Data
Riera-Marin M, Kleiss JM, Aubanell A, Antolin A, Moreno-Vedia J, Rodriguez-Comas J, O K S, May M, Garcia-Lopez J, Galdran A, González Ballester MA.   +10 more
europepmc   +1 more source

Between shapes, using the Hausdorff distance

Computational Geometry: Theory and Applications, 2022
Given two shapes $A$ and $B$ in the plane with Hausdorff distance $1$, is there a shape $S$ with Hausdorff distance $1/2$ to and from $A$ and $B$? The answer is always yes, and depending on convexity of $A$ and/or $B$, $S$ may be convex, connected, or disconnected. We show that our result can be generalised to give an interpolated shape between $A$ and
Marc Van Kreveld, Tillmann Miltzow, Tim Ophelders   +2 more
exaly   +10 more sources

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A Generalization of the Averaged Hausdorff Distance

Computación y Sistemas, 2018
The averaged Hausdorff distance p is aninframetric which has been recently used in evolutionary multiobjective optimization (EMO). In this paper we introduce a new two-parameter performance indicator p,q which generalizes p as well as the standard Hausdorff distance.
Andrés Vargas, Johan Bogoya
openaire   +1 more source

Hausdorff Distance for Iris Recognition

2007 IEEE 22nd International Symposium on Intelligent Control, 2007
Iris is a promising biometric due to its high reliability and stability. In this paper, a novel iris recognition technique based on Hausdorff distance is proposed. A modified partial Hausdorff distance (a dissimilarity measure) is computed directly between the normalized iris images for comparison and no feature is extracted explicitly.
Natarajan Sudha, Yung Ho Kenny Wong
openaire   +1 more source

Hausdorff distance for target detection

2002 IEEE International Symposium on Circuits and Systems. Proceedings (Cat. No.02CH37353), 2003
The paper presents a system for target detection in static images based on the Hausdorff distance. The Hausdorff distance can determine the degree of resemblance between an image and a model. As such, the proposed system uses this distance as a cost function for the template matching task.
GASTALDO, PAOLO, ZUNINO, RODOLFO
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A new Hausdorff distance for image matching

Pattern Recognition Letters, 2005
Object matching in two-dimensional images has been an important topic in computer vision, object recognition, and image analysis. The Hausdorff distance plays an important role in image matching. In order to deal with image matching problems in random noisy situations, a new Hausdorff distance is proposed in this paper.
Yong Deng
exaly   +2 more sources

Comparing images using the Hausdorff distance

IEEE Transactions on Pattern Analysis and Machine Intelligence, 1993
The Hausdorff distance measures the extent to which each point of a model set lies near some point of an image set and vice versa. Thus, this distance can be used to determine the degree of resemblance between two objects that are superimposed on one another.
D P Huttenlocher
exaly   +2 more sources