This paper presents a similarity metric on multimodal images utilizing curves as comparing primitives. Curves are detected from images, and then junctions ...
This paper proposes a robust similarity metric based on partitioned curves without dealing with partial matching. Edges are divided into subcurves, and then a ...
A visual similarity metric based on precision–recall graphs is presented as an alternative to the widely used Hausdorff distance, and is found to be more ...
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What is the Hausdorff distance of image similarity?
What is Hausdorff based image comparison?
Hausdorff distance (HD) is a popular similarity metric used in the comparison of images or 3D volumes. ... Hausdorff-metric-based comparison measures. Show ...
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Oct 22, 2024 · The similarity measurements between images are used in many domains such as content-based image retrieval [2], image classification [3] ...
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Aug 12, 2015 · In this section, we present three distance metrics, namely the Hausdorff distance, the Average distance and the Mahalanobis distance. All ...
A new binary image comparison method that uses a windowed Hausdorff distance enables local dissimilarities to be quantified in a simple way.
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A Similarity Metric for Multimodal Images Based on Modified Hausdorff Distance ... This paper presents a similarity metric on multimodal images utilizing ...
Hausdorff distance (HD) is a popular similarity metric used in the comparison of images or 3D volumes. Although popular, its main weakness is computing ...
Abstract—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 ...