Graph clustering, variational image segmentation methods and Hough transform scale detection for object measurement in images
February 27, 2016 Β· Declared Dead Β· π Journal of Mathematical Imaging and Vision
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Authors
Luca Calatroni, Yves van Gennip, Carola-Bibiane SchΓΆnlieb, Hannah Rowland, Arjuna Flenner
arXiv ID
1602.08574
Category
math.AP
Cross-listed
cs.CV
Citations
32
Venue
Journal of Mathematical Imaging and Vision
Last Checked
3 months ago
Abstract
We consider the problem of scale detection in images where a region of interest is present together with a measurement tool (e.g. a ruler). For the segmentation part, we focus on the graph based method by Flenner and Bertozzi which reinterprets classical continuous Ginzburg-Landau minimisation models in a totally discrete framework. To overcome the numerical difficulties due to the large size of the images considered we use matrix completion and splitting techniques. The scale on the measurement tool is detected via a Hough transform based algorithm. The method is then applied to some measurement tasks arising in real-world applications such as zoology, medicine and archaeology.
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