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Contour detection and optimisation can be time-consuming tasks of the model-based mJSW measurement, which might limit the use in clinical evaluation studies.
The detailed IS/OS contour detection method illustrated in Fig. 4 where the detected IS/OS contour is shown as the yellow contour in Fig. 4d.
The experimental results show that the developed contour detection system of the pipeline is an effective instrument to detect the deformation of oil and gas pipelines.
Beucher, S. & Lantúejoul, C. Use of watersheds in contour detection.
First download the Berkeley contour detection code here (BSR_code.tgz).tgz
Reconstructive Sparse Code Transfer for Contour Detection and Semantic Labeling.
Van Humbeeck, N. et al. The role of eye movements in a contour detection task.
A model-based algorithm for intraluminal contour detection has been developed in order to allow an accurate quantitative image analysis.
These measurements result in a great number of images for which automatic contour detection is very helpful.
We also evaluate and compare the performances of the CORF and GF (Gabor Filter) models regarding contour detection, using two public data sets of images of natural scenes with associated contour ground truths.
We demonstrate performance competitive with state-of-the-art contour detection systems and promising initial results on semantic part labeling of human faces, without any form of hand-designed features or filters.
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