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Reduce Noise in Computed Tomography Image using Adaptive Gaussian Filter
One image processing application that is very helpful for humans is to i...
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An Estimation Method of Measuring Image Quality for Compressed Images of Human Face
Nowadays digital image compression and decompression techniques are very...
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Dataset of Segmented Nuclei in Hematoxylin and Eosin Stained Histopathology Images of 10 Cancer Types
The distribution and appearance of nuclei are essential markers for the ...
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SEGMENT3D: A Web-based Application for Collaborative Segmentation of 3D images used in the Shoot Apical Meristem
The quantitative analysis of 3D confocal microscopy images of the shoot ...
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IEOPF: An Active Contour Model for Image Segmentation with Inhomogeneities Estimated by Orthogonal Primary Functions
Image segmentation is still an open problem especially when intensities ...
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Real-time Prediction of Segmentation Quality
Recent advances in deep learning based image segmentation methods have e...
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Content-Aware Unsupervised Deep Homography Estimation
Robust homography estimation between two images is a fundamental task wh...
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On the segmentation of astronomical images via level-set methods
Astronomical images are of crucial importance for astronomers since they contain a lot of information about celestial bodies that can not be directly accessible. Most of the information available for the analysis of these objects starts with sky explorations via telescopes and satellites. Unfortunately, the quality of astronomical images is usually very low with respect to other real images and this is due to technical and physical features related to their acquisition process. This increases the percentage of noise and makes more difficult to use directly standard segmentation methods on the original image. In this work we will describe how to process astronomical images in two steps: in the first step we improve the image quality by a rescaling of light intensity whereas in the second step we apply level-set methods to identify the objects. Several experiments will show the effectiveness of this procedure and the results obtained via various discretization techniques for level-set equations.
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