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Using intensity histograms to estimate image thresholds is a long established practice in image processing and image analysis and a wide variety of techniques have been developed. Different techniques are appropriate for different intensity distributions. [...]

This document describes a filter called itkMultipleUnlabeledImagesToLabeledImageFilter, which takes multiple images as input and generates a single image of labeled pixels. Pixels to be labeled for each image are determined by an intensity threshold. [...]

Thresholding is perhaps one of the most basic techniques in image processing. The Insight Toolkit (ITK) includes several threshold filters ranging from simple ones to Otsu based thresholding. Deep into the implementation of the Canny edge detection filter, [...]

When an image is mostly composed of background pixels, most of the automatic
thresholding methods are failing to produce a relevant threshold. This is mainly
caused because one mode is over represented compared to the other in the histogram
of the image. [...]

The contribution to VTK presented in this article is an extension to vtk::vtkDiscreteMarchingCubes to also create vtk::vtkPointData scalars containing the value of the adjacent voxel. These can be used to remove regions of the marching-cubes 1 mesh depending [...]

Facet Analyser: ParaView plugin for automated facet detection and measurement of interplanar angles of tomographic objects
Published in The MIDAS Journal
Published in The MIDAS Journal
The presented ParaView plugin allows easy access to the algorithm described in Ref 1. It enables analysis of faceted objects that exhibit distortions in their digital representation, e.g. due to tomographic reconstruction artifacts.
The contributed [...]

Minimally Interactive Knowledge-based Coronary Tracking in CTA using a Minimal Cost Path
Published in The MIDAS Journal
Published in The MIDAS Journal
An algorithm for minimally interactive coronary artery tracking is presented. Tracking ability and accuracy results are demonstrated on 16 images CTA images.
First, a region of interest is automatically selected and a denoising filter applied. Then, for each [...]

An entropy based multi-thresholding method for semi-automatic segmentation of liver tumors
Published in The MIDAS Journal
Published in The MIDAS Journal
Liver cancer is the fifth most commonly diagnosed cancer and the third most common cause of death
from cancer worldwide. A precise analysis of the lesions would help in the staging of the tumor and
in the evaluation of the possible applicable therapies. In [...]
