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First, a thick colon wall representation, ie, a volumetric mucosa (VM) with several voxels wide in general, was segmented from CTC images by a partial-volume image segmentation algorithm.
After this step, the image was segmented into regions of similar colour and texture using the image segmentation algorithm presented in [36], which involves colour quantisation and region growing and merging at multiple scales.
Such tools are required to assess whether image segments are based on 'real' objects, such as field boundaries, or on artefacts of the image segmentation algorithm.
Results indicate that the improved image segmentation algorithm segregates the target and background effectively.
An efficient graph-based image segmentation algorithm known also as the local variation algorithm (LV).
We propose a novel image segmentation algorithm using piecewise smooth (PS) approximation to image.
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After an image pre-processing stage that includes hair removal filtering, each image is automatically segmented using well known image segmentation algorithms.
A methodology is presented for making use of ground truth, human-segmented image data sets to compare, develop and optimize image segmentation algorithms.
There are many video image segmentation algorithms of different applications.
Some image segmentation algorithms are specific to color images [19, 181].
Sweden, Canada, and Finland research image segmentation algorithms based on machine vision [1 7].
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com