English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Plus monthly

Global: Zendy Tools annual

Global: Zendy Tools monthly

Global: Zendy Free Plan

The field of image processing has made significant progress in the quantitative analysis of biomedical images over the last 30 years. Scientists are collecting large amount of electron microscopy image data to gain a better understanding of neuron organization. However, many of the image data are distorted by artificial light intensity inhomogeneity, such as magnetic resonance imaging (MRI), computed tomography (CT), X-ray, transmission electron microscopy (TEM), etc. In this paper, we propose a novel automatically non-uniformity correction method, which can estimate the illumination field using image intensity gradients and spatial information. The proposed method is very fast to compute, and the result is better than the state-of-the-art methods. Based on the intensity gradients in medical images, we proposed a non-parametric approach for the automatic illumination correction. The experiments demonstrate that the proposed method is not only faster, but also can eliminate the non-uniformity well.

Automatic Correction of Intensity Inhomogeneities from Transmission Distribution in Medical Images