Correction of uneven illumination in color microscopic image based on fully convolutional network

Volume: 29, Issue: 18, Pages: 28503 - 28503
Published: Aug 19, 2021
Abstract
The correction of uneven illumination in microscopic image is a basic task in medical imaging. Most of the existing methods are designed for monochrome images. An effective fully convolutional network (FCN) is proposed to directly process color microscopic image in this paper. The proposed method estimates the distribution of illumination information in input image, and then carry out the correction of the corresponding uneven illumination...
Paper Details
Title
Correction of uneven illumination in color microscopic image based on fully convolutional network
Published Date
Aug 19, 2021
Volume
29
Issue
18
Pages
28503 - 28503
Citation AnalysisPro
  • Scinapse’s Top 10 Citation Journals & Affiliations graph reveals the quality and authenticity of citations received by a paper.
  • Discover whether citations have been inflated due to self-citations, or if citations include institutional bias.