<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>Shade effect is a defect of the images very often invisible for human vision perception but may cause difficulties in proper image processing and object detection especially if the aim of the task is to proceed detection and quantitative analysis of the objects. There are several methods in image processing systems or presented in the literature, however some of them introduce unexpected changes in the images, what may interfere the final quantitative analysis. In order to solve this problem, authors proposed a new method for shade correction, which is based on simulation of the image background based on analytical methods which return pixel values representing smooth grey level changes. Comparison of the effects of correction by applying standard methods and the method proposed are presented.</p>
</abstract>

Shade effect is a defect of the images very often invisible for human vision perception but may cause difficulties in proper image processing and object detection especially if the aim of the task is to proceed detection and quantitative analysis of the objects. There are several methods in image processing systems or presented in the literature, however some of them introduce unexpected changes in the images, what may interfere the final quantitative analysis. In order to solve this problem, authors proposed a new method for shade correction, which is based on simulation of the image background based on analytical methods which return pixel values representing smooth grey level changes. Comparison of the effects of correction by applying standard methods and the method proposed are presented.

Comparison of Selected Shading Correction Methods

System Safety: Human - Technical Facility - Environment

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

{"article-title":"Comparison of Selected Shading Correction Methods"}

Shade effect is a defect of the images very often invisible for human vision perception but may cause difficulties in proper image processing and object...

Comparison of Selected Shading Correction Methods

Publicado en línea: 28 mar 2019

Páginas: 819 - 826

Recibido: 18 nov 2018

Aceptado: 07 ene 2019

DOI: https://doi.org/10.2478/czoto-2019-0105

Palabras clave
image analysis, shade correction, image distortion

© 2019 Aneta Gądek-Moszczak et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Comparison of Selected Shading Correction Methods

Publicado en línea: 28 mar 2019

Páginas: 819 - 826

Recibido: 18 nov 2018

Aceptado: 07 ene 2019

DOI: https://doi.org/10.2478/czoto-2019-0105

Palabras claveimage analysis, shade correction, image distortion

© 2019 Aneta Gądek-Moszczak et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Palabras clave
image analysis, shade correction, image distortion