Reflections Removal Using K-Means Clustering

  • Yossra H Ali Department of Computer Sciences, University of Technology, Baghdad-Iraq.
  • Maisa` S Mohsen Department of Computer Sciences, University of Technology, Baghdad-Iraq.
Keywords: superimposed image, layer separation, reflection removal, background layer and K-means

Abstract

The reflection generated from the semi reflectors (glass windows) affects the algorithm efficiency of the computer vision. It is a naturally hard problem to separate a single overlapped image into a reflection image and a transmission image, which is a kind of blind separation problems. This paper presents an automatic algorithm to separate the reflected and the transmitted components of a single superimposed image by clustering mixture pixels. Various examples are tested to validate the effectiveness of the proposal algorithm. Experimental results proved that the proposed algorithm can produce acceptable results.

 

Published
2018-09-01
How to Cite
Ali, Y., & Mohsen, M. (2018). Reflections Removal Using K-Means Clustering. Al-Nahrain Journal of Science, 21(3), 162-168. Retrieved from https://anjs.edu.iq/index.php/anjs/article/view/1758
Section
Articles