Adaptive Window Selection for Non-uniform Lighting Image Thresholding

Authors

  • Tapaswini Pattnaik Department of Electronics and Telecommunication Engg. C. V. Raman Global University, Bhubaneswar, India
  • Priyadarshi Kanungo Department of Electronics and Telecommunication Engg. C. V. Raman College of Engineering, Bhubaneswar, India

Abstract

Selection of appropriate size of windows or subimages is the most important step for thresholding images with non-uniform lighting. In this paper, a novel criteria function is developed to partition images into different size of sub images appropriate for thresholding. After the partitioning, each subimage is segmented by Otsu’s thresholding approaches. The performance of the proposed method is validated on benchmark test images with different degree of uneven lighting. Based on the qualitative and quantitative measures, the  proposed method is fully automatic, fast and efficient in comparison to many landmark approaches.

Keywords

Image Analysis and Processing, Separation and Segmentation, Thresholding, Non-uniform Lighting, Local thresholding, Bimodal distri

Author Biography

Tapaswini Pattnaik, Department of Electronics and Telecommunication Engg. C. V. Raman Global University, Bhubaneswar, India

ETC

Published

19-01-2021

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