Adaptive Window Selection for Non-uniform Lighting Image Thresholding
Pattnaik, Tapaswini (C. V. Raman Global Universityv (Bhubaneswar, Índia). Department of Electronics and Telecommunication Engg)
Kanungo, Priyadarshi (C. V. Raman Global Universityv (Bhubaneswar, Índia). Department of Electronics and Telecommunication Engg)

Data:	2021
Resum:	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.
Drets:	Aquest document està subjecte a una llicència d'ús Creative Commons. Es permet la reproducció total o parcial, la distribució, i la comunicació pública de l'obra, sempre que no sigui amb finalitats comercials, i sempre que es reconegui l'autoria de l'obra original. No es permet la creació d'obres derivades.
Llengua:	Anglès
Document:	Article ; recerca ; Versió publicada
Matèria:	Image analysis and processing ; Separation and segmentation ; Thresholding ; Non-uniform lighting ; Local thresholding ; Bimodal distri ; Image processing
Publicat a:	ELCVIA : Electronic Letters on Computer Vision and Image Analysis, Vol. 20 Núm. 1 (2021) , p. 42-54 (Regular Issue) , ISSN 1577-5097

Adreça original: https://elcvia.cvc.uab.es/article/view/v20-n1-Pattnaik
DOI: 10.5565/rev/elcvia.1301

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