Level set method with Retinex‐corrected saliency embedded for image segmentation

Autor:	Dongmei Liu, Faliang Chang, Huaxiang Zhang, Li Liu
Jazyk:	angličtina
Rok vydání:	2021
Předmět:	Other numerical methods Image recognition Computational geometry Computer vision and image processing techniques Photography TR1-1050 Computer software QA76.75-76.765
Zdroj:	IET Image Processing, Vol 15, Iss 7, Pp 1530-1541 (2021)
Druh dokumentu:	article
ISSN:	1751-9667 1751-9659
DOI:	10.1049/ipr2.12123
Popis:	Abstract It can be a very challenging task when using level set method segmenting natural images with high intensity inhomogeneity and complex background scenes. A new synthesis level set method for robust image segmentation based on the combination of Retinex‐corrected saliency region information and edge information is proposed in this work. First, the Retinex theory is introduced to correct the saliency information extraction. Second, the Retinex‐corrected saliency information is embedded into the level set method due to its advantageous quality which makes a foreground object stand out relative to the backgrounds. Combined with the edge information, the boundary of segmentation will be more precise and smooth. Experiments indicate that the proposed segmentation algorithm is efficient, fast, reliable, and robust.
Databáze:	Directory of Open Access Journals
Externí odkaz:	https://doaj.org/article/cd7bce297ff844f3b900668a71f525e2 Zobrazit plný text záznamu Plný text View record in DOAJ