all AI news
Cartoon-texture evolution for two-region image segmentation. (arXiv:2203.03513v2 [math.NA] UPDATED)
June 29, 2022, 1:12 a.m. | Laura Antonelli, Valentina De Simone, Marco Viola
cs.CV updates on arXiv.org arxiv.org
Two-region image segmentation is the process of dividing an image into two
regions of interest, i.e., the foreground and the background. To this aim, Chan
et al. [Chan, Esedo\=glu, Nikolova, SIAM Journal on Applied Mathematics 66(5),
1632-1648, 2006] designed a model well suited for smooth images. One drawback
of this model is that it may produce a bad segmentation when the image contains
oscillatory components. Based on a cartoon-texture decomposition of the image
to be segmented, we propose a new …
More from arxiv.org / cs.CV updates on arXiv.org
Eyes Wide Shut? Exploring the Visual Shortcomings of Multimodal LLMs
1 day, 16 hours ago |
arxiv.org
Jobs in AI, ML, Big Data
Data Architect
@ University of Texas at Austin | Austin, TX
Data ETL Engineer
@ University of Texas at Austin | Austin, TX
Lead GNSS Data Scientist
@ Lurra Systems | Melbourne
Senior Machine Learning Engineer (MLOps)
@ Promaton | Remote, Europe
Intern Large Language Models Planning (f/m/x)
@ BMW Group | Munich, DE
Data Engineer Analytics
@ Meta | Menlo Park, CA | Remote, US