Semantic Scholar Open Access 2020 67 sitasi

A survey of recent interactive image segmentation methods

Hiba Ramadan Chaymae Lachqar H. Tairi

Lihat Sumber DOI

Abstrak

Image segmentation is one of the most basic tasks in computer vision and remains an initial step of many applications. In this paper, we focus on interactive image segmentation (IIS), often referred to as foreground-background separation or object extraction, guided by user interaction. We provide an overview of the IIS literature by covering more than 150 publications, especially recent works that have not been surveyed before. Moreover, we try to give a comprehensive classification of them according to different viewpoints and present a general and concise comparison of the most recent published works. Furthermore, we survey widely used datasets, evaluation metrics, and available resources in the field of IIS.

Topik & Kata Kunci

Computer Science

Penulis (3)

Hiba Ramadan

Chaymae Lachqar

H. Tairi

Format Sitasi

APA MLA BibTeX

Ramadan, H., Lachqar, C., Tairi, H. (2020). A survey of recent interactive image segmentation methods. https://doi.org/10.1007/s41095-020-0177-5

Akses Cepat

Lihat di Sumber doi.org/10.1007/s41095-020-0177-5

Informasi Jurnal

Tahun Terbit: 2020
Bahasa: en
Total Sitasi: 67×
Sumber Database: Semantic Scholar
DOI: 10.1007/s41095-020-0177-5
Akses: Open Access ✓