Spectral methods in image segmentation: A combined approach

• Type: Article in International Scientific Journal
• Date: 2005

Authors

monteiro, fc (Author) Other; monteiro, fc (Author) Other; campilho, ac (Author) FEUP

Indexing

ISI Web of Knowledge - 2 Citations

Scopus - 1 Citation

Other information

Authenticus ID: P-000-6DN

DOI: 10.1007/11492542_24

Abstract (EN): Grouping and segmentation of images remains a challenging problem in computer vision. Recently, a number of authors have demonstrated a good performance on this task using spectral methods that are based on the eigensolution of a similarity matrix. In this paper, we implement a variation of the existing methods that combines aspects from several of the best-known eigenvector segmentation algorithms to produce a discrete optimal solution of the relaxed continuous eigensolution.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 8