| Title | Spectral methods in image segmentation: A combined approach |
| Publication Type | Conference Paper |
| Year of Publication | 2005 |
| Authors | Monteiro, FC, Campilho, AC |
| Editor | J.S., M, de la N., PB, P., P |
| Conference Name | Lecture Notes in Computer ScienceLect. Notes Comput. Sci. |
| Date Published | 2005/// |
| Conference Location | Estoril |
| ISBN Number | 03029743 (ISSN) |
| Keywords | Algorithms, Computer vision, Discrete optimal solution, Eigensolution, Eigenvalues and eigenfunctions, Image segmentation, Matrix algebra, Problem solving, Similarity matrix, Spectral methods |
| Abstract | 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. © Springer-Verlag Berlin Heidelberg 2005. |
| URL | http://www.scopus.com/inward/record.url?eid=2-s2.0-25144437374&partnerID=40&md5=5b6351af4ac58a16c41b5558a48ae9e2 |
