Image segmentation using region merging combined with a multi-class spectral method

• Type: Article in International Conference Proceedings Book
• Date: 2007

Authors

Fernando Monteiro (Author) FEUP; Aurélio Campilho (Author) FEUP

Conference proceedings International

Title: Proceedings of IAPR Conference on Machine Vision Applications, MVA 2007

Pages: 69-72

10th IAPR Conference on Machine Vision Applications, MVA 2007

Tokyo, 16 May 2007 through 18 May 2007

Indexing

Scopus - 0 Citations

Scientific classification

FOS: Engineering and technology > Electrical engineering, Electronic engineering, Information engineering

CORDIS: Technological sciences > Engineering > Electronic engineering

Other information

Authenticus ID: P-008-8N8

Abstract (EN): In this paper we propose an image segmentation algorithm that combines region merging with spectral-based techniques. An initial partitioning of the image into primitive regions is produced by applying a region merging approach which produces a chunk graph that takes in attention the image gradient magnitude. This initial partition is the input to a computationally efficient region segmentation process that produces the final segmentation. The latter process uses a multi-class partition that minimizes the normalized cut value for the region graph. We have efficiently applied the proposed approach with good visual and objective segmentation quality results.

Language: English

Type (Professor's evaluation): Scientific