Share Email Print

Proceedings Paper

Image segmentation and object extraction based on geometric features of regions
Author(s): Toru Tamaki; Tsuyoshi Yamamura; Noboru Ohnishi
Format Member Price Non-Member Price
PDF $17.00 $21.00

Paper Abstract

We propose a method for segmenting a color image into object- regions each of which corresponds to the projected region of each object in the scene onto an image plane. In conventional segmentation methods, it is not easy to extract an object- region as one region. Our proposed method uses geometric features of regions. At first, the image is segmented into small regions. Next, the geometric features such as inclusion, area ratio, smoothness, and continuity, are calculated for each region. Then the regions are merged together based on the geometric features. This merging enables us to obtain an object-region even if the surface of the object is textured with a variety of reflectances; this isn't taken into account in conventional segmentation methods. We show experimental results demonstrating the effectiveness of the proposed method.

Paper Details

Date Published: 28 December 1998
PDF: 9 pages
Proc. SPIE 3653, Visual Communications and Image Processing '99, (28 December 1998); doi: 10.1117/12.334746
Show Author Affiliations
Toru Tamaki, Nagoya Univ. (Japan)
Tsuyoshi Yamamura, Aichi Prefectural Univ. (Japan)
Noboru Ohnishi, Nagoya Univ. (Japan) and RIKEN--The Institute of Physical and Chemical Research (Japan)

Published in SPIE Proceedings Vol. 3653:
Visual Communications and Image Processing '99
Kiyoharu Aizawa; Robert L. Stevenson; Ya-Qin Zhang, Editor(s)

© SPIE. Terms of Use
Back to Top