Image segmentation and object extraction based on geometric features of regions

Proceedings of SPIE - the International Society for Optical Engineering Volume 3653 Page 937-945 published_at 1999-01
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Title ( eng )
Image segmentation and object extraction based on geometric features of regions
Creator
Yamamura Tsuyoshi
Ohnishi Noboru
Source Title
Proceedings of SPIE - the International Society for Optical Engineering
Volume 3653
Start Page 937
End Page 945
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.
Keywords
image segmentation
object extraction
object-region
geometric feature
split and merge
NDC
Electrical engineering [ 540 ]
Language
eng
Resource Type conference paper
Publisher
Society of Photo-Optical Instrumentation Engineers.
Date of Issued 1999-01
Rights
Copyright (c) 1999 Society of Photo-Optical Instrumentation Engineers.
Publish Type Author’s Original
Access Rights open access
Source Identifier
[NCID] AA10619755
[ISSN] 0277-786X