1 July 2000 Morphological image segmentation for realistic image representation preserving semantic object shapes
Author Affiliations +
Optical Engineering, 39(7), (2000). doi:10.1117/1.602575
Abstract
As an attempt to achieve realistic image representation, an efficient segmentation algorithm is proposed. The proposed method aims to represent homogeneous visual objects with few regions while preserving the semantic contents of an image as much as possible. This strategy is quite useful for a typical ''head and shoulder" video sequence, since visually homogeneous objects occupy large portions of the image. For this objective, we adopt a bottom-up approach using spatial domain information only. Initially, precise initial image segmentation is performed using an efficient marker extraction algorithm. Then, we classify the initially segmented regions by gradients, and apply an ordered region-merging algorithm to each class to reduce the number of regions. Finally, we eliminate redundant small regions by considering their neighborhoods. Experimental results show that the segmentation result can be a well self-contained representation of an image since it preserves most of the perceptually important image components.
Hyun Sang Park, Jong Beom Ra, "Morphological image segmentation for realistic image representation preserving semantic object shapes," Optical Engineering 39(7), (1 July 2000). http://dx.doi.org/10.1117/1.602575
JOURNAL ARTICLE
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KEYWORDS
Image segmentation

Visualization

Image processing algorithms and systems

Image classification

Radium

Image filtering

Optical engineering

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