A new threshold selection method for separation of objects and background

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A new threshold selection algorithm for objects and background separation using a histogram of the number of foreground regions was proposed. This method used a human separation method for objects and background, examined the changes in the number of foreground regions in the image with varying threshold and determined a proper threshold value. The proposed technique was applied to several images and was compared with other histogram-based segmentation methods. The possibility of extension to multi-level thresholding was also examined.
Publisher
OPTICAL SOC JAPAN
Issue Date
1995
Language
English
Article Type
Article
Keywords

HISTOGRAM

Citation

OPTICAL REVIEW, v.2, no.6, pp.444 - 448

ISSN
1340-6000
URI
http://hdl.handle.net/10203/68825
Appears in Collection
PH-Journal Papers(저널논문)
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