Details
Original language | English |
---|---|
Pages (from-to) | 471-482 |
Number of pages | 12 |
Journal | Image sequence processing and dynamic scene analysis |
Publication status | Published - 1983 |
Abstract
Basic algorithms for image segmentation like contour detection and texture discrimination have mostly been derived from optimizations of mathematically defined quality criteria. This paper describes new approaches to the development of algorithms for image segmentation based on properties of the human visual system. - Author
ASJC Scopus subject areas
- Environmental Science(all)
- General Environmental Science
- Earth and Planetary Sciences(all)
- General Earth and Planetary Sciences
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In: Image sequence processing and dynamic scene analysis, 1983, p. 471-482.
Research output: Contribution to journal › Article › Research › peer review
}
TY - JOUR
T1 - Image segmentation considering properties of the human visual system.
AU - Liedtke, C. E.
PY - 1983
Y1 - 1983
N2 - Basic algorithms for image segmentation like contour detection and texture discrimination have mostly been derived from optimizations of mathematically defined quality criteria. This paper describes new approaches to the development of algorithms for image segmentation based on properties of the human visual system. - Author
AB - Basic algorithms for image segmentation like contour detection and texture discrimination have mostly been derived from optimizations of mathematically defined quality criteria. This paper describes new approaches to the development of algorithms for image segmentation based on properties of the human visual system. - Author
UR - http://www.scopus.com/inward/record.url?scp=0021085352&partnerID=8YFLogxK
U2 - 10.1007/978-3-642-81935-3_24
DO - 10.1007/978-3-642-81935-3_24
M3 - Article
AN - SCOPUS:0021085352
SP - 471
EP - 482
JO - Image sequence processing and dynamic scene analysis
JF - Image sequence processing and dynamic scene analysis
ER -