Fuzzy logic supported primary edge extraction in image understanding

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

Recently, the Importance of information enhancement methods in digital image processing has increased significantly. A large amount of research has been focused on information retrieval and Image understanding. Typical examples are searching for similar objects/images in large databases and understanding the objects in images. The main point of these tasks is to extract the most characteristic features of the objects in the images, like edges, corners, characteristic textures, etc. Another very important aspect can be the separation of the "significant" and "unimportant" parts of these features, i.e. the enhancement of those features which carry primary information and to filter out the part which represents information of minor importance. By this, the complexity of the searching and/or interpreting algorithms can be decreased while the performance increased. This paper describes a new edge processing method which is able to extract the "primary", i.e. those edges which can advantageously be used in sketch based image retrieval algorithms.

Original languageEnglish
Title of host publicationIEEE International Conference on Fuzzy Systems
Pages2177-2181
Number of pages5
DOIs
Publication statusPublished - 2008
Event2008 IEEE International Conference on Fuzzy Systems, FUZZ 2008 - Hong Kong, China
Duration: Jun 1 2008Jun 6 2008

Other

Other2008 IEEE International Conference on Fuzzy Systems, FUZZ 2008
CountryChina
CityHong Kong
Period6/1/086/6/08

Fingerprint

Image Understanding
Image understanding
Fuzzy Logic
Fuzzy logic
Image retrieval
Enhancement
Information retrieval
Digital Image Processing
Image processing
Textures
Image Retrieval
Information Retrieval
Texture
Minor
Processing
Filter
Object

ASJC Scopus subject areas

  • Software
  • Artificial Intelligence
  • Applied Mathematics
  • Theoretical Computer Science

Cite this

Várkonyi-Kóczy, A., & Rövid, A. (2008). Fuzzy logic supported primary edge extraction in image understanding. In IEEE International Conference on Fuzzy Systems (pp. 2177-2181). [4630671] https://doi.org/10.1109/FUZZY.2008.4630671

Fuzzy logic supported primary edge extraction in image understanding. / Várkonyi-Kóczy, A.; Rövid, A.

IEEE International Conference on Fuzzy Systems. 2008. p. 2177-2181 4630671.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Várkonyi-Kóczy, A & Rövid, A 2008, Fuzzy logic supported primary edge extraction in image understanding. in IEEE International Conference on Fuzzy Systems., 4630671, pp. 2177-2181, 2008 IEEE International Conference on Fuzzy Systems, FUZZ 2008, Hong Kong, China, 6/1/08. https://doi.org/10.1109/FUZZY.2008.4630671
Várkonyi-Kóczy A, Rövid A. Fuzzy logic supported primary edge extraction in image understanding. In IEEE International Conference on Fuzzy Systems. 2008. p. 2177-2181. 4630671 https://doi.org/10.1109/FUZZY.2008.4630671
Várkonyi-Kóczy, A. ; Rövid, A. / Fuzzy logic supported primary edge extraction in image understanding. IEEE International Conference on Fuzzy Systems. 2008. pp. 2177-2181
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