Information enhancement method for image retrieval and object recognition

A. Rövid, T. Hashimoto, A. Várkonyi-Kóczy, Y. Shimodaira

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 publicationISCIII'07: 3rd International Symposium on Computational Intelligence and Intelligent Informatics; Proceedings
Pages25-29
Number of pages5
DOIs
Publication statusPublished - 2007
EventISCIII'07: 3rd International Symposium on Computational Intelligence and Intelligent Informatics - Agadir, Morocco
Duration: Mar 28 2007Mar 30 2007

Other

OtherISCIII'07: 3rd International Symposium on Computational Intelligence and Intelligent Informatics
CountryMorocco
CityAgadir
Period3/28/073/30/07

Fingerprint

Object recognition
Object Recognition
Image retrieval
Image Retrieval
Enhancement
Image understanding
Information retrieval
Image Understanding
Digital Image Processing
Image processing
Textures
Information Retrieval
Texture
Minor
Processing
Filter
Object

Keywords

  • Edge extraction
  • Features extraction
  • Image contours
  • Image processing
  • Image retrieval
  • Image smoothing
  • Image understanding
  • Information enhancement

ASJC Scopus subject areas

  • Artificial Intelligence
  • Software
  • Mathematics(all)

Cite this

Rövid, A., Hashimoto, T., Várkonyi-Kóczy, A., & Shimodaira, Y. (2007). Information enhancement method for image retrieval and object recognition. In ISCIII'07: 3rd International Symposium on Computational Intelligence and Intelligent Informatics; Proceedings (pp. 25-29). [4218390] https://doi.org/10.1109/ISCIII.2007.367357

Information enhancement method for image retrieval and object recognition. / Rövid, A.; Hashimoto, T.; Várkonyi-Kóczy, A.; Shimodaira, Y.

ISCIII'07: 3rd International Symposium on Computational Intelligence and Intelligent Informatics; Proceedings. 2007. p. 25-29 4218390.

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

Rövid, A, Hashimoto, T, Várkonyi-Kóczy, A & Shimodaira, Y 2007, Information enhancement method for image retrieval and object recognition. in ISCIII'07: 3rd International Symposium on Computational Intelligence and Intelligent Informatics; Proceedings., 4218390, pp. 25-29, ISCIII'07: 3rd International Symposium on Computational Intelligence and Intelligent Informatics, Agadir, Morocco, 3/28/07. https://doi.org/10.1109/ISCIII.2007.367357
Rövid A, Hashimoto T, Várkonyi-Kóczy A, Shimodaira Y. Information enhancement method for image retrieval and object recognition. In ISCIII'07: 3rd International Symposium on Computational Intelligence and Intelligent Informatics; Proceedings. 2007. p. 25-29. 4218390 https://doi.org/10.1109/ISCIII.2007.367357
Rövid, A. ; Hashimoto, T. ; Várkonyi-Kóczy, A. ; Shimodaira, Y. / Information enhancement method for image retrieval and object recognition. ISCIII'07: 3rd International Symposium on Computational Intelligence and Intelligent Informatics; Proceedings. 2007. pp. 25-29
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