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Image Enhancement Employing Subjectivity Based Self-Organizing Relationship(SOR)Network
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- HORIO Keiichi
- Department of Control Engineering and Science, Kyushu Institute of Technology
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- HARAGUCHI Takuma
- Department of Control Engineering and Science, Kyushu Institute of Technology
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- YAMAKAWA Takeshi
- Department of Control Engineering and Science, Kyushu Institute of Technology
Bibliographic Information
- Other Title
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- 自己組織化関係ネットワークを用いた主観に基づく画像変換
- ジコ ソシキカ カンケイ ネットワーク オ モチイタ シュカン ニ モトヅク ガゾウ ヘンカン
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Description
In almost of conventional image enhancement methods, the intensity mapping curve based on the intensity histogram is generated, and the intensity of each pixel in an original image is transformed. In the process, the evaluation function is defined, and the intensity mapping curve is tuned in order to satisfy the function. However, user impression for an image is based on his subjectivity, it can not be represented by the objective evaluation function. In this paper, the Self-Organizing Relationship(SOR) network which can construct the input / output relationship based on the subjective evaluation, is proposed, and it is applied to obtain the relationship between the intensity histgram and intensity mapping curve base on the user subjectivity. The images transformed by the conventional methods and the proposed method are showed to seven users, almost users answered that the images transformed by the proposed method are suitable for their preference.
Journal
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- Journal of Biomedical Fuzzy Systems Association
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Journal of Biomedical Fuzzy Systems Association 1 (1), 79-86, 1999
Biomedical Fuzzy Systems Association
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Keywords
Details 詳細情報について
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- CRID
- 1390282679450532608
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- NII Article ID
- 110003930516
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- NII Book ID
- AA1145146X
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- ISSN
- 24242578
- 13451537
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- NDL BIB ID
- 5377641
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- Text Lang
- en
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- Data Source
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- JaLC
- NDL Search
- CiNii Articles
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- Abstract License Flag
- Disallowed