| Project/Area Number |
22700188
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| Research Category |
Grant-in-Aid for Young Scientists (B)
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| Allocation Type | Single-year Grants |
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| Research Field |
Perception information processing/Intelligent robotics
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| Research Institution | Kinki University |
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Principal Investigator |
ABE Koji 近畿大学, 理工学部, 准教授 (90367441)
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| Project Period (FY) |
2010 – 2011
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| Project Status |
Completed (Fiscal Year 2011)
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| Budget Amount *help |
¥2,730,000 (Direct Cost: ¥2,100,000、Indirect Cost: ¥630,000)
Fiscal Year 2011: ¥910,000 (Direct Cost: ¥700,000、Indirect Cost: ¥210,000)
Fiscal Year 2010: ¥1,820,000 (Direct Cost: ¥1,400,000、Indirect Cost: ¥420,000)
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| Keywords | 類似画像検索 / 群化 / 感性情報学 / パターン認識 / 医用画像処理 / 群化知覚 / CBIR / ゲシュタルト心理学 |
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| Research Abstract |
For the sake of enhancing performance of CBIRs(Content-Based Image Retrievals), the following concrete subjects were investigated. The subjects were proposed as functions of CBIRs and the proposed methods were applied to a CBIR of abstract trademark images and pre-processing methods in medical image processing in order to examine their performance as an application tool for various images.
(1) A model for measuring a grouping factor of good continuity was proposed.
(2) Using models for measuring proximity, shape similarity, closure, and good continuity, a method for producing grouping patterns for abstract images.
(3) In a computer-aided diagnosis for pneumoconiosis using chest X-ray images, the method of(2) was applied for removing noises except abnormal parts in chest area and the method was more effective for the removal than normal methods.
(4) In a computer-aided diagnosis for stomach cancers using X-ray images, the method of(1) was applied for conducting the binarization of folds in stomach area and the proposed method was effective for the binarization.
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