@techreport{oai:kindai.repo.nii.ac.jp:00020628,
 author = {阿部, 孝司},
 month = {},
 note = {https://kaken.nii.ac.jp/grant/KAKENHI-PROJECT-16K00258/, 研究成果の概要（和文）：類似画像検索システムの向上を目的とし、本研究では以下の機能を実現させた。(1)図形商標を対象に「平行性」と「連続性」要因を持つ群化領域を認識する手法を提案した。(2)ベクタ画像を用いて「連続性」要因を考慮した類似検索手法を開発した。(3)胃X線像を用いて胃萎縮度を測定する手法を開発し、胃輪郭線の抽出に(1)を適用し有効性を示した。(4)映像からPCユーザのVDT作業時間を測定する手法を開発し、作業中のユーザを判別する前処理にあたる肌・メガネの抽出に(1)を適用し有効性を示した。(5)魚群映像を用いて瞬発遊泳シーンを検出する手法を開発し魚群行動を解析する手段に(1)の一部を適用し有効性を示した。研究成果の概要（英文）：To enhance performance of Content-based Image Retrieval (CBIR), the following subjects were investigated. (1) Using trademarks (black and white image), a method for recognizing grouping areas which have grouping factors of good continuity and parallelism was proposed and performance of the method was examined. Then, the method was improved by trials and errors. (2) Using vector images, a CBIR system for trademarks considering the factor of good continuity was developed. (3) In a computer-aided diagnosis for measuring stomach atrophy using X-ray images (gray image), the method of (1) was utilized to extract folds and boundary of stomach area. (4) A system for monitoring VDT work to a PC user using a webcam was developed, where the method of (1) was utilized to extract areas of human skin and eye glasses in moving images. (5) A method for detecting video scenes of burst swimming by fry was developed, where the method of (1) was utilized to analyzing fry school's motion in moving images., 研究種目：基盤研究(C);  研究期間：2016～2018;   課題番号：16K00258;   研究分野：メディア情報学;   科研費の分科・細目：, application/pdf},
 title = {群化知覚を考慮した画像検索システムの開発とその応用},
 year = {2019},
 yomi = {アベ, コウジ}
}