CBIR System Considering Gestalt's Grouping Factors for Image Regions

2015 Fiscal Year Final Research Report

• Project/Area Number: 25330214
• Research Category: Grant-in-Aid for Scientific Research (C)
• Allocation Type: Multi-year Fund
• Section: 一般
• Research Field: Perceptual information processing
• Research Institution: Kinki University
• Principal Investigator: ABE Koji 近畿大学, 理工学部, 准教授 (90367441)
• Project Period (FY): 2013-04-01 – 2016-03-31
• Keywords: 類似画像検索 / CBIR / ゲシュタルト心理学 / 群化 / パターン認識

Outline of Final Research Achievements

To enhance performance of CBIR for trademarks, the following subjects were investigated. Besides, to examine their performance more, the proposed methods were applied for pre-processing methods in medical image processing: (1) A model for measuring a grouping factor of good continuity was proposed and its performance was examined to trademarks (black and white image). Then, the model was improved by trials and errors, (2) In a computer-aided diagnosis (CAD) for stomach cancers using X-ray images (gray image), the model of (1) was utilized to extract folds and boundary of stomach area, (3) In a CAD for hemorrhoids using endoscopic images (color image), the model of (1) was utilized to extract congestive region in abnormal cases; and (4) A system for monitoring the VDT work to a PC user using a webcam was developed, where the proposed method of recognizing grouping areas including the model of (1) was utilized to extract an image feature from images obtained by the webcam.

Free Research Field

メディア情報学、人間工学