Methods for biological-environmental data analysis by morphological filters(like DPT.)

2015 Fiscal Year Final Research Report

• Project/Area Number: 25420422
• Research Category: Grant-in-Aid for Scientific Research (C)
• Allocation Type: Multi-year Fund
• Section: 一般
• Research Field: Measurement engineering
• Research Institution: Kinki University
• Principal Investigator: KIKKAWA Sho 近畿大学, 生物理工学部, 研究員 (30075329)
• Co-Investigator(Kenkyū-buntansha): YOSHIDA Hisashi 近畿大学, 生物理工学部, 教授 (50278735) ; NAKASAKO Noboru 近畿大学, 生物理工学部, 教授 (90188920) ; KOHAMA Takeshi 近畿大学, 生物理工学部, 准教授 (90295577)
• Project Period (FY): 2013-04-01 – 2016-03-31
• Keywords: Morphological フィルタ / DPT / 生体環境信号 / 眼球運動 / saccade / medianフィルタ / 形状保存フィルタ

Outline of Final Research Achievements

(1) We introduced L and U filters having not been well-known as morphological filters and the digital pulse transform (DPT) constructed of L and U filters. (2) We proposed a new method for detecting randomly generated signals buried in noise, in particular, a new method to detect saccades in human eye movement data. We attained error-free detection of the saccades by this method which has not been achieved by traditional linear filters. This method can be widely applied to detection problems in biomedical environmental data processing. (3) Agaist the commomly accepted theory that median filtering outperforms traditional linear filtering in preserving signal edges while reducing noise, we theoretically proved that moving average filter is a better smoother preserving signal edges than the median filter under a practical wide range condition.

Free Research Field

情報工学