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Dive into the research topics where Hideyo Nagashima is active.

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Featured researches published by Hideyo Nagashima.


Ultramicroscopy | 1997

The phase spectrum-based measurement of the TEM parameters

Norihiko Ichise; Norio Baba; Hideyo Nagashima

Abstract The phase spectrum-based method proposed by Koster et al. (Ultramicroscopy 27 (1989) 251) has experimentally been demonstrated by a computerized 200 kV transmission electron microscope with a slow-scan CCD camera system, which has theoretical advantages compared to other methods utilizing diffractograms. Crucial for the practical implementation of the method has been the addition of a linear phase term in the mathematical model made of the phase contrast transfer function to represent image drift. Moreover, to improve the accuracy of the method for measuring the TEM parameters (defocus, astigmatism and beam tilt misalignment), the model for least squares fitting was used in its full mathematical form without approximation by the DSB imaging model, neglecting the SSB imaging as was done in the original proposal. Experimental results of the TEM parameter measurements, defocus, astigmatism and beam tilt misalignment, by the phase spectrum-based method are demonstrated.


Proceedings of the Human Factors and Ergonomics Society Annual Meeting | 2000

Subjective Similarity of Trademarks Evaluated by Human Kansei

Taki Kanda; Hideyo Nagashima

In this paper we are concerned with human subjective similarity between trademarks. We have been studying retrieval of similar trademarks in which human visual mentality is reflected. In our studies data on human subjective evaluation of similarity based upon kansei are obtained by questionnaire and the obtained human evaluation data are used for retrieval of similar trademarks. For questionnaires on similarity between figures paper is usually used but here computerized questionnaires are proposed and comparisons are made between the results obtained by computer-administrated questionnaires and those administrated in written form. We also defined “certainty of subjective similarity” using entropy, which represents the certainty of kansei information on similarity of figures and a comparison between questionnaires by different media is made by using it.


The Journal of The Institute of Image Information and Television Engineers | 1987

A random pattern method for gray pictures in a high-speed processing time.

Yuji Nagashima; Mina Terauchi; Hideyo Nagashima

第2種スターリング数を用いたランダムパターン法の, 入・出力強度特性に線形変換特性を持たせ, 従来のランダムパターン法と比較して約36%程度の処理時間で中間調画像表示を行うごとが可能となった.


Ieej Transactions on Electronics, Information and Systems | 2003

A Classification for Trademark Images Using the Auto-correlation Function Graph Figure

Hideyo Nagashima; Shinnichirou Tsubaki; Jun Nakajima


IEE Proceedings E Computers and Digital Techniques | 1989

Improvement on Aberth's method for choosing initial approximations to zeros of polynomials

Yuji Nagashima; Taki Kanda; Hideyo Nagashima


The Journal of The Institute of Image Information and Television Engineers | 1994

Recognition of Manual Alphabets Based on the Feature of Functional Structure of Hand.

Yuji Nagashima; Masanori Fujii; Hideyo Nagashima


international conference on human-computer interaction | 2001

A Study of Recognition of Human-Shaped Trademark Images by Applying Structured Models.

Jun Nakajima; Kosuke Maejima; Hideyo Nagashima


international conference on human computer interaction | 1999

Studies on Classification of Similar Trademarks Corresponding to Human Visual Cognitive Sense

Taki Kanda; Hideyo Nagashima


The Japanese Journal of Ergonomics | 1999

Classification of trademarks by autocorrelation function corresponding to human subjectivity

Taki Kanda; Hideyo Nagashima


The Japanese Journal of Ergonomics | 1998

Studies on Similarity Retrieval Reflecting Human Visual Mentality for Trademarks without Subjective Evaluation Data

Taki Kanda; Hideyo Nagashima

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Hideto Ide

Aoyama Gakuin University

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Yasuharu Suematsu

Tokyo Institute of Technology

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