astronomy

Nobuyuki Otsu

Nobuyuki Otsu is a astronomy topic covered in the lgStudy science library. This page brings together a partial reference excerpt, illustrations, worked examples, real-world applications and a short study plan, so you can understand Nobuyuki Otsu rather than just read about it. In short: Nobuyuki Otsu (大津展之) graduated from the Department of Mathematical Engineering at the Faculty of Engineering of the University of Tokyo in 1969. He finished the master’s course in mathematics at the Department of Mathematical Engineering and Information Physics of the University of Tokyo in 1971.

Key takeaways

Nobuyuki Otsu belongs to astronomy; place it in that map before memorising details.
Learn the definition first, then one example that makes the definition concrete.
Connect Nobuyuki Otsu to a quantity you can measure, compute or draw — that is where exam questions come from.
Reproduce the core statement of Nobuyuki Otsu from memory before moving on to harder problems.

Reference excerpt

Nobuyuki Otsu (大津展之) graduated from the Department of Mathematical Engineering at the Faculty of Engineering of the University of Tokyo in 1969. He finished the master’s course in mathematics at the Department of Mathematical Engineering and Information Physics of the University of Tokyo in 1971. Obtained Doctor of Engineering from University of Tokyo in 1981. He joined the Electrotechnical Laboratory (ETL) in 1971. He has been engaged in the research of pattern recognition theory and its application. Had been Visiting Researcher at Canada National Research Council, Director of Mathematical Information Laboratory at Software Division, and Director of Information Science Laboratory at Information Science Division. Became Chief Senior Researcher in 1990 and Director of Machine Understanding Division in 1991. Also he hold adjunct professorships in two universities. He became professor at Cooperative Graduate School, the University of Tsukuba in 1992 (to 2010), and Professor at the Graduate School of Information Science and Technology, the University of Tokyo in 2001 (to 2007). He retired from National Institute of Advanced Industrial Science and Technology in 2012 and awarded the title of Emeritus Researcher. He has engaged in mathematical fundamental research and its application concerning pattern recognition, image processing, multivariate analysis, artificial intelligence, and neurocomputing. Otsu's method, an image binarization technique, is still a standard technique widely used both in Japan and abroad. He has made significant contributions to elementary research on principles of human soft intelligence (information processing) such as recognition, understanding, reasoning, and learning, and "soft information processing (intelligent information processing) method" as applications. In the Real World Computing (RWC) Project (MITI's 10 years national project during 1992-2001), he promoted the research and development of "real world intelligence," and established fundamentals to exploit new application fields of intelligent information processing and multimedia information processing.

Awards 1978 - Electronic communication academic meeting Incentive award of art and science: "Threshold determination method from concentration distribution" 1988 - Behavior metrology meeting Prize from an academic society Excellent prize: Achievement about "building of unifying basic theory by nonlinear extension of a multivariate analysis/multivariate analyses both hands way" (a series of thesis) 1998 - IAPR sponsorship MVA'98 Most Influential Paper of the Decade award : "A New Scheme for Practical Flexible and Intelligent Vision Systems" 2002 - Institute of Image Information and Television Engineers Niwa Takayanagi prize achievement prize.: "The real world intelligence technology" promotion of research and development"

References

Further reading Weickert, Joachim; Ishikawa, Seiji; Imiya, Atsushi (17 April 2013). "On the History of Gaussian Scale-Space Axiomatics". In Jon Sporring; Mads Nielsen; Luc Florack; Peter Johansen (eds.). Gaussian Scale-Space Theory. Springer Science & Business Media. pp. 45–59. ISBN 978-94-015-8802-7.

External links Computer science bibliography - Nobuyuki Otsu

Worked examples

Example 1 — a first encounter with Nobuyuki Otsu

Start with the simplest possible case. Write down what Nobuyuki Otsu claims or describes in one sentence, then invent the smallest concrete situation in which that sentence is true. In astronomy, the smallest case is usually a single object, a single equation or a single measurement. Check that every symbol or term in your sentence has a meaning in that case.

Example 2 — changing one variable

Take the situation from Example 1 and change exactly one quantity: double it, halve it, or set it to zero. Predict what should happen to Nobuyuki Otsu before you calculate. Comparing your prediction with the result is the fastest way to find out whether you understand the idea or only the words.

Example 3 — an exam-style question

Typical questions about Nobuyuki Otsu ask you to (a) state it precisely, (b) apply it to given data, and (c) explain a limitation. Practise writing all three answers in under five minutes; the third part is what separates a full-mark answer from an average one.

Applications of Nobuyuki Otsu

In research: Nobuyuki Otsu appears in astronomy research whenever the underlying quantities have to be modelled precisely. Papers usually cite it as a starting assumption and then explore where it breaks down.
In technology and industry: Engineering practice reuses Nobuyuki Otsu in design rules, simulations and safety margins. Knowing the idea lets you read a specification sheet and understand why the numbers look the way they do.
In the classroom: Nobuyuki Otsu is common in secondary-school and first-year university syllabi. It links to neighbouring topics Academic staff of the University of Tokyo, Academic staff of the University of Tsukuba, Artificial intelligence researchers, so understanding it makes those chapters shorter.
In everyday life: Look for Nobuyuki Otsu outside the textbook — in sport, cooking, traffic, electronics or the sky above you. An example you found yourself is remembered far longer than one you were given.

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How to study Nobuyuki Otsu in 20 minutes

Read the reference excerpt below once, without taking notes.
Close the page and write down what Nobuyuki Otsu means in your own words.
Compare your version with the excerpt and mark what you missed.
Work through the three examples above with pen and paper.
Explain Nobuyuki Otsu out loud to somebody else — or to Teacher Smith in the lgStudy chat.

Frequently asked questions

What is Nobuyuki Otsu in simple terms?

Why does Nobuyuki Otsu matter?

Because it connects several astronomy ideas at once: it gives you a definition you can apply, a quantity you can calculate, and a way to check whether a result is plausible.

How should I study Nobuyuki Otsu?

Read the excerpt, restate it from memory, then work through the examples and applications listed on this page. The five-step study plan above takes about twenty minutes.

What does this page cover?

It gives you a compact reference excerpt plus original lgStudy explanations, examples, applications and study material on Nobuyuki Otsu.