Possible request, Master's thesis ?

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Isee You
Isee You 2014 年 1 月 22 日
コメント済み: Isee You 2014 年 1 月 23 日
Possible request, I'm doing my Master's thesis, and I'm having trouble choosing a point search I want her to be in the field of image processing , but I can not chose a specific point in this area, if any one can help me identify a point by presenting any subject within the field of image processing I will be very thankful
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Isee You
Isee You 2014 年 1 月 22 日
i search in IEEE,springer. but i am so confused

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採用された回答

Bruno Pop-Stefanov
Bruno Pop-Stefanov 2014 年 1 月 22 日
It really depends on what you like and find interesting. I would suggest to start by reading articles on Wikipedia and find a topic you like in image processing.
Go on your school's website and read about the labs, the professors and what their research topics are. Don't forget to read personal pages of PhD candidates. That should give you a nice overview of what is being researched.
Once you pick something you like you can go deeper and read about the state of the art for that subject, and then try to find something to improve, something you can contribute to.
Journals and conference proceedings are nice if you want to read about the latest research but it won't help you if you don't know what to look for.
Good luck!
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Sivakumaran Chandrasekaran
Sivakumaran Chandrasekaran 2014 年 1 月 23 日
try for ECG,EEG based papers
Isee You
Isee You 2014 年 1 月 23 日
thanks a lot for your time and effort, "Sivakumaran Chandrasekaran "

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その他の回答 (1 件)

Image Analyst
Image Analyst 2014 年 1 月 22 日
Browse the topics here http://iris.usc.edu/Vision-Notes/bibliography/contents.html It pretty much covers every topic in image processing, if you drill down deep enough. Pick some interesting field. Every one of those subject lines is an active topic of research and you can certainly contribute something if you're motivated enough and talented enough.
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Image Analyst
Image Analyst 2014 年 1 月 23 日
Perhaps you missed where I said "Every one of those subject lines is an active topic of research". Physics, math, chemistry, and engineering are all extremely old topics. One would be showing their ignorance if they were to say that because they're old that there is no new research there or no new things to learn.
Isee You
Isee You 2014 年 1 月 23 日
thanks a lot for your time and effort, " Image Analyst "

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