Possible request, Master's thesis ?

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Isee You
Isee You le 22 Jan 2014
Commenté : Isee You le 23 Jan 2014
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 le 22 Jan 2014
i search in IEEE,springer. but i am so confused

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Réponse acceptée

Bruno Pop-Stefanov
Bruno Pop-Stefanov le 22 Jan 2014
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
try for ECG,EEG based papers
Isee You
Isee You le 23 Jan 2014
thanks a lot for your time and effort, "Sivakumaran Chandrasekaran "

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Image Analyst
Image Analyst le 22 Jan 2014
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 le 23 Jan 2014
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 le 23 Jan 2014
thanks a lot for your time and effort, " Image Analyst "

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