Matlab image Processing _ Sentiment and summary

The two-week study of image processing was almost over;

Really should be a word, only you touch a field, you can really experience the charm of a certain area:

So far, the learning of some image processing knowledge, are the most basic, in fact, and machine learning, computer vision, artificial intelligence, and so on, is only a piece of cake; feel the knowledge of image processing is profound, it is true, this is a graduate student spends two years of time is not necessarily able to master good things. Can only say and embedded in the direction of the same, are more deep water. After this, only know that their mathematics knowledge did not learn in place, regret that the University of mathematics is not easy to learn, and now have to re-study the idea of mathematics, and even the impulse to test a graduate student ...

Is it a pain in the egg? I do not know, just think that math in the block me, I must get it done, in fact, the algorithm code who will use, but the key you will write it? Maybe some people say I just use it OK, yes, but what if you would write it?

So, in the final analysis is still a mathematical knowledge, before the University of mathematics in the actual work is not used, and now found the wrong, not to use, but you did not touch!

Now decide, next year, no, this year's important goal, in addition to embedded, is the improvement of mathematics knowledge.

Tentative Math Learning Program:

Review "Advanced mathematics", "Linear algebra", "Probability theory", "Signal and system".

Some of the previous learning to feel their level to a certain extent, at least to the damned FFT to get thorough, and then regain the "digital Signal Processing", "Digital Image Processing" and other good books, research, implementation to specific applications, code, not white learning.

Exactly when to execute, and so on after the year, with other plans to carry out.

For digital image processing, to learn a lot, maybe this time will become a paragraph of work and draw a full stop, but you have to constantly complement the perfect:

The following are the areas that can be supplemented:

Image Foundation; Gray-scale transformation and spatial filtering, frequency filtering, wavelet transform

image enhancement; image Restoration; Image Segmentation, image compression, image morphology manipulation and so on;

Target recognition/tracking, artificial intelligence, etc.;

Here are some of the better links to the page, you can see more:

http://blog.csdn.net/dcraw/article/details/7617891

http://blog.csdn.net/dcraw/article/details/7367990

Matlab image Processing _ Sentiment and summary