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you can choose if sigma_x and sigma_y are the same or different values. These values decide about the eliptic shape ...
Answered 4 years ago
HEY, here is the link. Hope it will be helpful. Its my own file why I would appreciate your comment/rating :) Feel free to ask! ...
4 years ago
search for haralick, there is a new file online. you only have to input your co-occurence matrix calculated from matlab.
one great advantage are the invariant properties of the extracted features:
use epsilon-nearest neighbors algorithm.
if your data have the coordinates x and y
and TH = tour predefied thres...
Hi there, ? I found an example in : 'WND-CHARM: Multi-purpose image classification using compound image transforms' --> http://...
4 years ago
check this out: http://cis.legacy.ics.tkk.fi/aapo/papers/IJCNN99_tutorialweb/
look at this example, i think its the easiest way to get a mask
is the area under a curve or between two curves?
then use: http://www.mathworks.de/help/techdoc/ref/area.html
to reduce noise (wrong pixels) use a median or mean filter.
if the data set i very large you have to vectorize the code...
Are the measure points located in a vector with the same size like L_New? Or do you have more values?
Why do you ...
It depends on your images which you want to process.
You can use some kind of diffusion by applying median or mean filter.
I think you can pre-allocate teh varibale new_row also (command _'ones()'_ )
Variable A is changig it's size in every loop.
which structure has your cplex.Model?
Without this information it's more difficult to understand the vectoroizing...
But somehow my filtered image does not look like its suggested in this publication: http://waset.org/journals/waset/v65/v65-112....
u can use it for edge detecttion or texture extraction
if I understood you correctly:
You separate the neurons from their actual image environment and st it on a black b...
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