FCTH virtualization

[Mehmet Zahid Yüzügüldü]

Hi there,

how can i extract (virtualize) FCTH regions on image. any one has idea?

Thank you

[Mathias Lux]

Hi!

You can crop the image with java awt and then use FCTH.extract(...)
with FCTH.getDoubleHistogramm(..)

regards,
Mathias

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[Mehmet Zahid Yüzügüldü]

Hi,

Thanx for quick reply. 

Actually i need something like that.

i will extract FCTH features with FCTH.extract(Buffered image). now i only have feature vector. 1x192.

i want to see all regions identified by FCTH algorithm. 

With the use of the Gustafson Kessel [7] fuzzy classifier, 8 regions are shaped, which are then used in order to quantize the values of the 192 FCTH factors in the interval {0-7}, limiting thus the length of the descriptor in 576 bits per image.

How can i crop image according to these 8 regions? i think the answer is hidden in these sentence, but couldn't understand well (from your article again)

Assume, for example, that the classification assigned this block to the second bin that defines low energy horizontal action. Next, the same block is trans- ported in the HSV color space and the mean H, S and V block values are calculated. These values constitute inputs in the fuzzy system that shapes the fuzzy 10- bins histogram described in section 2. Assume again, that the classification assigned this block to the fourth bin that defines that the color is red. Then, the second fuzzy system, using the mean values of S and V as well as the value of the bin (or bins) resulting from the 10- bins fuzzy linking system, calculates the hue of the color and shapes the fuzzy 24-bins histogram. Assume again that the system classifies this block in the fourth bin which defines that color is the dark red.The combination of the 3 fuzzy systems finally will classify the block in the 27th bin (1 × 24 + 3)

Thank you!...

 

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İyi Günler,

Mehmet Zahid Yüzügüldü

[Gajanan Rangapure]

Exception in thread "main" java.lang.OutOfMemoryError: Java heap space

at net.semanticmetadata.lire.imageanalysis.correlogram.DynamicProgrammingAutoCorrelogramExtraction.extract(DynamicProgrammingAutoCorrelogramExtraction.java:120)

at net.semanticmetadata.lire.imageanalysis.correlogram.DynamicProgrammingAutoCorrelogramExtraction.main(DynamicProgrammingAutoCorrelogramExtraction.java:251)

Java Result: 1

BUILD SUCCESSFUL (total time: 3 seconds)

when i run project i got this error help me plz 

[Mehmet Zahid Yüzügüldü]

why are you not opening new post?

you are hiding my questin. still waiting for my answer.

[Savvas A. Chatzichristofis]

I' not sure if I can understand your question. The attached part of the paper describes the entire procedure. The 8 "regions" are not regions :) They correspond to the quantization levels. The 192 bins histogram consists of 192 integer values withing the the interval {0-7}. In other words, before the quantization, after the completion of the procedure, assume that the value of the first bin of the histogram is equal to 0.0001. After the quantization procedure, the new value is 0

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[Mehmet Zahid Yüzügüldü]

ok. i understand exactly what you mean. 

thank you