NONLINEAR FEATURE EXTRACTOR FOR TEXTURE SEGMENTATION


presented by
Presented By
Puneet Kumar Sharma
M0819C010
M.Tech-II (Electronic - Computer )


abstract

This article presents a feed-forward network architecture that can be used as a nonlinear feature extractor for texture segmentation. It comprises two layers of feature extraction units; each layer is arranged into several planes, called feature maps. The features extracted from the second layer are used as the final texture features. The featu ....etc

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class A extends Thread
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public void run()
{
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if(i==10)
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}
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catch(Exception e)
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}
}
}

class B extends Thread
{
public void run()
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for(int j=0;j<=15;j++)
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if(j==0) yield();
}
}
}

class C extends Thread
{
public void run()
{
for(int k=0;k<=15;k++)
{
System.out.println(In thread C\t+k);
if(k= ....etc

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My name is Srideep Maity. I am a research scholar in IIT Kharagpur. My research area is Medical Image Processing. I need help on filters for separating the images into cartoon and texture components. I need the MATLAB codes for fast cartoon + texture image filters along with the details on fast cartoon + texture image filters MATLAB codes. Please, send me the codes for fast cartoon + texture image filters along with the details on fast cartoon + texture image filters MATLAB codes. ....etc

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I want seminar report on controlling ip spoofing through inter domain packet filters URGENTLY........ ....etc

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matlab code for palmprint feature extraction using 2d gabor filters ....etc

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Abstract
This paper demonstrates some consideration results
on feature extraction and selection for handwritten
Japanese Hiragana characters using independent
component analysis (ICA). In some ICA
algorithms where whitening of input signals is introduced
as preprocessing, one can consider that
the process of feature extraction using ICA consists
of two types of transformations: one is the transformation
from an input image to its principal components
(PCs), and the other is the transformation
from PCs to independent component ....etc

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Absract
This paper proposes a novel feature extractionscheme for audio fingerprinting using discretewavelet transform (DWT). The proposed schemereduces the granularity, i.e., the minimal length ofaudio, needed for identification in an audiofingerprinting system. The scheme first decomposesthe video frame into sub-bands by DWT
The proposed scheme hastwo advantages:
(1) it needs smaller fingerprintgranularity than other previous work;
(2) it is notonly reliable but also robust against various signal
degradations according to the ex ....etc

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Aim: To create a distributed application to download various files from various servers using RMI
Algorithm:
1. Create four files – file interface, file implementation, file client and fileserver
2. In the file interface, class specify the prototype of the method that is to be implemented in the file implementation class
3. In the file implementation class, specify the implementation coding for the method defined earlier (download file)
4. Try to read the contents of a file in this class
5. In the fileclient class try t ....etc

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Abstract.
The present paper presents a model for
texture discrimination based on Gabor functions. In
this model the Gabor power spectrum of the micropatterns
corresponding to different textures is calculated.
A function that measures the difference between
the spectrum of two micropatterns is introduced
and its values are correlated with human performance
in preattentive detection tasks. In addition, a two stage
algorithm for texture segregation is presented. In the
first stage the input image is transformed via Gabor
filter ....etc

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can anyone help me with iris feature extraction using haar wavelet matlab code?
....etc

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