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Content Based Image Retrieval System in Matlab Using Wavelet, Curvelet, LBP, DCT and Color Features


Content Based Image Retrieval System in Matlab Using Wavelet, Curvelet, LBP, DCT and Color Features
$9.99
  • Description

This implements content based Image retrieval in Matlab using various methods and finally by combination of methods.

to run the demo:

1) Download and unzip the folder.

2) Go inside CurveLab-2.1.2\CurveLab-2.1.2\fdct_wrapping_matlab folder. All files are located inside CurveLab-2.1.2\CurveLab-2.1.2\fdct_wrapping_matlab

3) You can test the images inside image folder. You can add, remove images at any time in image folder.

4) In Matlab command prompt change the directory to CurveLab-2.1.2\CurveLab-2.1.2\fdct_wrapping_matlab directory ( exacmple: C:\user\abc\CurveLab-2.1.2\CurveLab-2.1.2\fdct_wrapping_matlab). Note as the project needs to write data in disk , please do not copy in folders like c:\ which needs write permission.

5) In command prompt type featureext9 

6) Now Train one method, then test it. Note if you have used Train LBP you can only use Test LBP,  If you want to test color, first you have to use train color option

7) 5 Closest images will be displayed. Accuracy is based on MSE wrt to Query image.

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