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1 | %TEXTUREL 128 x 640 objects (pixels) with 7 features in 5 classes |
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2 | % |
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3 | % A = TEXTUREL |
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4 | % |
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5 | % Load the dataset in A. These are 5 texture classes each given by 7 |
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6 | % features which are 7 different filtered versions of 5 different images. |
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7 | % The objects are the pixels. Filter number 7 is the unity filter, so the |
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8 | % corresponding featurevalues are the original pixels. The 5 classes are |
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9 | % stored as 5 horizontally concatenated images. This may be visualized by |
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10 | % SHOW(A), which shows 7 128*640 images (5*128=640) and the labels. |
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11 | % |
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12 | % The dataset TEXTURET deals with a similar texture image given by the same |
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13 | % texture features but as a composite 256*256 image. |
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14 | % |
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15 | % See also DATASETS, PRDATASETS, TEXTURET |
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16 | |
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17 | % Copyright: R.P.W. Duin |
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18 | % Faculty EWI, Delft University of Technology |
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19 | % P.O. Box 5031, 2600 GA Delft, The Netherlands |
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20 | |
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21 | function a = texturel |
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22 | |
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23 | a = pr_getdata; |
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24 | a = setname(a,'Texture Learning Set'); |
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