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Prepare svm datasets for multi svm

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Prepare svm datasets for multi svm



28 Jan 2013 (Updated )

Prepare Training set, Test set and Train groups(labels) for multisvm

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please note that this function will give test set and training set images separately as a output and will convert images to grayscale.
This function will take four input variables and will give three output variables, which are as follows:
Input : TrainingSet_location, No_Testset,width, height
Output : Train_Set,Test_Set,train_label

TrainingSet_location : Only o/p of function DirRead is accepted or an array of locations
No_Testset : No of testset images per class.
width, height are resize parameters of images.

Required Products Image Processing Toolbox
MATLAB release MATLAB 7.13 (R2011b)
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13 Mar 2013

No of training sets can be given now along with the no of test set

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