I am working on classification of images based my features extracted from wavelet transform of my images. I have computed the mean and energy of the two class of images. For each image I have about 6 feature values. ie., mean and energy of the detail subimages of wavelet transform. Totally I have 10 images with 5 images in each class. I have extracted features from all the 10 images. I donot know how to feed my features to svm for training and testing?
How to prepare data for using in 'svmclassify'?
1 次查看(过去 30 天)
显示 更早的评论
I am working on classification of images based my features extracted from wavelet transform of my images. I have computed the mean and energy of the two class of images. For each image I have about 6 feature values. ie., mean and energy of the detail subimages of wavelet transform. Totally I have 5 images in each class. I have extracted features from all the 10 images. I donot know how to feed my features to svm for training and testing?
0 个评论
采纳的回答
更多回答(1 个)
sasikala
2013-2-6
1 个评论
Subha
2013-2-16
Its simple... you need to put the 6 features in each column and the images in row.. just save it in .mat.. u can load the data and run the program... in same manner u can load data for testing also the testing data shd nt be included in ur traning data.. so tat u can knw the performance..
u need to provide the target in column matrix.. ie(n*1) where n is the number of images u have...
.. hope u understand
另请参阅
类别
在 Help Center 和 File Exchange 中查找有关 AI for Signals and Images 的更多信息
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!