Representation – Image Operations

classim Classify image using a given classifier   more routines
dataim Image operation on dataset images (features or objects)
doublem Convert datafile images into double
filtim Image operation on objects in datafiles/datasets
datgauss Filter dataset image by Gaussian filter
datunif Filter dataset image by uniform filter
spatm Augment image dataset with spatial label information
im_box Bounding box
im_fft FFT transform (and more)
im_gray Multi-band to gray-value conversion
im_label Labeling binary images
im_maxf Maximum filter
im_minf Minimum filter
im_norm Normalize images w.r.t. mean and variance
im_resize Resize images
im_rotate Rotate images
im_scale Scale images
im_select_blob Select largest blob
im_skel_meas Skeleton measurements
im_threshold Threshold images

elements: datasets datafiles cells and doubles mappings classifiers mapping types.
operations: datasets datafiles cells and doubles mappings classifiers stacked parallel sequential dyadic.
user commands: datasets representation classifiers evaluation clustering examples support routines.
introductory examples: Introduction Scatterplots Datasets Datafiles Mappings Classifiers Evaluation Learning curves Feature curves Dimension reduction Combining classifiers Dissimilarities.
advanced examples.

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