Classification and Segmentation

IPCLASSIFY Function (PV-WAVE Extreme Advantage)

Performs supervised classification using the maximum likelihood classifier

IPCLUSTER Function (PV-WAVE Extreme Advantage)

Performs image segmentation using K-means clustering based on regional statistical measures of the mean, mode, minimum, maximum and/or range of the image pixels

REGION_COUNT Function (PV-WAVE Extreme Advantage)

Computes the number of regions in an image

REGION_FIND Function (PV-WAVE Extreme Advantage)

Locates a possible seed point for a region in an image

REGION_GROW Function (PV-WAVE Extreme Advantage)

Grows homogeneous regions in an image, where homogeneity is based on the region average

REGION_MERGE Function (PV-WAVE Extreme Advantage)

Merges homogeneous regions in an image, where homogeneity is based on the region average

REGION_SPLIT Function (PV-WAVE Extreme Advantage)

Splits homogeneous regions in an image, where the homogeneity is based on the region range

REGION_STATS Function (PV-WAVE Extreme Advantage)

Performs several statistical calculations on specified regions in an image

THRESH_ADAP Function (PV-WAVE Extreme Advantage)

Performs adaptive thresholding on an image

THRESHOLD Function (PV-WAVE Extreme Advantage)

Performs either binary or grayscale global thresholding on an image