Pixel filters detect potential objects by contrast and gradient, and create suitable object
primitives. An integrated reshaping operation modifies the shape of image objects to help
form coherent and compact image objects. The resulting pixel classification is stored in
an internal thematic layer. Each pixel is classified as one of the following classes: No
Object, Object in First Layer, Object in Second Layer, Object in Both Layers and Ignored
by Threshold. Finally a chessboard segmentation is used to convert this thematic layer
into an image object level.
Contrast filter segmentation, as a first step, improves overall image analysis performance
substantially.