Morphological granulometric analysis of electrophotographic images--size distribution statistics for process control
Abstract
Size distributions of particles within a binary image can be generated
by morphological filtering processes known as granulometries.
Granulometries filter the image by structuring elements of ever-increasing
size, the result being a distribution whose statistics carry information regarding
the shape and size of particles within the image. A granulometric
approach to the analysis of the microstructure of electrophotographic images
is discussed. The method is applied to both simulated and real images,
the former being generated in a manner consistent with existing
magnetic brush development and optical density transform models. Size
distribution statistics are analyzed in terms of feedback control and copier
quality control.