Abstract: A method of modeling elements in an automated test of a software application is disclosed. An attribute is created for a set of user-interface elements of a selected species. The attribute defines interactions for the selected species. The user-interface elements are reduced to a primitive type. An application program interface can be used to apply the attribute to the software application.

Abstract: An image processing method wherein a “peer group” is identified for each pixel in the image and the peer group is then used to make processing decisions at that pixel. A diffusion form of peer group processing is presented that averages over the peer group (PGA). Two parameters provide direct control over which objects are selectively enhanced: area (number of pixels in the object) and window diameter (window size needed to enclose the object). The direct correspondence between these parameters and the object characteristics is in sharp contrast to parameter selection for other image processing methods such as variational approaches in which it is unclear how to select good values for the smoothness and approximation weights. The scale space decomposition of an image determined by using the peer group number as the scale parameter leads to top hat procedures for recovering objects in a given size range.