Abstract: Systems and methods for image segmentation using a deformable atlas are provided. One method includes obtaining one or more target images, obtaining one or more propagated label probabilities for the one or more target images, and segmenting the one or more target images using a cost function of a deformable atlas model. The method further includes identifying segmented structures within the one or more target images based on the segmented one or more target images.

Abstract: Systems and methods for image segmentation using a deformable atlas are provided. One method includes obtaining one or more target images, obtaining one or more propagated label probabilities for the one or more target images, and segmenting the one or more target images using a cost function of a deformable atlas model. The method further includes identifying segmented structures within the one or more target images based on the segmented one or more target images.

Abstract: A method and an apparatus are disclosed for finding an orientation of an object from the image of the object through the generation of, and subsequent evaluation of, at least a portion of a frequency response of the image. The orientation of the object can be used in subsequent image processing.

Abstract: A method and an apparatus are disclosed for generating a model of an object from an image of the object. First, an orientation of the object in the image is determined through the generation of, and subsequent evaluation of, at least a portion of a frequency response of the image. Thereafter, the orientation is used to gauge the object. The gauging provides the necessary dimensional information that becomes a part of the geometrical model of the object. An embodiment is disclosed that generates a geometrical model of a leaded object from the image of the leaded object.

Abstract: Methods and apparatuses are disclosed for identifying regions of similar texture in an image. The areas of similar texture include areas conventionally thought of as similar texture regions as well as areas of more varied texture that are treated as regions of similar texture in order to identify them within an image. The method associates frequency characteristics of an image with a spatial position within the image by: applying a frequency analysis on sub-regions of the image, thereby, generating frequency characteristics representative of the sub-regions: and associating the frequency characteristics with the origin of the sub-regions. An embodiment disclosed applies a fast Fourier transform on sub-regions in a given direction to determine a dominant frequency of the sub-region and the power of the dominant frequency, both of which are associated with the respective sub-region by storing the dominant frequency and power in a frequency image and power image, respectively, at the position of the origin.

Abstract: Methods are disclosed that measure the extent of a group of objects within a digital image by comparing signature, representative of the relationship of the objects to one another, against instances of a measured signature at varying positions within the image. The position(s) where the signature(s) vary by a predetermined comparison criterion indicates the extent of the group of objects. It is disclosed that the comparison to a reference signature allows proper identification of measured signatures despite noise in the digital image. A preferred embodiment uses the CALIPER TOOL to generate signatures of edges, where the window of the CALIPER TOOL has a projection axis substantially parallel to the extent being measured. A preferred application is desired wherein the method measure the length of leads in a lead set.

Abstract: A method and apparatus are disclosed for refining a rough geometric description (GD) and a rough pose of an object having extensions. The invention locates anchor points within an image of the object and uses the anchor points to align in at least one dimension the rough GD. In one embodiment, the anchor points are the tips of the extensions of the object; the rough GD of the object is then aligned along the angular orientation indicated by the tips. Thereafter, other dimensions of the rough GD and the rough pose are measured, measuring the dimensions having less unknowns first. The rough GD and the rough pose are then updated to provide the refined GD and refined pose. For one measurement, an extent of a region is measured using the expected area of region to threshold the region and segment it from the remainder of the image before measuring the extent of the region. An application of refining a GD of a leaded object is disclosed.