Abstract: A method and system for correcting positioning errors in a feature projected image set comprising projections of an object under inspection includes identifying at least one region of interest in at least one respective projection from the feature projected image set that substantially corresponds to a corresponding region of interest in a reconstructed image generated based on the feature projected image set, and estimating a respective corrective shift corresponding to the at least one respective projection and applying the respective corrective shift to generate a corresponding at least one corrected respective projection wherein the identified at least one region of interest in the corresponding at least one corrected respective projection is substantially coincident with the corresponding region of interest the reconstructed image. A corrected reconstructed image may then be generated using the at least one corrected respective projection.

Abstract: A method of analyzing image data to determine an appropriate resolution level for image to be generated from the image data. In the method image data can be analyzed to determine a high frequency noise quality and a low frequency noise quality in the image data. These different noise qualities can be used to determine an appropriate resolution for an image to be generated. An apparatus which can execute a method of the invention, is also provided.

Abstract: In one embodiment, a method for designing a radiographic imaging system includes 1) receiving a number of design constraints for the system, and then 2) in response to the constraints, generating a plurality of radiographic imaging system designs, each having a different number of radiographic sources, and each requiring a different number of nominal scan passes to image a specimen region of interest. Designs having a greater number of radiographic sources have sets of translated radiographic detection areas sharing at least some coincident, nominal scan passes as compared to radiographic imaging system designs having fewer radiographic sources. Each set of translated radiographic detection areas is associated with a radiographic source that is replicated and translated with respect to a radiographic source that forms part of a radiographic imaging system design having fewer radiographic sources. Related systems and apparatus are also disclosed.

Abstract: Techniques for detecting temporal process variation and for managing and predicting performance of automatic classifiers applied to such processes using performance estimates based on temporal ordering of the samples are presented.

Abstract: Techniques for detecting temporal process variation and for managing and predicting performance of automatic classifiers applied to such processes using performance estimates based on temporal ordering of the samples are presented.

Abstract: Techniques for detecting temporal process variation and for managing and predicting performance of automatic classifiers applied to such processes using performance estimates based on temporal ordering of the samples are presented.

Abstract: Techniques for detecting temporal process variation and for managing and predicting performance of automatic classifiers applied to such processes using performance estimates based on temporal ordering of the samples are presented.

Abstract: A calibration technique is presented for calibrating one or more non-reference indirect measurement systems with respect to a reference indirect measurement system. A reference map function fitting procedure fits a reference map function based on known values of a parameter of interest associated with each of one or more reference calibration samples and corresponding reference values associated with the one or more reference calibration samples measured on or simulated for the reference indirect measurement system. A correction function fitting procedure fits a correction function based on reference values for one or more calibration samples measured on or simulated for the reference indirect measurement system and corresponding values measured on the non-reference indirect measurement system.

Abstract: A tomographic reconstruction method and system incorporating Bayesian estimation techniques to inspect and classify regions of imaged objects, especially objects of the type typically found in linear, areal, or 3-dimensional arrays. The method and system requires a highly constrained model M that incorporates prior information about the object or objects to be imaged, a set of prior probabilities P(M) of possible instances of the object; a forward map that calculates the probability density P(D|M), and a set of projections D of the object. Using Bayesian estimation, the posterior probability p(M|D) is calculated and an estimated model MEST of the imaged object is generated. Classification of the imaged object into one of a plurality of classifications may be performed based on the estimated model MEST, the posterior probability p(M|D) or MAP function, or calculated expectation values of features of interest of the object.

Abstract: A system and method for performing auto-focusing operations for tomosynthetic reconstruction of images are provided. More specifically, embodiments of the present invention provide a system and method for efficiently computing the gradient of one or more depth layers of an object under inspection, wherein such gradients may be used in performing auto-focusing operations to determine a depth layer that includes an in-focus view of a feature that is of interest. In at least one embodiment, a method is provided that comprises capturing detector image data for an object under inspection, and using the detector image data for computing gradient information for at least one depth layer of the object under inspection without first tomosynthetically reconstructing a full image of the at least one depth layer.