Abstract: Some implementations may provide a method for generating a portrait of a subject for an identification document, the method including: receiving a photo image of the subject, the photo image including the subject's face in a foreground against an arbitrary background; determining the arbitrary background of the photo image based on the photo image alone and without user intervention; masking the determined background from the photo image; and subsequently generating the portrait of the subject for the identification document of the subject, the portrait based on the photo image with the determined background masked.

Abstract: Identifying information about an individual is obtained. Soft biometrics information about the individual is generated using the identifying information. An identity record associated with the individual is populated with the soft biometrics information.

Abstract: Some implementations may provide a method for generating a portrait of a subject for an identification document, the method including: receiving a photo image of the subject, the photo image including the subject's face in a foreground against an arbitrary background; determining the arbitrary background of the photo image based on the photo image alone and without user intervention; masking the determined background from the photo image; and subsequently generating the portrait of the subject for the identification document of the subject, the portrait based on the photo image with the determined background masked.

Abstract: Some implementations may provide a method for generating a portrait of a subject for an identification document, the method including: receiving a photo image of the subject, the photo image including the subject's face in a foreground against an arbitrary background; determining the arbitrary background of the photo image based on the photo image alone and without user intervention; masking the determined background from the photo image; and subsequently generating the portrait of the subject for the identification document of the subject, the portrait based on the photo image with the determined background masked.

Abstract: Some implementations may provide a method for generating a portrait of a subject for an identification document, the method including: receiving a photo image of the subject, the photo image including the subject's face in a foreground against an arbitrary background; determining the arbitrary background of the photo image based on the photo image alone and without user intervention; masking the determined background from the photo image; and subsequently generating the portrait of the subject for the identification document of the subject, the portrait based on the photo image with the determined background masked.

Abstract: A method for providing tomosynthesis 3-D volume image data, executed at least in part on a computer, acquires a number of radiographic projection images of a subject over a range of angles. Reconstructed volume image data is generated from the acquired projection images. A number of regions of interest are defined within the reconstructed volume image data, wherein each region of interest has a number of image voxels. Image voxel data values are conditioned within at least one of the regions of interest to enhance contrast within the at least one region of interest. The conditioned image voxel data values are adjusted within the at least one of the regions of interest according to interpolation with two or more neighboring regions of interest. An image slice having at least a plurality of the adjusted image voxel data values is displayed.

Abstract: Some implementations may provide a method for generating a portrait of a subject for an identification document, the method including: receiving a photo image of the subject, the photo image including the subject's face in a foreground against an arbitrary background; determining the arbitrary background of the photo image based on the photo image alone and without user intervention; masking the determined background from the photo image; and subsequently generating the portrait of the subject for the identification document of the subject, the portrait based on the photo image with the determined background masked.

Abstract: Some implementations may provide a method for generating a portrait of a subject for an identification document, the method including: receiving, at a mobile device, a photo image of the subject, the photo image including a foreground and a background, wherein the foreground includes the subject's face and the background does not include the subject's face; determining the background of the photo image based on the photo image alone and without user intervention; masking the determined background from the photo image; and subsequently generating the portrait of the subject based on the photo image with the background masked.

Abstract: Some implementations may provide a method for generating a portrait of a subject for an identification document, the method including: receiving, at a mobile device, a photo image of the subject, the photo image including a foreground and a background, wherein the foreground includes the subject's face and the background does not include the subject's face; determining the background of the photo image based on the photo image alone and without user intervention; masking the determined background from the photo image; and subsequently generating the portrait of the subject based on the photo image with the background masked.

Abstract: Some implementations may provide a method for generating a portrait of a subject for an identification document, the method including: receiving a photo image of the subject, the photo image including the subject's face in a foreground against an arbitrary background; determining the arbitrary background of the photo image based on the photo image alone and without user intervention; masking the determined background from the photo image; and subsequently generating the portrait of the subject for the identification document of the subject, the portrait based on the photo image with the determined background masked.

Abstract: A method for enhancing a radiographic image. The method includes obtaining image data for the radiographic image, generating conditioned image data by increasing differences between neighboring portions of at least a relatively uniform area of the radiographic image, generating an enhanced image by applying contrast limited adaptive histogram equalization to the conditioned image data, applying interpolation to the enhanced image, and displaying, storing, or transmitting the enhanced image.

Abstract: A method for providing tomosynthesis 3-D volume image data, executed at least in part on a computer, acquires a number of radiographic projection images of a subject over a range of angles. Reconstructed volume image data is generated from the acquired projection images. A number of regions of interest are defined within the reconstructed volume image data, wherein each region of interest has a number of image voxels. Image voxel data values are conditioned within at least one of the regions of interest to enhance contrast within the at least one region of interest. The conditioned image voxel data values are adjusted within the at least one of the regions of interest according to interpolation with two or more neighboring regions of interest. An image slice having at least a plurality of the adjusted image voxel data values is displayed.

Abstract: A method for enhancing a radiographic image. The method includes obtaining image data for the radiographic image, generating conditioned image data by increasing differences between neighboring portions of at least a relatively uniform area of the radiographic image, generating an enhanced image by applying contrast limited adaptive histogram equalization to the conditioned image data, applying interpolation to the enhanced image, and displaying, storing, or transmitting the enhanced image.

Abstract: A method for detecting architectural distortion within mammographic image data. The method identifies breast tissue within the image data, generates an orientation field and a corresponding magnitude field within the identified breast tissue and generates a feature map by processing the orientation field with a phase portrait model at one or more image scales. The method identifies one or more architectural distortion features according to the generated feature map and displays the one or more identified architectural distortion features.

Abstract: A method for assessing breast density executed at least in part by a computer system, identifies breast tissue from the electronic image data for at least one mammographic image, then performs an initial segmentation of fibroglandular tissue within the breast tissue according to at least one of gradient and uniformity data that is derived from the image data. The initial segmentation is refined using a pixel clustering process. A localized segmentation is obtained from the refined segmentation by generating and combining a density probability mapping and a homogeneity mapping from the image data. A percent density value for the at least one image is calculated and stored in a memory.