Abstract: A portable image enhancement device comprising an optical image sensor, a rangefinder, a parametric control, a central processing unit (CPU), and a user interface. The sensor receives image data for a target object in a tactical scene. The rangefinder continually measures distance from the device to the target object, which may be in motion relative to each other. The parametric control tunes a parametric variable (e.g., spatial frequency, filter shape, orientation) that the CPU uses, along with the potentially-changing target distance, to create custom spatial filters and apply them to create a filtered scene from the tactical scene. Each spatial filter is of a two-dimensional (2D) Fourier-domain type (e.g., high-pass, low-pass, band-pass, band-stop, orientation). A spatial filter, target distance, and parametric variable combination may be stored as a preset filter for subsequent retrieval and application to a newly-input tactical scene. The user interface displays dynamically-tunable filtered scene(s).

Abstract: A mobile three-dimensional sensor configuration is provided with a first sensor of a second type mounted proximate to the first sensor of a first type. A second sensor of the second type is mounted proximate to a second sensor of the first type. The first and second sensors are coupled to a first platform operable to vary the azimuth and elevation of the first and second sensors of the first and second types. The first and second platforms are mounted on a translational drive configured to independently translate the first and second platforms with respect to one another. A controller is configured to receive images sensors of and further configured to create a pair fused images of the first sensors of the first and second type and the second sensors of the first and second type. The controller is still further configured to display the pair of fused images.

Abstract: A method and apparatus are provided for automatically assessing a resolution of an optical sensor. An image is obtained from the sensor. The obtained image is thresholded to generate a binary image of black and white pixels using a first threshold value. A target area is selected from the binary image. The first threshold value is increased to generate a second threshold value. The target is thresholded using the second threshold value. At least one pixel is tagged at a center of the target area. Pixels surrounding a tagged pixel are processed, tagging white pixels. If a tagged pixel is at an edge of the target area, an orientation of an object in the target area is determined based on that edge. And, if no pixel is tagged at the edge of the target area, the second threshold value is decreased and the thresholding, tagging, and processing steps are repeated.

Abstract: A system and method are provided for assessing a resolution of an optical sensor. An image is obtained from the optical sensor. A target area is selected from the image. The selected area is subjected to a thresholding process to generate a binary image. Pixels at a center of the binary image are tagged. The remaining pixels of the binary image are looped through, where pixels that are not already tagged, are touching a tagged pixel, and are of the same color of previously tagged pixels are tagged. A plurality of distances associated with each corner of the binary image is calculated from the corner to the nearest tagged pixel in a row or column of pixels. At least two shortest distances of the calculated plurality of distances are selected to determine an orientation of an object defined by the tagged pixels in the generated binary image.

Abstract: A method and apparatus are provided for automatically assessing a resolution of an optical sensor. An image is obtained from the sensor. The obtained image is thresholded to generate a binary image of black and white pixels using a first threshold value. A target area is selected from the binary image. The first threshold value is increased to generate a second threshold value. The target is thresholded using the second threshold value. At least one pixel is tagged at a center of the target area. Pixels surrounding a tagged pixel are processed, tagging white pixels. If a tagged pixel is at an edge of the target area, an orientation of an object in the target area is determined based on that edge. And, if no pixel is tagged at the edge of the target area, the second threshold value is decreased and the thresholding, tagging, and processing steps are repeated.

Abstract: A system and method are provided for assessing a resolution of an optical sensor. An image is obtained from the optical sensor. A target area is selected from the image. The selected area is subjected to a thresholding process to generate a binary image. Pixels at a center of the binary image are tagged. The remaining pixels of the binary image are looped through, where pixels that are not already tagged, are touching a tagged pixel, and are of the same color of previously tagged pixels are tagged. A plurality of distances associated with each corner of the binary image is calculated from the corner to the nearest tagged pixel in a row or column of pixels. At least two shortest distances of the calculated plurality of distances are selected to determine an orientation of an object defined by the tagged pixels in the generated binary image.

Abstract: A method and system are provided to assess a resolution of an optical sensor. The method includes placing a target at a distance from a focal plane of the optical sensor. The target is oriented in a first orientation and includes a grid and a plurality of test objects having different sizes and orientations. An image of the target is acquired from the optical sensor. The target grid in the acquired image is identified. Each test object of the plurality of test objects is identified using the identified grid and an orientation of the identified test object is determined. The determined orientations of the identified test objects of the plurality of test objects are compared to a ground truth and presented.

Abstract: A method and system are provided to assess a resolution of an optical sensor. The method includes placing a target at a distance from a focal plane of the optical sensor. The target is oriented in a first orientation and includes a grid and a plurality of test objects having different sizes and orientations. An image of the target is acquired from the optical sensor. The target grid in the acquired image is identified. Each test object of the plurality of test objects is identified using the identified grid and an orientation of the identified test object is determined. The determined orientations of the identified test objects of the plurality of test objects are compared to a ground truth and presented.

Abstract: A method, apparatus and program product are presented for detecting an image. Ring contour images are created by blurring the image, posterizing the blurred image at a plurality of levels and creating the ring contour images from each of the posterized images. Convex hull images are created by creating a plurality of corner images from corners within the image located by at least two different corner algorithms, finding a bounding rectangle that encompasses the ring contour images, cropping the corner images using the bounding rectangle, applying a threshold to the cropped corner images, and creating the convex hull images by generating a convex hull from the corners in each of the cropped corner images. A plurality of triangles is created by fitting a triangle with an orientation to the ring contour images and the convex hull images. Finally the orientation of the triangle is determined from the plurality of triangles.

Abstract: A method, apparatus and program product are presented for determining an orientation of a Landold C in an image containing a plurality of pixels. A center of the Landolt C is determined. A plurality of rays is extended from the center of the Landolt C radially outward. A plurality of distances is determined, where each distance of the plurality of distances represents a distance from the center of the Landolt C to a darkest pixel along each ray of the plurality of rays. A peak in the plurality of distances is identified. And the orientation of the Landolt C is determined based on the peak in the plurality of distances.