Abstract: A method comprises receiving an image of a tissue-sample set. A position in the image of each tissue sample relative to at least one other tissue sample is electronically identified. Each tissue sample is electronically identified based on the tissue sample position identification.

Abstract: An expert system and software method for image recognition optimized for the repeating patterns characteristic of organic material. The method is performed by computing parameters across a two dimensional grid of pixels (rather than a one dimensional scan) with intensity values for each pixel having precision of eight significant bits. The parameters are fed to multiple neural networks, one for each parameter, which were each trained with images showing the tissue, structure, or nucleus to be recognized and trained with images likely to be presented that do not include the material to be recognized. Each neural network then outputs a measure of similarity of the unknown material to the known material on which the network was trained. The outputs of the multiple neural networks are aggregated by an associative voting matrix. A sub-neural network is used for each identified mode of data degradation in the input data.

Abstract: A system and method for high resolution digital x-ray imaging which utilizes multiple imaging sensors is disclosed. In the preferred embodiment, the system includes multiple imaging sensors with overlapping fields of view. The imaging sensors are preferably interfaced with a general purpose computer capable of seamlessly combining the multiple images captured by the multiple imaging sensors.

Abstract: An automatic target recognition apparatus (10) is provided, having a video camera/digitizer (12) for producing a digitized image signal (20) representing an image containing therein objects which objects are to be recognized if they meet predefined criteria. The digitized image signal (20) is processed within a video analysis subroutine (22) residing in a computer (14) in a plurality of parallel analysis chains such that the objects are presumed to be lighter in shading than the background in the image in three of the chains and further such that the objects are presumed to be darker than the background in the other three chains. In two of the chains the objects are defined by surface texture analysis using texture filter operations. In another two of the chains the objects are defined by background subtraction operations. In yet another two of the chains the objects are defined by edge enhancement processes.

Abstract: A remote targeting apparatus and method comprising surrounding a projectile target with a sensor array, computing projectile impact data, transmitting the data receiving the data at a controller; and displaying information corresponding to the data. RF transmission/reception is performed, most preferably at a frequency of between approximately 902 and 928 MHz, with the controller having RF Faraday cage shielding and collision avoidance being employed to permit multiple sensor arrays to operate in a vicinity of one another. Projectile impact locations within twelve inches of the center of the projectile target are calculated to an average RMS accuracy of less than approximately fifty thousandths of an inch, directly in an orthogonal Cartesian coordinate system. Velocity is also determined via an additional sensor at a predetermined distance from the sensor array which measures a difference in time between the projectile passing the additional sensor and the sensor array.