Claims Analysis
Total Claims: 5
Claim 1
Independent Claim
204 words
A method for segment IabeIing and extracting which outputs segments of video data stored in a random access memory (RAM) for feature extraction and classification as targets, this function being accomplished by the steps: labeling the segments of a video frame as the segments are stored in a mass segment memory, sorting the mass segment memory to extract individual segment data, and storing this data in a segment memory where it can be accessed by an algorithm processor: wherein the step of labeling the segments includes using a segment labeler which consists of a segment label filter, adjacent label filter, memory, and sorter, the inputs to the segment labeler being a segment designator discrete which is set for only pixels which are in segments and a segment boundary designation discrete which is set for only pixels which are in segments and on the perimeter of the segment, the output of the segment labeler being a unique group of labels which define each segment, the segments then being passed on to a control processor and handed to a segment extractor upon request, for the steps of storing the segment intensity, position, status and label for all pixels in time sequence for a faame of data.
Claim 2
Independent Claim
204 words
A method for segment IabeIing and extracting which outputs segments of video data stored in a random access memory (RAM) for feature extraction and classification as targets, this function being accomplished by the steps: labeling the segments of a video frame as the segments are stored in a mass segment memory, sorting the mass segment memory to extract individual segment data, and storing this data in a segment memory where it can be accessed by an algorithm processor: wherein the step of labeling the segments includes using a segment labeler which consists of a segment label filter, adjacent label filter, memory, and sorter, the inputs to the segment labeler being a segment designator discrete which is set for only pixels which are in segments and a segment boundary designation discrete which is set for only pixels which are in segments and on the perimeter of the segment, the output of the segment labeler being a unique group of labels which define each segment, the segments then being passed on to a control processor and handed to a segment extractor upon request, for the steps of storing the segment intensity, position, status and label for all pixels in time sequence for a faame of data.
Claim 3
Dependent Claim
126 words
A screener post processor (FIGS. 5 and 6) for a target recognizer system, comprising a target laqbeler, target memory means, an algorithm procdssor, and a control processor; wherein the target labeler includes targer filter means, adjacent boundary filter means, and adjacent target number sorter means; wherein the target memory means includes a mass target memory, and two single target memories; wherein the target labeler includes means for examining each pixel output from a pipeline video processor and storing into one of said two single segment memories only those which have been tagged by a 2-D pipeline for further evaluation, wherein the target labeler also includes means for appending an identification onto each pixel stored, which is sufficient to sort the stored data into single target groupings.
Claim 4
Dependent Claim
126 words
A screener post processor (FIGS. 5 and 6) for a target recognizer system, comprising a target laqbeler, target memory means, an algorithm procdssor, and a control processor; wherein the target labeler includes targer filter means, adjacent boundary filter means, and adjacent target number sorter means; wherein the target memory means includes a mass target memory, and two single target memories; wherein the target labeler includes means for examining each pixel output from a pipeline video processor and storing into one of said two single segment memories only those which have been tagged by a 2-D pipeline for further evaluation, wherein the target labeler also includes means for appending an identification onto each pixel stored, which is sufficient to sort the stored data into single target groupings.
Claim 5
Dependent Claim
107 words
A screener post processor according to claim 2, wherein said target memory means further includes a hardware controller, and the mass target memory provides storage for two-dimensional and video pipeline data, target number labels and controller generated X, Y coordinates, wherein said hardware controller includes means for receiving groups of adjacent target numbers from a system (Z-8000) controller and for sorting the mass target memory data into candidate targets data which are loaded into one of the single memories; wherein said two single target memories are configured to allow parallel processing time for the loading of one single target memory during the algorithm processing of the other.