Image monitoring method and system

• US 20050276514A1
• Filed: 06/14/2004
• Published: 12/15/2005
• Est. Priority Date: 06/14/2004
• Status: Abandoned Application

• Current Assignee: Honeywell International Inc.
• Original Assignee: Honeywell International Inc.
• Inventors: Fisher, Paul A.
• Application Number:
  US10/868,438
• Publication Number:
  US 20050276514A1
• Time in Patent Office: Days
• US Class Current: 382/286
• CPC Class Codes: G06T 7/001 using an image reference approach
• CPC Class Codes: G09G 2330/12 Test circuits or failure detection circuits included in a display system, as permanent part thereof
• CPC Class Codes: G09G 2380/12 Avionics applications
• CPC Class Codes: G09G 3/006 Electronic inspection or testing of displays and display drivers, e.g. of LED or LCD displays testing individual LED's G01R31/2635; testing lamps G01R31/44; testing of optical features of LCD displays G02F1/1309
• CPC Class Codes: G09G 5/363 Graphics controllers

Abstract

A system for verifying the accuracy of an image generated by a display processor and rendering engine is disclosed. The system includes a correlator circuit. The correlator circuit is operable to capture image data produced by a rendering engine from a set of input data and determine a correlation value calculated using a comparison location within the image data and a template. The correlator is further operable to compare the correlation value against a threshold value to determine a match between the comparison location within the image data and the template. The system further includes a checking processor coupled to the correlator circuit. The checking processor is operable to receive data representative of the correlation from the correlator and is further operable to initiate a warning in the event of any error in the data representative of the correlation.

Claims

1. A method for verifying the accuracy of image data generated by a display processor from an initial set of input parameters, the method comprising:

capturing image data at a correlator;

receiving at least one comparison location including a first symbology within the image data;

receiving a template representing a second symbology;

calculating a correlation value using the comparison location and the template;

comparing the correlation value to a threshold value; and

determining a match between the first symbology appearing in the comparison location and the symbology represented by the template if the correlation value exceeds the threshold value.

2. The method of claim 1 wherein the step of calculating a correlation value further comprises summing the product of the pixel values of the comparison location multiplied by the pixel values of the template.

3. The method of claim 1 where the step of calculating a correlation value further comprises:

calculating two or more correlation values by comparing the comparison location with each of two or more individual templates; and

selecting the template associated with the largest correlation value calculated.

4. The method of claim 1 where the step of calculating a correlation value further comprises:

calculating two or more correlation values by comparing the comparison location with the template and with the template translated in at least one of four directions; and

selecting the template associated with the largest correlation value calculated.

5. The method of claim 1 further comprising the step of setting the threshold as a fixed percentage of the average of a set of correlation values calculated using a template and a set of comparison locations.

6. The method of claim 1 wherein the step of receiving at least one comparison location further comprises receiving at least one comparison location selected by a checking processor from the image data.

7. The method of claim 1 wherein the steps of receiving at least one comparison location and receiving a template further comprises receiving the comparison location and the template data from the display processor.

8. The method of claim 7 further comprising the steps of:

calculating a cyclic redundancy check value for the template used to calculate the correlation value;

forming a data packet comprising the cyclic redundancy check value for the template and the comparison location;

calculating a packet cyclic redundancy check value based on the data packet contents; and

sending the packet and packet cyclic redundancy check value to a checking processor for verification.

9. The method of claim 7 further comprising the steps of:

forming a data packet comprising the template and the comparison location used to calculate the correlation value;

calculating a packet cyclic redundancy check value based on the data packet content; and

sending the packet and packet cyclic redundancy check value to a checking processor for verification.

10. The method of claim 8 further comprising:

determining at the checking processor the cyclic redundancy check value for the template and the comparison location using the input data;

comparing the cyclic redundancy check value for the template and the comparison location determined at the checking processor with the cyclic redundancy check value for the template and the comparison location in the data packet; and

outputting a warning if the cyclic redundancy check value for the template and the comparison location determined at the checking processor do not match the cyclic redundancy check value for the template and the comparison location in the data packet.

11. The method of claim 9 further comprising:

determining at the checking processor the template and the comparison location using the input data;

comparing the template and the comparison location determined at the checking processor with the template and the comparison location in the data packet; and

outputting a warning if the cyclic redundancy check value for the template and the comparison location determined at the checking processor do not match the cyclic redundancy check value for the template and the comparison location in the data packet.

12. The method of claim 8 further comprising:

independently calculating the packet CRC value at the checking processor; and

outputting a warning that the display processor corrupted the data if the packet CRC value calculated by the checking processor does not match the CRC value calculated by the correlator.

13. A system for verifying the accuracy of an image generated by a display system comprising:

a correlator circuit operable to capture image data produced by a rendering engine from a set of input data and determine a correlation value calculated using a comparison location within the image data and a template;

the correlator further operable to compare the correlation value against a threshold value to determine a match between the comparison location within the image data and the template; and

a checking processor coupled to the correlator circuit and operable to receives data representative of the correlation value calculated from the correlator and further operable to initiate a warning in the event of any error in the data representative of the correlation value calculated.

14. The system of claim 13 wherein the correlation value is determined, at least in part, by the sum of the product of the pixel values of the comparison location multiplied by the pixel value of the template.

15. The system of claim 13 where the correlation value is determined, at least in part, by calculating two or more correlation values by summing the products of the pixel values of the comparison location with the pixel values of the template and the pixel values of the template translated in at least one of four directions;

and selecting the largest correlation value calculated.

16. The system of claim 13 where the correlation value is determined, at least in part, by calculating two or more correlation values by summing the products of the pixel values of the comparison location with the pixel values of of two or more templates and selecting the largest correlation value calculated.

17. The system of claim 13 wherein the template and comparison location are determined by the checking processor from the image data independent of the display processor.

18. The system of claim 13 wherein the comparison location and template data are received at the correlator from a display processor.

19. The system of claim 18 wherein the correlator is further operable to:

generate a cyclic redundancy check value for the template used to calculate the correlation value from the display processor;

form a data packet comprising the comparison location and the CRC of the template;

calculate a packet cyclic redundancy check value based on the data packet contents; and

send the data packet and packet cyclic redundancy check value to a checking processor.

20. The system of claim 19 wherein the checking processor is further operable to:

independently determine the comparison location and the template using the input data;

compare the comparison location and the template determined at the checking processor with the comparison location and the template determined by the display processor; and

verify the accuracy of the generated image data if the comparison matches.

21. The system of claim 19 wherein the checking processor is further operable to:

independently calculate the packet CRC value; and

verify that the display processor did not corrupt data if the packet CRC value calculated by the checking processor matches the packet CRC value calculated by the correlator.

22. The system of claim 18 wherein the correlator is further operable to:

form a data packet comprising the comparison location and the template data;

calculate a packet cyclic redundancy check value based on the data packet contents; and

send the data packet and packet cyclic redundancy check value to a checking processor.

23. The system of claim 13 wherein the threshold is calculated as a percentage of a set of correlation values calculated using a template and a series of comparison locations.

24. A system for verifying the accuracy of an image generated by a display system comprising:

a means for capturing image data produced from a set of input data;

a means for determining a correlation value calculated using a comparison location within the image data and a template;

means for comparing the correlation value against a threshold value to determine a match between the comparison location within the image data and the template; and

a means for receiving data representative of the correlation value calculation and for initiating a warning in the event of any error in the data representative of the correlation.

25. The system of claim 24 wherein the a means for determining a correlation value determines the correlation value by the sum of the product of the pixel values of the comparison location multiplied by the pixel value of the template.

26. The system of claim 24 further comprising a means for generating the comparison location and template data.

27. The system of claim 24 further comprising a means for generating a result data packet comprising the data used to calculate the correlation value and a CRC calculated based on the contents of the result data packet.

28. The system of claim 27 further comprising:

a means for comparing the contents of the result data packet with an independently determined set of data used to calculate the correlation value; and

a means for producing as warning if the contents of the result data packet do not match the independently determined set of data used to calculate the correlation value.

29. The system of claim 27 further comprising:

a means for comparing the CRC of the result data packet with an independently determined CRC; and

a means for producing as warning if the CRC of the result data packet do not match the independently determined CRC.

30. The system of claim 24 wherein the threshold is calculated as a percentage of a set of correlation values calculated using a template and a series of comparison locations.