Computer architecture for emulating an image input adapter for a correlithm object processing system

• US 10,380,082 B2
• Filed: 09/11/2017
• Issued: 08/13/2019
• Est. Priority Date: 09/11/2017
• Status: Active Grant

• Current Assignee: Bank of America Corp.
• Original Assignee: Bank of America Corp.
• Inventors: Lawrence, Patrick N.
• Primary Examiner(s): Vo, Truong V
• Application Number:
  US15/701,220
• Publication Number:
  US 20190079956A1
• Time in Patent Office: 701 Days
• Field of Search: 707704
• CPC Class Codes: G06F 16/211 Schema design and management
• CPC Class Codes: G06F 16/289 Object oriented databases
• CPC Class Codes: G06F 16/50 of still image data
• CPC Class Codes: G06F 18/22 Matching criteria, e.g. proximity measures
• CPC Class Codes: G06N 20/20 Ensemble learning
• CPC Class Codes: G06N 5/022 Knowledge engineering; Knowledge acquisition
• CPC Class Codes: G06V 10/50 by performing operations within image blocks; by using histograms, e.g. histogram of oriented gradients [HoG]; by summing image-intensity values; Projection analysis
• CPC Class Codes: G06V 10/761 Proximity, similarity or dissimilarity measures
• CPC Class Codes: G06V 20/10 Terrestrial scenes scenes under surveillance with static cameras G06V20/52; scenes perceived from the exterior of a vehicle G06V20/56; scenes perceived from the interior of a vehicle G06V20/59
• CPC Class Codes: G06V 40/172 Classification, e.g. identification

Abstract

A device configured to emulate an image input adapter for a correlithm object processing system that includes a sensor engine. The sensor engine is configured to receive an image formed by an array of pixels, to determine dimensions for the array of pixels, and to define a plurality of masks. The size of each mask is less than the dimensions of the array of pixels. Each mask at least partially overlaps with at least one other mask. The sensor engine is configured to overlay the plurality of masks with the image. Overlaying the masks with the image partitions the image into a plurality of sub-arrays of pixels. The sensor engine is configured to determine a correlithm object for each pixel in the sub-array of pixels, to serialize the correlithm objects for the sub-array of pixels to form an aggregated correlithm object, and to output the aggregated correlithm object.

Claims

1. A device configured to emulate an image input adapter for a correlithm object processing system, comprising:

a memory configured to store;

a plurality of correlithm objects, wherein a correlithm object is a point in a n-dimensional space represented by a binary string; and

a sensor engine operably coupled to the memory, configured to;

receive an image formed by an array of pixels, wherein each pixel in the array has a pixel value;

determine dimensions for the array of pixels;

define a plurality of masks, wherein;

the size of each mask is less than the dimensions of the array of pixels; and

each mask from the plurality of masks at least partially overlaps with at least one other mask from the plurality of masks;

overlay the plurality of masks with the image, wherein overlaying the plurality of masks with the image partitions the image into a plurality of sub-arrays of pixels;

determine a correlithm object for each pixel in the sub-array of pixels;

serialize the correlithm objects for the sub-array of pixels to form an aggregated correlithm object; and

output the aggregated correlithm object.

2. The device of claim 1, wherein the image is received from a peripheral device.

3. The device of claim 1, wherein overlaying the plurality of masks with the image comprises simultaneously overlaying all of the plurality of masks with the image.

4. The device of claim 1, wherein overlaying the plurality of masks with the image comprises sequentially overlaying each mask from the plurality of masks with the image.

5. The device of claim 1, wherein outputting the aggregated correlithm object comprises sending the aggregated correlithm object to a node configured to convert the aggregated correlithm object to a different correlithm object in another n-dimensional space.

6. The device of claim 1, wherein outputting the aggregated correlithm object comprises sending the aggregated correlithm object to an actor configured to convert the aggregated correlithm object to a real world output value.

7. The device of claim 1, wherein determining a correlithm object for each pixel in the sub-array of pixels comprises using a sensor table that identifies:

a plurality of pixel value entries; and

the plurality of correlithm objects, wherein each correlithm object is linked with a pixel value entry from among the plurality of pixel value entries.

8. A method for emulating an image input adapter for a correlithm object processing system, comprising:

receiving, by a sensor engine, an image formed by an array of pixels, wherein each pixel in the array has a pixel value;

determining, by the sensor engine, dimensions for the array of pixels;

defining, by the sensor engine, a plurality of masks, wherein;

the size of each mask is less than the dimensions of the array of pixels; and

each mask from the plurality of masks at least partially overlaps with at least one other mask from the plurality of masks;

overlaying, by the sensor engine, the plurality of masks with the image, wherein overlaying the plurality of masks with the image partitions the image into a plurality of sub-arrays of pixels;

determining, by the sensor engine, a correlithm object for each pixel in the sub-array of pixels, wherein a correlithm object is a point in a n-dimensional space represented by a binary string;

serializing, by the sensor engine, the correlithm objects for the sub-array of pixels to form an aggregated correlithm object; and

outputting, by the sensor engine, the aggregated correlithm object.

9. The method of claim 8, wherein receiving the image comprises receiving the image from a peripheral device.

10. The method of claim 8, wherein overlaying the plurality of masks with the image comprises simultaneously overlaying all of the plurality of masks with the image.

11. The method of claim 8, wherein overlaying the plurality of masks with the image comprises sequentially overlaying each mask from the plurality of masks with the image.

12. The method of claim 8, wherein outputting the aggregated correlithm object comprises sending the aggregated correlithm object to a node configured to convert the aggregated correlithm object to a different correlithm object in another n-dimensional space.

13. The method of claim 8, wherein outputting the aggregated correlithm object comprises sending the aggregated correlithm object to an actor configured to convert the aggregated correlithm object to a real world output value.

14. The method of claim 8, wherein determining a correlithm object for each pixel in the sub-array of pixels comprises using a sensor table that identifies:

a plurality of pixel value entries; and

the plurality of correlithm objects, wherein each correlithm object is linked with a pixel value entry from among the plurality of pixel value entries.

15. A system configured to emulate an image input adapter for a correlithm object processing system, comprising:

a camera configured to output an image formed by an array of pixels, wherein each pixel in the array has a pixel value; and

a device operably coupled to the camera, comprising;

a memory configured to store a plurality of correlithm objects, wherein a correlithm object is a point in a n-dimensional space represented by a binary string; and

a sensor engine operably coupled to the memory, configured to;

receive an image from the camera;

determine dimensions for the array of pixels;

define a plurality of masks, wherein;

the size of each mask is less than the dimensions of the array of pixels; and

each mask from the plurality of masks at least partially overlaps with at least one other mask from the plurality of masks;

overlay the plurality of masks with the image, wherein overlaying the plurality of masks with the image partitions the image into a plurality of sub-arrays of pixels;

determine a correlithm object for each pixel in the sub-array of pixels;

serialize the correlithm objects for the sub-array of pixels to form an aggregated correlithm object; and

output the aggregated correlithm object.

16. The system of claim 15, wherein overlaying the plurality of masks with the image comprises simultaneously overlaying all of the plurality of masks with the image.

17. The system of claim 15, wherein overlaying the plurality of masks with the image comprises sequentially overlaying each mask from the plurality of masks with the image.

18. The system of claim 15, wherein outputting the aggregated correlithm object comprises sending the aggregated correlithm object to a node configured to convert the aggregated correlithm object to a different correlithm object in another n-dimensional space.

19. The system of claim 15, wherein outputting the aggregated correlithm object comprises sending the aggregated correlithm object to an actor configured to convert the aggregated correlithm object to a real world output value.

20. The system of claim 15, wherein determining a correlithm object for each pixel in the sub-array of pixels comprises using a sensor table that identifies:

a plurality of pixel value entries; and

the plurality of correlithm objects, wherein each correlithm object is linked with a pixel value entry from among the plurality of pixel value entries.