Imaging System Performance Measurement

• US 20080019611A1
• Filed: 03/30/2005
• Published: 01/24/2008
• Est. Priority Date: 03/31/2004
• Status: Active Grant

• Current Assignee: Canon Kabushiki Kaisha (Canon Inc.)
• Original Assignee: Canon Kabushiki Kaisha (Canon Inc.)
• Inventors: Hardy, Stephen, Fletcher, Peter, Larkin, Kieran
• Granted Patent: US 8,090,218 B2
• Time in Patent Office: Days
• US Class Current: 382/287
• CPC Class Codes: G06T 7/001 using an image reference approach
• CPC Class Codes: G06T 7/32 using correlation-based methods
• CPC Class Codes: G06T 7/33 using feature-based methods
• CPC Class Codes: G06V 10/7515 Shifting the patterns to accommodate for positional errors

Abstract

A method (1000) of measuring performance parameters of an imaging device (120, 160) is disclosed. The method (1000) maintains a test pattern image (1005), the test pattern image (1005) comprising alignment features and image analysis features. A test chart (110, 170) containing a representation of the test pattern image is next imaged using the imaging device (120, 160) to form a second image (1010). The test pattern image (1005) and the second image (1010) are then registered using region based matching (1035) operating on the alignment features. Finally, the performance parameters are measured by analysing (1060) the image analysis features.

Claims

1. A method of measuring performance parameters of an imaging device, said method comprising the steps of:

maintaining a test pattern image, said test pattern image comprising alignment features and image analysis features;

imaging a test chart using said imaging device to form a second image, said test chart containing a representation of said test pattern image;

registering said test pattern image and said second image using region based matching operating on said alignment features; and

measuring said performance parameters by analysing said image analysis features.

2. The method as claimed in claim 1, wherein said imaging device is a camera, and said test chart is a self-luminous device displaying said test pattern image.

4. The method as claimed in any one of claims 1 and 3, wherein different colour channels in said test pattern image and said second image are separately registered and analysed.

5. The method as claimed in any one of claims 1 and 3, wherein said region based matching uses overlapping blocks of image data from said test pattern image and said second image.

6. The method as claimed in any one of claims 1 and 3, wherein said analysis features are said alignment features.

7. The method as claimed in any one of claims 1 and 3, wherein said region based matching is block based correlation.

8. The method as claimed in any one of claims 1 and 3, wherein said registering step comprises the sub-steps of:

performing block based correlation on said test pattern image and said second image to determine a displacement map for mapping pixels of said test pattern image to corresponding pixels of said second image;

interpolating said displacement map to form a distortion map; and

warping said test pattern image using said distortion map.

9. The method as claimed in any one of claims 1 and 3, wherein said measuring step includes comparing pixel values of corresponding pixels in said test pattern image and second image after said images have been registered.

10. The method as claimed in any one of claims 1 and 3, wherein said test pattern image is generated by the steps of:

(a) dividing an image area into a predetermined number of areas;

(b) dividing each of said areas into smaller areas;

(c) within each area, assigning properties to at least one of said smaller areas, and designating the remainder of said smaller areas as areas;

(d) generating pixel values for said at least one of said smaller areas, said pixel values being in accordance with said properties; and

(e) repeating steps (b) to (d).

11. The method as claimed in claim 10, wherein said properties are randomized.

12. The method as claimed in claim 10, wherein said at least one of said smaller areas is selected randomly.

13. The method as claimed in claim 10, wherein said properties are one or more of:

colour;

slowly varying colour;

pattern with predetermined frequency distribution;

pattern with predetermined orientations; and

pseudo-random noise.

14. A method as claimed in claim 1, wherein said test pattern image is generated through the steps of:

(a) dividing an area into a predetermined number of smaller areas;

(b) selecting at least of said smaller areas;

(c) generating pixel values for the selected smaller areas, said pixel values being in accordance with assigned properties;

(d) designating each of the unselected smaller areas as areas; and

(e) repeating steps (a) to (d) iteratively for each of the areas.

15. The method as claimed in claim 14, wherein said properties are randomized.

16. The method as claimed in claim 14, wherein said at least one of said smaller areas is selected randomly.

17. The method as claimed in claim 14, wherein said properties are one or more of:

colour;

slowly varying colour;

pattern with predetermined frequency distribution;

pattern with predetermined orientations; and

pseudo-random noise.

19. The method as claimed in claim 10, wherein a test pattern corresponding to said test pattern image is a dyadic test pattern.

3. A method of measuring performance parameters of a printer, said method comprising the steps of:

maintaining a test pattern image, said test pattern image comprising alignment features and image analysis features;

printing said test pattern image using said printer to form a test chart;

imaging said test chart using a calibrated imaging device to form a second image;

registering said test pattern image and said second image using region based matching operating on said alignment features; and

measuring said performance parameters by analysing said image analysis features.

18. A method of analysing images, said method comprising the steps of:

receiving first and second images, said second image being a distorted version of said first image;

labeling pixels of said first image with pixel labels;

determining distortion parameters for aligning said first image with said second image;

warping at least said pixel labels using said distortion parameters; and

associating said pixel labels with corresponding pixels in said second image, wherein said labels provide information on a state of pixels in said second image before distortion.

20. Apparatus for measuring performance parameters of an imaging device, said apparatus comprising:

means for maintaining a test pattern image, said test pattern image comprising alignment features and image analysis features;

means for receiving a second image, said second image being an image captured by said imaging device of a test chart, and said test chart containing a representation of said test pattern image;

means for registering said test pattern image and said second image using region based matching operating on said alignment features; and

means for measuring said performance parameters by analysing said image analysis features.

22. Apparatus as claimed in claim 20 wherein said means for maintaining a test pattern image comprises:

means for dividing an area into a predetermined number of smaller areas;

means for selecting at least one of said smaller areas;

means for generating pixel values for the selected smaller areas, said pixel values being in accordance with assigned properties;

means for designating each of the unselected smaller areas as areas; and

means for iteratively passing control to said means for dividing said means for selecting, said means for generating pixel values, and said means for designating.

21. Apparatus for measuring performance parameters of a printer, said apparatus comprising:

means for maintaining a test pattern image, said test pattern image comprising alignment features and image analysis features;

said printer for printing said test pattern image to form a test chart;

a calibrated imaging device for imaging said test chart to form a second image;

means for registering said test pattern image and said second image using region based matching operating on said alignment features; and

means for measuring said performance parameters by analysing said image analysis features.

23. Apparatus for analysing images, said apparatus comprising:

means for receiving first and second images, said second image being a distorted version of said first image;

means for labeling pixels of said first image with pixel labels;

means for determining distortion parameters for aligning said first image with said second image;

means for warping at least said pixel labels using said distortion parameters; and

means for associating said pixel labels with corresponding pixels in said second image, wherein said labels provide information on a state of pixels in said second image before distortion.

24. A computer readable medium storing a computer program for measuring performance parameters of an imaging device, said computer program when executed on a computing device performs the steps of:

maintaining a test pattern image, said test pattern image comprising alignment features and image analysis features;

imaging a test chart using said imaging device to form a second image, said test chart containing a representation of said test pattern image;

registering said test pattern image and said second image using region based matching operating on said alignment features; and

measuring said performance parameters by analysing said image analysis features.

26. A computer readable medium as claimed in claim 24, wherein said test pattern image is generated through the steps of:

(a) dividing an image area into a predetermined number of smaller areas;

(b) selecting at least one of said smaller areas;

(c) generating pixel values for the selected smaller areas, said pixel values being in accordance with assigned properties;

(d) designating each of the unselected smaller areas as areas; and

(e) repeating steps (a) to (d) iteratively for each of the areas.

25. A computer readable medium storing a computer program for measuring performance parameters of a printer, said computer program when executed on a computing device performs the steps of:

maintaining a test pattern image, said test pattern image comprising alignment features and image analysis features;

printing said test pattern image using said printer to form a test chart;

imaging said test chart using a calibrated imaging device to form a second image;

registering said test pattern image and said second image using region based matching operating on said alignment features; and

measuring said performance parameters by analysing said image analysis features.

27. A computer readable medium storing a computer program for analysing images, said computer program when executed on a computing device performs the steps of:

receiving first and second images, said second image being a distorted version of said first image;

labeling pixels of said first image with pixel labels;

determining distortion parameters for aligning said first image with said second image;

warping at least said pixel labels using said distortion parameters; and

associating said pixel labels with corresponding pixels in said second image, wherein said labels provide information on a state of pixels in said second image before distortion.

28-33. -33. (canceled)