Method and apparatus for determining the image clarity of a surface

• US 5,359,668 A
• Filed: 11/18/1992
• Issued: 10/25/1994
• Est. Priority Date: 05/18/1990
• Status: Expired due to Fees

• Current Assignee: Hoogovens Groep BV
• Original Assignee: Hoogovens Groep BV
• Inventors: Lahaije, Christiaan T. W., van der Meer, Wilhelmus J.
• Primary Examiner(s): Chin, Stephen
• Assistant Examiner(s): MAY, TIMOTHY
• Application Number:
  US07/946,440
• Time in Patent Office: 706 Days
• Field of Search: 382/8, 382/58, 382/65, 382/69, 382/50, 382/51, 382/52, 382/53, 382/61, 356/237, 356/371, 356/310, 356/445, 356/446, 358/101, 358/106, 358/107, 250/572
• US Class Current: 382/108
• CPC Class Codes: G01B 11/303 using photoelectric detection means
• CPC Class Codes: G01N 21/57 Measuring gloss
• CPC Class Codes: G01N 2201/0635 Structured illumination, e.g. with grating

Abstract

Method for determining the image clarity of a surface of a sheet strip or similar, including projection of an image on the surface, detection of a virtual image of the image projected onto the surface and the processing of the detected virtual image into a signal which is presented as a measure for the image clarity of the surface, wherein the image reflected onto the surface is composed of a two-dimensional array of distinct light spots, whereby the processing of the detected virtual image includes the steps of (i) digitizing the detected virtual image with reference to at least one greyness discriminator value, and (ii) determining, for the greyness discriminator value, the number of distinct light spots in the digitized detected virtual image, and from steps (i) and (ii) obtaining a signal measuring image clarity of the whole area of the surface illuminated by the image projected onto the surface.

Claims

1. A method for determining the image clarity of a surface of a sheet or strip, comprising projecting an image on to a surface, detecting a virtual image of the image projected onto said surface and processing the detected virtual image into a signal which is presented as a measure of the image clarity of the surface, said image reflected onto the surface being composed of a two-dimensional array of distinct light spots, said processing of the detected virtual image comprising

digitizing said detected virtual image with reference to at least one greyness discriminator value, and

determining, for said greyness discriminator value, the number of distinct light spots in the digitized detected virtual image,

and from said digitizing and said determining, obtaining a signal measuring image clarity of the whole area of the surface illuminated by said image projected onto the surface, said detected virtual image digitizing being performed for each of a plurality of said discriminator values and determining for each discriminator value the number of distinct spots in the virtual image, and wherein said signal that is presented as a measure of the image clarity of the surface is dependent on a relationship found between the discriminator values and the respective numbers of spots in the binary image.

2. The method in accordance with claim 1, comprising finding a greyness discriminator value at which the number of distinct spots determined in said virtual image is equal to the number of distinct light spots of said image projected onto the surface, said signal presented as a measure of the image clarity of the surface, being derived from said greyness discriminator value.

3. A method for determining the image clarity of a surface of a sheet or strip, comprising projecting an image on to a surface, detecting a virtual image of the image projected onto said surface and processing the detected virtual image into a signal which is presented as a measure of the image clarity of the surface, said image reflected onto the surface being composed of a two-dimensional array of distinct light spots, said processing of the detected virtual image comprising

digitizing said detected virtual image with reference to at least one greyness discriminator value by separating said detected virtual image into a discrete number of image points and for each image point a discrete grey value is determined on a light intensity of the virtual image detected at the position of that image point, and

determining, for said greyness discriminator value, the number of distinct light spots in the digitized detected virtual image by transforming the virtual image into a binary image by determining a binary value for each said image point by comparing the grey value determined at each image point with said discriminator value and assigning a binary value to each said image point in dependence on the result of this comparison,

and from said digitizing and said determining, obtaining a signal measuring image clarity of the whole area of the surface illuminated by said image projected onto the surface, said digitizing of said detected virtual image being performed for each of a plurality of said discriminator values and determining for each discriminator value the number of distinct spots in the virtual image, and wherein said signal that is presented as a measure of the image clarity of the surface is dependent on a relationship found between the discriminator values and the respective numbers of spots in the binary image.

4. The method in accordance with claim 3, comprising finding a greyness discriminator value at which the number of distinct spots determined in said virtual image is equal to the number of distinct light spots of said image projected onto the surface, said signal presented as a measure of the image clarity of the surface, being derived from said greyness discriminator value.

5. Apparatus for determining the image clarity of a surface of a sheet or strip comprising means for reflecting an image onto the sheet, a receiver unit for detecting a virtual image of the image projected onto the surface and a processor unit provided with an output unit, which receiver unit is connected to the processor unit, said processor unit being a computer provided with a program for

digitizing said detected virtual image with reference to at least one greyness discriminator value, and

determining, for said greyness discriminator value, the number of distinct light spots in the digitized detected virtual image;

and from said digitizing and said determining, obtaining a signal measuring image clarity of the whole area of the surface illuminated by said image projected onto the surface, said digitizing of said detected virtual image being performed for each of a plurality of said discriminator values and determining for each discriminator value the number of distinct spots in the virtual image, and wherein said signal that is presented as a measure of the image clarity of the surface is dependent on a relationship found between the discriminator values and the respective numbers of spots in the binary image.

6. The apparatus in accordance with claim 5 wherein said computer is additionally programmed to find a greyness discriminator value at which the number of distinct spots determined in said virtual image is equal to the number of distinct light spots of said image projected onto the surface, said signal presented as a measure of the image clarity of the surface, being derived from said greyness discriminator value.

7. Apparatus for determining the image clarity of a surface of a sheet or strip comprising means for reflecting an image onto the sheet, a receiver unit for detecting a virtual image of the image projected onto the surface and a processor unit provided with an output unit, which receiver unit is connected to the processor unit, said processor unit being a computer provided with a program for

digitizing said detected virtual image with reference to at least one greyness discriminator value, and

determining, for said greyness discriminator value, the number of distinct light spots in the digitized detected virtual image;

and from said digitizing and said determining, obtaining a signal measuring image clarity of the whole area of the surface illuminated by said image projected onto the surface, said digitizing of said detected virtual image comprising separating said detected virtual image into a discrete number of image points and determining for each image point a discrete grey value dependent on a light intensity of the virtual image detected at the position of that image point, and wherein determining the number of distinct light spots in the digitized detected virtual image comprises transforming the virtual image into a binary image by determining a binary value for each said image point by comparing the grey value determined at each image point with said discriminator value and assigning a binary value to each said image point in dependence on the result of this comparison, said digitizing of said detected virtual image being performed for each of a plurality of said discriminator values and determining for each discriminator value the number of distinct spots in the virtual image, and wherein said signal that is presented as a measure of the image clarity of the surface is dependent on a relationship found between the discriminator values and the respective numbers of spots in the binary image.

8. The apparatus in accordance with claim 7, wherein said computer is additionally programmed to find a greyness discriminator value at which the number of distinct spots determined in said virtual image is equal to the number of distinct light spots of said image projected onto the surface, said signal presented as a measure of the image clarity of the surface, being derived from said greyness discriminator value.