Print defect detection mechanism
AssigneeRicoh Company, Ltd.
InventorsWalter F. Kailey, Carl M. Dennison
Life of this patent
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Abstract
A method is disclosed. The method includes receiving one or more images of bitmap data applied to a print medium as print medium image data, register the print medium image data to the bitmap data, detecting one or more candidate defects based on whether a difference between the print medium image data at a location and the bitmap data at the location exceeds a predetermined threshold, detecting one or more defects among the candidate defects and transmitting information about the one or more candidate defects classified as defects.
Claims22
A system comprising:
- at least one physical memory device to store defect detection logic;
- and
- one or more processors coupled with the at least one physical memory device to execute the defect detection logic to:
- receive one or more images of bitmap data applied to a print medium as print medium image data;
- register the print medium image data to the bitmap data;
- detect one or more candidate defects based on whether a difference between the print medium image data at a location and the bitmap data at the location exceeds a predetermined threshold;
- detect one or more defects among the candidate defects, including:
- determining a size of a candidate defect;
- determining that the candidate defect comprises a defect upon a determination that the size of the candidate defect exceeds a critical size threshold;
- computing an original variance value associated with an image included in the bitmap data at a first region associated with the defect;
- computing a difference variance value associated with the bitmap data at the first region and the print medium image data at the first region;
- and
- classifying the defect as an unacceptable defect upon a determination that the original variance value is less than the difference variance value multiplied times a gain value;
- and
- transmit information about the one or more candidate defects classified as defects.
A method comprising:
- receiving one or more images of bitmap data applied to a print medium as print medium image data;
- registering the print medium image data to the bitmap data;
- detecting one or more candidate defects based on whether a difference between the print medium image data at a location and the bitmap data at the location exceeds a predetermined threshold;
- detecting one or more defects among the candidate defects, including:
- determining a size of a candidate defect;
- determining that the candidate defect comprises a defect upon a determination that the size of the candidate defect exceeds a critical size threshold;
- computing an original variance value associated with an image included in the bitmap data at a first region associated with the defect;
- computing a difference variance value associated with the bitmap data at the first region and the print medium image data at the first region;
- and
- classifying the defect as an unacceptable defect upon a determination that the original variance value is less than the difference variance value multiplied times the gain value;
- and
- transmitting information about the one or more candidate defects classified as defects.
At least one computer readable medium having instructions stored thereon, which when executed by one or more processors, cause the processors to:
- receive one or more images of bitmap data applied to a print medium as print medium image data;
- register the print medium image data to the bitmap data;
- detect one or more candidate defects based on whether a difference between the print medium image data at a location and the bitmap data at the location exceeds a predetermined threshold;
- detect one or more defects among the candidate defects, including:
- determining a size of a candidate defect;
- determining that the candidate defect comprises a defect upon a determination that the size of the candidate defect exceeds a critical size threshold;
- computing an original variance value associated with an image included in the bitmap data at a first region associated with the defect;
- computing a difference variance value associated with the bitmap data at the first region and the print medium image data at the first region;
- and
- classifying the defect as an unacceptable defect upon a determination that the original variance value is less than the difference variance value multiplied times the gain value;
- and
- transmit information about the one or more candidate defects classified as defects.
Dependencies are inferred from the claim text.