Methods to Automate Print Quality Assessment
Abstract:This paper demonstrates how image processing techniques can be combined to automate print quality assessment and reduce the time to market. Typically, significant engineering resource is required to evaluate and optimize print quality over a range of environmental conditions. This method is not only tedious, but its subjective nature induces error. An automated process has been developed to quantify print quality for a variety of digitized print samples. The process uses neighborhood analysis and edge detection to automatically align the digitized image. Techniques such as gradient-based edge detection, neighborhood analysis, and thresholding are used to quantify print quality for each region of interest. Calibration curves are used to relate manually graded images to computationally graded images. Finally, a weighted normalized least-squares fitting routine transforms print quality metrics for each environmental condition into a table of optimized electrophotographic voltage settings.
Document Type: Research Article
Publication date: 2009-01-01
For more than 25 years, NIP has been the leading forum for discussion of advances and new directions in non-impact and digital printing technologies. A comprehensive, industry-wide conference, this meeting includes all aspects of the hardware, materials, software, images, and applications associated with digital printing systems, including drop-on-demand ink jet, wide format ink jet, desktop and continuous ink jet, toner-based electrophotographic printers, production digital printing systems, and thermal printing systems, as well as the engineering capability, optimization, and science involved in these fields.
Since 2005, NIP has been held in conjunction with the Digital Fabrication Conference.
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