Open source print quality software
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The document discusses developing an open source print quality assessment program using the Fiji/ImageJ environment. It outlines that Fiji/ImageJ allows for free and flexible development of such a program using Java. It then provides examples of specific print quality features that could be extracted and analyzed such as line width, dots, color variations, and placement accuracy. The goal would be to increase productivity and automation for print quality evaluation.
Open source print quality software
- 2. Commercial systems dedicated to assess print quality already exist. They usually implement the ISO 13660 standard with a focus on character and line attributes (raggedness, line width, darkness, character, contrast, fill, extraneous marks, character field, background haze, character field) However, they are expensive, lack of flexibility and the access to their algorithms is not possible. Fiji/ImageJ and its environment enables to develop an open source program dedicated to print quality assessment › free license › Interface based › Development using Java language and pre-coded functions › Enhance collaboration
- 3. Print target design Choice of Printing System model relevant features Image Printing sequences Printing parameters (drop speed,…) acquisition Features Substrate High resolution & low field of view extraction Ink vs low resolution Lines Statistical & high field of Printing view analysis configuration Dot Lighting Text Intra-samples Dithering conditions techniques Registration mark Inter- samples Fiji
- 4. Fiji is an image processing package. It can be described as a distribution of ImageJ together with Java, Java 3D and a lot of plugins. User interface Macro/plugings editor
- 5. Individual ‘bricks’ -Color conversion Software development -Binary analysis Macro -Illumination correction Java based program -… Increase productivity Automation Shorter development time Proprietary routines and development of standard
- 6. Image creation to design test charts Dithering techniques Dots and satellites Line width/raggedness Series of parallel lines
- 7. By example, test of optical density regularity along the swathe › Periodic pattern › Random pattern
- 8. Comparison and impact of different dithering techniques Implementation of algorithms specific to greyscale printhead
- 9. Particles extraction Particles counting Background subtraction RGB – one layer Binarization
- 10. Individual object’s properties Histogram for a given parameter
- 11. › Edges extraction + angular correction + average and standard deviation on both sides of the line
- 12. Idea The centre of each line is computed to obtain the The histogram is then Original image distance between two plotted successive lines Histogram % di di REFERENCE
- 13. implementation The red circles represent the middle of the line Average and standard deviation are then calculated
- 14. Colour deconvolution Results tolerance Text recognition and limit of “readability”
- 15. Objective: to quantify colour variations caused by due to undesirable drops overlap,... Placement accuracy % of coverage Printing Colour Colour direction clustering split in RGB Dithering space techniques
- 16. Objective: to evaluate the interval of confidence for results like dot diameter, (x,y) positioning, roundness,… Pixel size: 2 µm Distribution of error centred of the Dot diameter: 60 µm theoretical dot area Algorithm based on dot permutation
- 17. Image analysis is an approach, but not the end of the story PQ can be described along several others physical dimensions (Optical density, colour gamut, full tone uniformity…) Some levels of overlapping exist between them
- 18. If you: › want to know more about ImageJ / Fiji › are interested in developing an ISO13660 open source software › have a specific need regarding print quality assessment, beyond image analysis I would be please to heard from you.