Status : Verified
Personal Name | Nortiza, Rhaj Jefayne M. |
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Resource Title | Image quality analysis of textile prints of commissioned T-shirts of selected student organizations in the University of the Philippines – Diliman |
Date Issued | 18 June 2024 |
Abstract | The global textile printing industry, valued at USD 2.4 billion, is projected to grow by 7% annually over the next decade. In the Philippines, companies like Epson are driving this sector of the garment industry by introducing new printing technologies to small businesses and rural communities. Seeing the potential of the garment printing sector, local production needs to adhere to global standards in printing quality to remain competitive. Assessing print quality can identify gaps in local production. A comparative analysis was done on three T- shirt designs obtained from randomly selected student organizations at the University of the Philippines - Diliman. The designs were printed on T-shirts of different fiber composition, using different traditional and digital methods of printing. The samples were tested using a Canon PIXMA MP 140 scanner for digitizing, Adobe Photoshop for image processing and registration, IMATEST for Structural Similarity Index Method (SSIM), and ImageJ for RGB Profiling. Data obtained were compared to determine the accuracy of sharpness, color reproduction, contrast, luminance, and artifacts of the printed design to the digital design. The results from the print analysis showed that fabrics made of cotton or cotton blends are more likely to register a design with more accurate structure and color reproduction. This can be attributed to the fiber’s characteristics being highly absorbent and hydrophilic, absorbing ink pigments before wicking and bleeding occur. Additionally, the use of digital printing methods, such as the use of inkjet printers was more likely to produce accurate results due to the accuracy of the ink dispersion. With that being said, it is recommended that the study be conducted again with a wider range of designs with more fabric variations and printing methods, such as more digital approaches such as Direct-To-Fabric (DTF). |
Degree Course | Bachelor of Science in Clothig Technology |
Language | English |
Keyword | Textile printing; Image scanning; Print analysis; Print quality assessment; Image analysis |
Material Type | Thesis/Dissertation |
Preliminary Pages
621.33 Kb
Category : F - Regular work, i.e., it has no patentable invention or creation, the author does not wish for personal publication, there is no confidential information.
Access Permission : Open Access