Please use this identifier to cite or link to this item: https://rda.sliit.lk/handle/123456789/2585
Title: Digital Creation of Color Illusion Fabricated by Overlaying Different Colored Translucent Textiles Using Images
Authors: Wijesinghe, A
Seneviratne, L
Abeyratne, S
Keywords: Digital Creation
Color Illusion
Fabricated
Overlaying
Different Colored
Translucent
Textiles
Using Images
Issue Date: 18-Dec-2019
Publisher: IEEE
Citation: A. Wijesinghe, L. Seneviratne and S. Abeyratne, "Digital Creation of Color Illusion Fabricated by Overlaying Different Colored Translucent Textiles Using Images," 2019 14th Conference on Industrial and Information Systems (ICIIS), 2019, pp. 151-156, doi: 10.1109/ICIIS47346.2019.9063308.
Series/Report no.: 2019 14th Conference on Industrial and Information Systems (ICIIS);
Abstract: Overlaying different colored textiles which are translucent is a straight forward task to complete physically, in contrast this task is difficult to achieve digitally. Amount of information obtained from an image is limited, which is a major difficulty faced when using images to identify the features of a textile such as color, material, texture, thickness and transparency. An algorithmic approach is taken based on three hypotheses; random superimposing, background replacement and color augmentation. These techniques are based on; color identification, background replacement, random selection, pixel superimposing, color blending and image color augmenting. The algorithms are researched, implemented, experimented in-depth and critically compared. Four algorithms are implemented, two based on randomly superimposing and one each based on background replacement and color augmentation. Background replacement algorithm was hardly able to complete the task effectively, thus is the lowest ranked algorithm. In contrast, randomly superimposing and color augmenting algorithms were capable of carrying out the task successfully. Randomly superimposing costed the least time to complete, but the generated images were unnatural whereas color augmenting produced a perfectly natural image though the color of the final output was inaccurate. Further refining the color prediction algorithm is proposed to develop a more effective system.
URI: http://rda.sliit.lk/handle/123456789/2585
ISSN: 2164-7011
Appears in Collections:Department of Electrical and Electronic Engineering-Scopes
Research Papers
Research Papers - Department of Electrical and Electronic Engineering
Research Papers - SLIIT Staff Publications



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