Abstract
The development of automated software and the device for determination of wicking of textile materials, using open-source ImageJ libraries for image processing, and newly designed additional algorithm for the determination of threshold, is presented in this paper. The description of the device, design of the open-source software “Kapilarko”, as well as an explanation of the steps: image processing, threshold determination and reading of wicking height, are provided. We have also investigated the possibility of using the artificial neural networks for automatic recognition of the wicking height. The results showed that the recognition of the wet area of the sample, based on the application of artificial neural networks was in a very good agreement with the experimental data. The device's utility for the measurement of wicking ability of textile materials was proved by testing various knitted fabrics. The constructed device has the advantages of providing automated measurement and minimization of the subjective errors of the operators; extremely fast or long-term measurements; digital recording of results; consistency of experimental conditions; possibility of using water instead of colors and, last but not least, low cost of the device. Considering the importance and frequent measurements of wicking ability of textile materials, the advantages of the presented device, as well as the fact that commercial software without publishing the source-code, are used for most of the available devices, we believe that our idea to design the automated software and device by applying the "open-source" approach, will be of benefit to scientists and engineers in using or improving wicking experiments.
Highlights
One of the most widespread applications of textile materials is certainly in the clothing manufacture
In addition to a description of the device and design of the open-source software called “Kapilarko”, the explanation of steps—image processing, determining the threshold, reading wicking height and artificial neural networks application were provided in this work
We have investigated the possibility of using trained multilayer perceptron with backpropagation (MLP) for process of automatic recognition of wicking to be of additional assistance to the operator
Summary
One of the most widespread applications of textile materials is certainly in the clothing manufacture. Taking into consideration great importance and frequent need for determination of the wicking ability of textile materials, as well as all disadvantages of the above mentioned techniques, our idea was to design the automated software and device for determination of wicking in textiles by "open-source" approach. By using these open-source scientific tools available to everyone, researchers and engineers can construct and adapt the wicking device according to their own needs. In addition to a description of the device and design of the open-source software called “Kapilarko”, the explanation of steps—image processing, determining the threshold, reading wicking height and artificial neural networks application were provided in this work. We have investigated the possibility of using available tools from the field of the neural networks for the threshold determination for recognizing wet and dry areas of samples, with the aim of automatic recognition of wicking height
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