Modeling simulation and analysis of textile pilling by using Upgraded Petri nets and two-level edge detection algorithm-Reference-Cited by-同舟云学术

Modeling simulation and analysis of textile pilling by using Upgraded Petri nets and two-level edge detection algorithm

Published:2022 Issue:2 Volume:70 Page:12-21
ISSN:0040-2389
Container-title:Tekstilna industrija
language:en
Short-container-title:Tekstilna industrija

Author:

Štrbac Perica,Pejanović Miloš,Reljić Mirjana

Abstract

Upgraded Petri nets and a two-level edge detection algorithm for the modeling, simulation, detection, and analysis of textile pilling has used in this paper. There are two models in this paper. The first model is related to creating images with pilling on textiles. This model is represented at a low level of abstraction, using parallelism, synchronization, and preservation of model markup. After several iterations of the modeling, simulation, and analysis, the model transformed into a specific Python program. This program generates several hundred images of pilling on textiles. The second model refers to the modeling, simulation, and analysis of the preparation of generated images for entry into a program that uses a two-level algorithm for edge detection and generation of output images of detected pilling. An image preparation includes comparing pixel blocks (2x2, 4x4, and 8x8) of the image with textile pilling and the image without pilling. This image with pilling is modified regardless of the difference between the corresponding blocks. This image is an input to the two-level edge detection algorithm. The paper presents some examples of generated images of textile pilling and images with detected pilling. Errors due to the size of the comparison block about the exact pilling surface shown. The speed of image processing according to the size of the comparison blocks analyzed. Some guidelines represented for further research on pilling detection using Upgraded Petri nets and a two-level edge detection algorithm.

Publisher

Centre for Evaluation in Education and Science (CEON/CEES)

Subject

Industrial and Manufacturing Engineering,Polymers and Plastics,General Agricultural and Biological Sciences,Business and International Management

Link

https://scindeks-clanci.ceon.rs/data/pdf/0040-2389/2022/0040-23892202012Q.pdf

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