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Fully Automatic Weave Identification in Woven Fabrics Using Digital Image Processing
| Content Provider | MDPI |
|---|---|
| Author | Qureshi, Muhammad Amir Butt, Rizwan Aslam Arfeen, Muhammad Zuhair Akram, Noreen |
| Copyright Year | 2022 |
| Description | Fabric is an important part and parcel of our lives. In addition to fabric color and texture, fabric weave also determines the physical appearance and physical properties of the fabric. At times, it is necessary to determine the weave type of the fabric, for example, at sales outlets, or at customs for tax duty computations. Furthermore, the end-user may be required to confirm the fabric weave type. Conventionally, a manual invasive technique is used to determine the weave type of the fabric, which also requires extensive knowledge of the fabric weaving process. Therefore, in this study, we present an image-processing-based, non-invasive, low-cost fabric weave identification scheme. The experimental results are very encouraging results and show a 90% accuracy in detecting fabric weave type in real-time. |
| Starting Page | 1 |
| DOI | 10.3390/engproc2022020001 |
| Issue Number | 1 |
| Volume Number | 20 |
| Language | English |
| Publisher | MDPI |
| Publisher Date | 2022-07-27 |
| Access Restriction | Open |
| Subject Keyword | Image Processing Weave Type Twill Satin Plain |
| Content Type | Text |
