HiblaTek: A Mobile Image Processing System for Automated Warp and Weft Density Analysis
Year: 2025
Type: conference-paper
Abstract: This research aims to count the number of warp and weft of natural fibers in a fabric. It provides a method for counting the number of warp and weft fiber per square inch for fiber analysis, offering crucial insights into fabric density and quality. Warp and weft fiber or thread are the two main components of weaving that creates fabric. Warp is the vertical fiber or yarns, while weft is the horizontal fiber or yarns. The key features of this research is its analysis frame, it offers automated fiber counting, and provides automatic fabric classification. Automated thread counting it uses image processing, structural elements, and enhancement techniques to detect and count warp and weft fiber. The performance of technique was evaluated using 2 key metrics, depending on accuracy and efficiency. The thread or fiber count accuracy of technique is 97.31% with the warp fiber count accuracy of 99.88% and weft of 94.75% which measures how close the app’s automated thread count is to a manually verified count. The research simplifies fabric analysis, ensuring precise measurements for buyers and professionals in the textile industry.
Institution: Aklan State University
Language: English
Subfield: Industrial and Manufacturing Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: hybrid
OpenAlex ID: W7126420149