Texture segmentation and contour extraction of jacquard fabrics
Source abstract
Abstract
To further improve the intelligent analysis level and design technology of warp knitted jacquard fabrics,a new algorithm for texture segmentation and contour extraction of jacquard fabrics based on wavelet-transform and Canny operator is proposed.Firstly,the wavelet-transform which has the ability of partial localization and multi-resolution is used as an analytical tool to conduct a recursion pyramid decomposition of the low frequency part of the fabric.Then beginning from the biggest size level after decomposition,the image is automatically clustered and merged into the high frequency information at the next size level,realizing reconstruction of the texture and automatic segmentation.And finally,Canny operator is used to carry out the contour trace and extraction of the segmented image textures.The experimental results reveal that this algorithm is better suited to jacquard fabrics and gives a theoretical basis for further research.
Source: openalex_inverted_index · Quality: baseline
Research context
OpenAlex topics: Industrial Vision Systems and Defect Detection · Textile materials and evaluations
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
References
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