Inspection method of lattice apron porosity based on image processing
Source abstract
Abstract
It is rather difficult to measure the pore of lattice apron fabric nowadays. To solve this problem,the image processing method is proposed to assay the pores an porosity of the fabric. The scanned image of lattice apron fabric was converted into a binary image by threshold segmentation. The diameter of warp and weft yarns was determined by the projection data of the binary image. The theoretical porosity was calculated according the diameter and density of yarns. The interferential white regions on image were removed by judging whether they were in the body of the yarns or not. Then the binary image was reversed and filtered to remove small white regions. Pore characters such as the number of pores,area size of pores,the distribution of pores and actual porosity were extracted and small pores were marked. The experimental result shows that the pore characteristics by image processing method can objectively reflect the porosity of the lattice apron and the uniformity distribution of the pores. And the rule that the actual,porosity obtained is by far less than the theoretical valueand its causes are explained.
Source: openalex_inverted_index · Quality: baseline
Research context
OpenAlex topics: Textile materials and evaluations · Industrial Vision Systems and Defect Detection
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
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