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Computerized embroidery needs outline capturing of color images and stitch filling. Embroidery machines can make stitch filling according to color blocks in different areas. Considering the character of stitching of embroidery machines and referring to color image morphology, this thesis puts forward multi-scale graphic outline capturing algorithm based on color embroidery pattern of HIS space. And a variety of edge detection algorithms were compared. Experiment results show that this method can effectively control impact of noise on images. And the effect of image capturing can meet requirements of embroidery patterns.
With the improvement of mechanization, both large-scale computerized embroidery machines and small-sized home embroidery machines have gained rapid development, which demonstrates development of computerized embroidery technology. Currently, it’s convenient to capture images while it’s hard to convert images into embroidery files. The latter job needs to be finished by professional software and expert pattern makers. Current home embroidery machines don’t have matched pattern and making software and converting images into embroidery files automatically still need to be explored. This thesis makes outline capturing in order to set a good foundation for making of pattern files by stitching filling based on the outline that can be recognized by embroidery machines. usha tailoring machine in chennai, perambur, mylapore, madipakkam
Border detection plays a very important role in image processing. At present, border detection of gray images has gained remarkable achievement while that of coloured images still needs improvement. Gray images can be seen as two-dimensional and plane while coloured images can be seen as three-dimensional and stereo. When detecting border of coloured images, we can divide them into three two-dimensional gray images and thus apply border detection method of gray images into coloured images
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