Painting automatic enframing method based on edge detection and image splicing
An image stitching and edge detection technology, applied in the field of image processing, can solve problems such as hindering the sales of oil paintings
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[0043] see figure 1 , an automatic painting and calligraphy frame matching method based on edge detection and image stitching, realized through software programming, specifically, based on the cross-platform computer vision library OpenCV, which can run on operating systems such as Linux, Windows and Mac OS. Including the following steps:
[0044] Step 1, read the input frame image and portrait image to be processed.
[0045] Specifically, use the modal dialog box to obtain the relative address of the incoming image. The image types that can be used include images in .jpg, .png and other formats, and store them in the data structure of IplImage as pImgSrc and pyuantu, respectively Indicates the loaded frame image and portrait image.
[0046] Step 2, using the canny algorithm to perform edge detection on the picture frame image to obtain an edge information image.
[0047] Specifically, the following steps are included:
[0048] (1) Use the cvCvtColor function to convert th...
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