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| Research on 3D Stereo Imaging Based on Image Region Segmentation Technology |
| College of Computer andArtificial Intelligence |
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Abstract Aiming at the problems of complex modeling process, high cost and long cycle, this paper proposes a new 3D imaging algorithm based on the segmentation of key areas of images. By using the edge detection of key target areas of images, combined with image correction and perspective transformation, the key areas of two-dimensional images are converted into three-dimensional images through the fusion of segmented images, so that the images can form three-dimensional naked eye 3D simulation effect of the senses. The algorithm firstly gets the target image and the background image through the segmentation of the key areas of the image,and then processes the target image, corrects it through perspective transformation, and then migrates the corrected image, carries on the grayscale processing, and finally overlays and fuses to achieve the purpose of thickening the image, and forms the three-dimensional effect on the vision. Experimental results show that this method can process images with different complexity, and can produce stereoscopic effects on both single object and multiple objects.
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Published: 10 January 2021
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