图像关键区域分割的三维立体成像研究

Research on 3D Stereo Imaging Based on Image Region Segmentation Technology

针对图像立体成像问题存在建模制作过程复杂、成本高、周期长等问题,提出了一种新的基于图像关键区域分割的三维立体成像算法,利用图像关键目标区域的边缘检测、结合图像矫正及透视变换,最后通过分割图像的融合,将二维图像中的关键区域转换成立体图像,使图像形成感官立体化的裸眼3D仿真效果。本算法首先通过图像关键区域分割得到目标图像和背景图像,然后将目标图像进行处理,通过透视变换将其矫正,再对矫正后的图像偏移,进行灰度化处理,最后叠加融合达到图像加厚的目的,形成视觉上的立体化效果。实验结果表明,这种方法可以对复杂度不同的图像进行处理,对单个目标物体和多个目标物体都能产生立体效果。

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.