基于深度的分割-综述

Neetika Gupta, Weipeng Xu, Divya Kamboj
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引用次数: 1

摘要

计算机视觉描述了一些典型的任务,如运动分析,场景重建,图像恢复和图像分割。在分割图像时可以演示大量的任务。目标可能被描述为“从背景中提取物体”或“分析图像中的尖锐边缘”。目标可以是任意的,但是应该准确地选择和评估可视化图像不同部分之间差异所需的初始信息。本文讨论了图像像素的深度值这一初始信息,并阐述了其在图像分割领域中的重要性。此外,本文还介绍了在分割过程中产生深度信息的一些典型技术,可以单独使用,也可以与颜色等其他像素值结合使用。
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Depth-based segmentation — A review
Computer Vision describes some of its typical assignments as motion analysis, scene reconstruction, image restoration and image segmentation. Enormous tasks could be demonstrated while segmenting an image. The goal might be stated as, “Extraction of object from background” or “Analysing sharp edges in the image”. The goal could be any, but the initial information needed to visualize the difference between different segments of image, should be accurately picked and evaluated. This paper talks about such an initial information i.e. depth value of image pixels and gives an insight of its importance in the field of Image segmentation. Moreover, the paper also describes some of the typical techniques to incur depth information in the process of segmentation, solely or combined with other pixel values like color.
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