Opaque document imaging: building images of inaccessible texts
Computer Vision, 2005. ICCV 2005. Tenth IEEE International Conference（2005）
摘要
This paper introduces a method for building a readable image of an opaque, rolled or folded text from a volumetric, penetrating scan. The problem is framed by localizing, constructing, and manipulating an image induced by a surface embedded in a 3D voxel space. There are two central contributions that lead to the demonstrated results. First is an energy-based texture formation algorithm, which is a function of voxel intensities and the geometry of the embedded surface. Second is a regularization algorithm based on a constrained mapping of the embedded surface to a regularized image plane. The mapping preserves angles and lengths, which minimizes the distortion of text in the image. The experimental results show readable images derived from custom, high resolution (X-ray-based) CT scans of rolled papyrus and ink samples. These methods are significant for scholars seeking to study inaccessible texts, and may lead to viable techniques for scanning everyday opaque objects (books) without opening them.
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关键词
voxel intensity,voxel space,opaque document imaging,energy-based texture formation algorithm,computerised tomography,inaccessible text,high resolution ct scan,image resolution,folded text,rolled papyrus,building images,readable image,embedded surface geometry,3d voxel space,rolled text,inaccessible text imaging,image reconstruction,embedded surface,inaccessible texts,text distortion,regularization algorithm,regularized image plane,readable image building,everyday opaque object,constrained mapping,volumetric penetrating scan,document image processing,geometry,ct scan
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