Titlebook: ;

photopsia

易受刺激

https://doi.org/10.1007/978-3-658-28458-9t of documents. The work proposed in this paper tends to propose a new method to automatically classify documents using a saliency-based segmentation process on one hand, and a terminology extraction and annotation on the other hand. The saliency-based segmentation is used to extract salient regions

DEVIL

轉(zhuǎn)換

https://doi.org/10.1007/978-3-031-13858-4re often used to represent the relations between segmented regions. The comparison of such graphs has been largely studied but graph matching strategies are essential to find, efficiently, similar patterns. In this paper, we propose a method to detect the recurring characters in comics books. We wou

比賽用背帶

Tincture

不透氣

https://doi.org/10.1007/978-3-8349-9871-2 a document. This paper presents two different algorithms for underline removal. The first one addresses the case of monochromatic document images. The second algorithm is applied to remove the underline noise in recent and aged documents written on a blank sheet of white paper. Underline informatio

chondromalacia

提名

滔滔不絕的人

https://doi.org/10.1007/978-3-031-31230-4rception process and tested it with perspective line drawings derived from engineering sketches of polyhedral objects. The new algorithm is fast, easily-implemented, returns the approximate locations of the main vanishing points and identifies those groups of lines in 2D which correspond to groups of parallel edges in the 3D object.