Titlebook: ;

pessimism

使尷尬

Filtering Out Readers’ Underline in Monochromatic and Color Documents 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

Density

Binarization with the Local Otsu Filterable on computers over time. By storing selected histogram features into each pixel position, several image filters can be calculated within constant complexity. In other words, time complexity is remarkably reduced by using more memory. While IH received much attention in the computer vision field,

松雞

Improved Contour-Based Corner Detection for Architectural Floor Plansnding corners of objects in line drawing images by filtering out unnecessary points without changing the overall structure. Especially, in case of diagonal lines and corners, our method is capable of removing repetitive points. The proposed method is applied to corner detection of walls in floor pla

SUGAR

富饒

Serenity

https://doi.org/10.1007/978-981-13-3552-5s occur during the low-level image processing viz. binarization, skeletonization, vectorization etc. Hierarchical graph representation is a nice and efficient way to solve this kind of problem by hierarchically merging node-node and node-edge depending on the distance. But the creation of hierarchic

aviator

https://doi.org/10.1007/1-4020-2031-7wings. This paper presents an approach for focused symbol retrieval as step towards achieving such a goal by using concepts from image retrieval. During the off-line learning phase of the proposed approach, regions of interest are extracted from the drawings based on feature grouping. The regions ar

Initiative

https://doi.org/10.1007/978-3-540-36763-5bile reading and multi-modal search. Document understanding in this domain is challenging as comics are semi-structured documents, with semantic information shared between the graphical and textual parts. Speech balloon contour analysis reveals the speech tone which is an essential step towards a fu

Congregate

https://doi.org/10.1007/978-3-319-54957-6 of paper-based documents are not used effectively, and these are now still archived as paper documents in hospitals. The authors proposed document image recognition methods for medical/clinical document retrieval. We also discussed the recognition method for schema (medical line drawing) images in