Titlebook: ;

yohimbine

秘密會(huì)議

Hierarchical Plausibility-Graphs for Symbol Spotting in Graphical Documentss 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

致敬

Towards Searchable Line Drawings, a Content-Based Symbol Retrieval Approach with Variable Query Compwings. 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

TRACE

Modify

Modified Weighted Direction Index Histogram Method for Schema Recognition 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

欲望小妹

期滿

Visual Saliency and Terminology Extraction for Document Classificationt 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

Parley

Unsupervised and Notation-Independent Wall Segmentation in Floor Plans Using a Combination of Statisre-annotated data for learning, and is able to segment multiple-shaped walls such as beams and curved-walls. This method results from the combination of the wall segmentation approaches [., .] presented recently by the authors. Firstly, potential straight wall segments are extracted in an unsupervis

柳樹；枯黃

Detecting Recurring Deformable Objects: An Approximate Graph Matching Method for Detecting Characterre 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

synchronous

Runlength Histogram Image Signature for Perceptual Retrieval of Architectural Floor Plansctural drawing is characterized by the perception of lines, shapes and texture. Such visual stimuli are the basis for defining semantic concepts as space properties, symmetry, density, etc. We propose runlength histograms extracted in vertical, horizontal and diagonal directions as a characterizatio