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In this paper, we propose a novel line segment detector, named as NETLines, which can produce a set of accurate line segments and a set of node-connected line-networks formed by connection of the line segments and the image boundary. Based on the line segments generated by other line segment detectors (e.g., EDLines [1]) on an edge map, the proposed algorithm efficiently makes use of the gradient...
Text detection in complex real images, such as panorama images, remains great challenging in Computer Vision. A general method often focuses on the small test images with single background which makes it easier to do the detection and recognition. In this paper, we find a novel approach, as it can automatically deal with the indoor panorama images which contains distortion and illumination problems...
Research on the diffusion effect of micro-blog plays an important role in improving marketing efficiency, strengthening monitoring public opinion and accurately discovering hotspot etc. To solve the problems not taking users' differences into consideration in the previous research, this paper proposes an algorithm to predict scale and depth of retweet massages based on analysis of retweet behavior...
In modern society, the automatic vehicle license plate (VLP) detection has been widely used in the fields of intelligent transportation system (ITS) in order to build an effective automatic traffic management system. As VLPs are salient to human visual system, we propose a novel method for VLPs detection based on saliency mechanism. The proposed method mainly contains three parts. The first part is...
Porcine reproductive and respiratory syndrome virus (PRRSV) infection results in extensive tissue inflammation and damage, which are believed to be responsible for increased susceptibility to secondary infection and even for death. However, its pathogenic mechanisms are not fully understood. To explore the mechanism underlying the PRRSV-induced tissue inflammation and damage, we investigated whether...
This paper presents a method to generate test cases for sequential programs and concurrent programs written in a flow based program language. Test cases of sequential programs are generated based on condition calculation, and can be combined together to form SYN-sequences for concurrent program testing. Semantics of the language provides an infrastructure for the test case generation, and thus our...
Based on Continuous Petri Net, we build differential equation model for concurrent programs. The program behavior can be analyzed from the curves of the solutions of the differential equations. We show that a program state can be measured with a number between 0 and 1, called state measure, indicating how much the state can be reached while the program is in execution. Thus, instead of displaying...
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