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fast line detection algorithm

Fast Straight Line Detection Method Based on Directional Coding

Fast Straight Line Detection Method Based on Directional Coding

... a fast straight line detection method based on directional coding(DCHT) is described in this ...The algorithm turns the exhausted task of voting for all directions into an elegant task by ...

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Sprite Region Allocation Using Fast Static Sprite Area Detection Algorithm

Sprite Region Allocation Using Fast Static Sprite Area Detection Algorithm

... Sprite coding was introduced and standardized in MPEG-4. The fundamental origination of this coding approach is to fragment the video noctent of the input video into two fragments; foreground and background ocejno (Krutz ...

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Fast Adaptive Reconstruction Algorithm for Line Spectrum Pair Parameters Based on Compressed Sensing

Fast Adaptive Reconstruction Algorithm for Line Spectrum Pair Parameters Based on Compressed Sensing

... Abstract. Line Spectrum Pair Parameters (LSF) are important parameters in low rate speech ...reconstruction algorithm. At the encoding end, the algorithm performs frame type discrimination on the LSF ...

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COPY-MOVE FORGERY DETECTION USING ORB AND SIFT DETECTOR

COPY-MOVE FORGERY DETECTION USING ORB AND SIFT DETECTOR

...  Key-Point Based Methods: Key-points based methods; input image is firstly divided into corner or isolated points to provide local features description of the image. The key-point algorithm for detecting of ...

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Gradient image generator hardware/software co-design

Gradient image generator hardware/software co-design

... A new generation of cameras that have been appeared since the late 1990s is called smart cameras. A smart camera is not just a camera that take pictures but it can perform tasks and do some processing depending on ...

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Moving object detection for automobiles by the shared use of H 264/AVC motion vectors : innovation report

Moving object detection for automobiles by the shared use of H 264/AVC motion vectors : innovation report

... region detection, there have been studies on the classification of road model by edge detection and perspective transformation (He and Wang et ...region detection on roads with no marking (Ramstrom ...

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Fast and robust stereo matching algorithm for obstacle detection in robotic vision systems

Fast and robust stereo matching algorithm for obstacle detection in robotic vision systems

... In this paper, we propose a new area-based stereo matching method by improving the classical Census transform. It is a difficult task to match the corresponding points in two images taken by stereo cameras, mostly under ...

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High Efficient Sign detector for Residue Number System

High Efficient Sign detector for Residue Number System

... sign detection in {2 n −1, 2 n , 2 n +1} can be made very efficient provided that scaling by 2 2n − 1 as well as the reverse conversion of the scaled residues into Y can be computed efficiently from the residues x ...

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Supervised UFR (UFR Fast Regression) Machine Learning Algorithm for Enhancing Performance of Intrusion Detection System

Supervised UFR (UFR Fast Regression) Machine Learning Algorithm for Enhancing Performance of Intrusion Detection System

... threat detection in training network ...(ML) algorithm similar to those of human learning approach which acquires knowledge from previous ...learning algorithm are ...

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Transmission Line Fault Detection using BFONN

Transmission Line Fault Detection using BFONN

... In recent years, power systems have been very difficult to manage as the load demands increase and environment constraints restrict the transmission network. Three main factors cause voltage instability and collapse. The ...

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Comparison of Morphological and Edge detection,  Line Operator based Retinal Blood Vessel Detection Algorithm

Comparison of Morphological and Edge detection, Line Operator based Retinal Blood Vessel Detection Algorithm

... Table 1 Results obtained for images from High Resolution Fundus (HRF) database, bankers database and ‘diaretdb’ database Though, a major drawback using this method is that when the blood vessel are extracted using ...

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An Improvement of Pedestrian Detection Method with Multiple Resolutions

An Improvement of Pedestrian Detection Method with Multiple Resolutions

... overall detection effect can be improved if we can improve the detection effect for low resolution pede- strians and prevent affecting the detection effect for high resolution ...pedestrian ...

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EFFICIENT AND FAST CLUSTERING ALGORITHM FOR REAL TIME DATA

EFFICIENT AND FAST CLUSTERING ALGORITHM FOR REAL TIME DATA

... Distribution-based clustering is a semantically strong method, as it not only provides you with clusters, but also produces complex models for the clusters that can also capture correlation and dependence of attributes. ...

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The Influence Of Illumination Variety On Repeatability Quality Of Feature Detectors Using Discrete Cosine Transform Algorithm

The Influence Of Illumination Variety On Repeatability Quality Of Feature Detectors Using Discrete Cosine Transform Algorithm

... Tables 1 and 2 above are tthe result of calculations from the database head pose using the five detector features. From each picture, it appears left and right used 15 points each. Match between keypoints is the correct ...

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Fast convergent average consensus of multiagent systems based on community detection algorithm

Fast convergent average consensus of multiagent systems based on community detection algorithm

... tain bounded length in the presence of arbitrarily bounded communication delays. Xu et al. [19] obtained the output consensus problem of discrete-time heterogeneous linear multiagent systems with switching topology and ...

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A Structure Sensitive Algorithm for Building Feature Line Extraction from LiDAR Data

A Structure Sensitive Algorithm for Building Feature Line Extraction from LiDAR Data

... Point Detection and Point Parameters ...the detection of the edge points, each point’s direction and ρ value is estimated by fitting the point sets that consist of the center point and its neighboring ...

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PSO GA Algorithm Based Cyberbullying Detection

PSO GA Algorithm Based Cyberbullying Detection

... social network and performs an in-depth analysis of the evaluation of the social behavior of a user. Following agents are proposed in this scheme: User, Manager, Analyzer, and Monitor. The data model used in this scheme ...

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Finger Vein Enhancement Using Segmentation and SVM

Finger Vein Enhancement Using Segmentation and SVM

... Repeated Line Tracking , Gabor Filter and Segmentation and SVM works comparatively to evaluate analysis them with more popular technique score-level fusion approaches to certain information details their ...

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A Space-Frequency Anti-Jamming Algorithm Based on Sub-Band Energy Detection

A Space-Frequency Anti-Jamming Algorithm Based on Sub-Band Energy Detection

... STAP algorithm has a large amount of computation due to calculating the inverse of the covariance matrix, so that the low-complexity sub-optimal solution space-frequency adaptive processing (SFAP) algorithm ...

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An Effective Algorithm for Power Line Detection from UAV Images

An Effective Algorithm for Power Line Detection from UAV Images

... PLD algorithm was performed on a MATLAB software and the results were compared with the same samples simulation using a Gabor Filter with Hough transform (GF-HT) PLD algorithm based on positive ...

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