feature detector
Independent Feature Detector for Image Quality Assessment
... The simplest and most widely used IQA scheme is the mean squared error (MSE) or peak signal-to-noise ratio (PSNR). However, it is well known that MSE/PSNR does not always agree with the subjective evaluation results. In ...
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Throughput Estimation with Noise Uncertainty for Cyclostationary Feature Detector in Cognitive Radio Network
... Probability of detection versus probability of false alarm with SNR variation for feature detector is shown in Figure 1. As it could expected, the performance of feature detector decreases ...
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Registration of Ultrasound Images Using an Information-Theoretic Feature Detector
... information-theoretic feature detector, which is based on statistical modeling of speckle and provides a feature image that robustly delineates impor- tant edges in the ...These feature images ...
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Registration of Ultrasound Images Using an Information-Theoretic Feature Detector
... information-theoretic feature detector, which is based on statistical modeling of speckle and provides a feature image that robustly delineates impor- tant edges in the ...These feature images ...
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A novel linear feature detector for SAR images
... In this article, a new multiscale linear feature detector named MLFD and its application to road network extrac- tion from SAR images are presented. Thanks to the mul- tiscale thinking, MLFD can extract ...
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A simple, biologically plausible feature detector for language acquisition
... The critical difference between the simultaneous 861 and the combined model is that there are no connections between the source layer 862 and the inhibition layer that code for the same [r] ...
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Video Co-segmentation Based on Speed up Robust (SURF) Feature Detector
... robust feature transform uses an entire number gauge of the determinant of Hessian blob pointer, which can be handled with 3 number operations using a precompiled vital ...
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ISSN: 2321-8363 Impact Factor: 5.515
... Invariant Feature Transform being a texture based local feature detector and descriptor that transforms an image into a large collection of local feature vectors each of which is reasonably ...
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A Novel Technique of Image Mosaicing based on Discrete Wavelet Transform and its Performance Evaluation
... of feature point should be repeatable i.e. same feature points should be detected in every simulation of the ...for feature point detection such as Harris corner detector [9], SUSAN operator ...
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An information-theoretic detector based scheme for registration of speckled medical images
... their feature detection results are shown in ...Fisher-Tippett feature detector produces cleaner edge as it robustly identifies the important features without many false detections due to speckle ...
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Stock Prediction using ARMA
... low-level feature extraction techniques are used together in image mosaicing algorithms in order to use their respective ...corner detector and SIFT detector in their feature-based mosaicing ...
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Selecting surface features for accurate multi camera surface reconstruction
... various feature detectors, many performance measures have been suggested, including: Repeatability, Distinctiveness, Locality, Quantity, Accuracy and Effi- ciency ...Harris detector [7] offered the best ...
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An information-theoretic detector based scheme for registration of speckled medical images
... their feature detection results are shown in ...Fisher-Tippett feature detector produces cleaner edge as it robustly identifies the important features without many false detections due to speckle ...
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Feature Based Retinal Image Registration Using D Saddle Feature
... of feature points on the low-quality region that consists of vessels of varying contrast and ...recent feature detector known as Saddle detects feature points on vessels that are poorly ...
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Hybrid Spectrum Sensing Algorithm for Cognitive Radio Network
... based detector and then from Cyclostationary feature ...based detector is used to verify whether primary user is present or ...as detector when energy detector is not sure about the ...
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Application of Artificial Neural Network Techniques in Text Recognition from an Image
... [30] Xiangrong Chen and A.L. Yuille. Detecting and reading text in natural scenes. In Computer Vision and Pattern Recognition, volume 2, 2004. [31] Adam Coates, Honglak Lee, and Andrew Y. Ng. An analysis of single-layer ...
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Intelligent Image Classification-Based on Spatial Weighted Histograms of Concentric Circles
... as feature extraction [39, 8, 9] and intermediate feature representation [21, 22, 7] techniques to improve classifica- tion ...For feature representation, they use Kernel Collaborative ...
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HIGH PERFORMANCE LIQUID CHROMATOGRAPHY DETECTORS - A REVIEW
... materials. Detector is the heart of an instrument and efficiency of system is dependent upon detecting ...performance feature such as refractive index detector, ultraviolet detector, ...
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Frontal Face Clustering In Video Surveillance
... Face detection is required as the first step of the automatic face analysis system.This work has been widely investigated in recent years because it overlies many areas of application: face recognition, man-machine ...
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Implementation of Automated Personalized Viola Detector
... Viola detector performs face detection that will overcome shortcoming of conventional viola Jones ...Haar feature extraction, integral image representation, Adaboost and cascade ...
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