Adaptive threshold
Passive Sonar Target Detection Using Statistical Classifier and Adaptive Threshold
... Abstract: This paper presents the results of an experimental investigation about target detecting with passive sonar in Persian Gulf. Detecting propagated sounds in the water is one of the basic challenges of the ...
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Traffic Density Analysis based on Image Segmentation with Adaptive Threshold
... private adaptive threshold. The calculation of adaptive threshold was improved from Otsu threshold and histogram of grayscale traffic ...
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Impulse Noise Removal Based on Adaptive Threshold Technique
... The adaptive threshold algorithm is suitable for efficient removal of impulse noise in high noise ...on adaptive threshold algorithm, a low cost FPGA-based flexible architecture with a ...
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An Approach for Analyzing keyframes based on Self Adaptive Threshold and Scene Descriptors
... as threshold values for retrieving background information key frames, determining the threshold values manually is a complex ...self-adaptive threshold for determining the background ...
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An improved infrared image processing method based on adaptive threshold denoising
... hard threshold functions are analyzed in depth, and an adaptive threshold function with adjustable parameters is constructed, and a double threshold map- ping method is used to process ...
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Adaptive threshold scheme for touchscreen gesture continuous authentication using sensor trust
... the threshold for the sensor data ...the threshold adaption is too infrequent to adapt in ...an adaptive threshold. The adaptive threshold is computed using a function based on ...
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Real time electrocardiogram QRS detection using combined adaptive threshold
... and adaptive threshold. The threshold combines three parameters: an adaptive slew-rate value, a second value which rises when high-frequency noise occurs, and a third one intended to avoid ...
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Apply Adaptive Threshold Operation and Conditional Connected component to Image Text Recognition
... utilizing adaptive threshold operation and conditional connected-component in solving the problems of complicated background and non-uniform lightness situation to correctly identify the text ...local ...
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Photon Counting Image Fusion Algorithm Based on Adaptive Threshold of Regional Energy
... on adaptive threshold of regional energy fusion ...and adaptive threshold deviation are calculated. And the adaptive threshold is determined by pixel values and mean values of ...
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Point estimation following two stage adaptive threshold enrichment clinical trials
... Recently, several study designs incorporating treatment effect assessment in biomarker-based subpopulations have been proposed. Most statistical method- ologies for such designs focus on the control of type I error rate ...
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An Approach For Noisy Speech Enhancement Through Soft Thresholding Function By Employing The Teager Energy Operation On Wavelet Packet
... the threshold has the capability to be adapted with speech/silence ...of threshold determination directly from the WP coefficients of the noisy speech, we determine an appropriate threshold by ...
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Performance Analysis of Segmentation Techniques
... above threshold is converted into 1 and all the value below threshold is converted into 0 which make a binary ...organ. Adaptive thresholding is an advanced version of global thresholding in which we ...
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A novel pre processing and adaptive statistical threshold for sphere detection in MIMO systems
... proposed adaptive threshold is used to judge whether a traversed path is correct or not and obtained by analyzing the distributions of the correct and erroneous estimates which have the minimum error ...
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Image segmentation: Determination of joint space area in hand radiographs
... Threshold is used to form a binary. Adaptive threshold can be termed as a different threshold when the threshold used for different regions in the image. Usually, the object pixel rated ...
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Detection of the Road Pothole Contour in Raster Images
... For experiments, OpenCV [30] implementation of the Adaptive threshold method with the weighted mean was used. In this implementation, all the weights can be uniform or distributed according to the Gaussian ...
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Novelty detection methods for online health monitoring and post data analysis of turbopumps
... the adaptive threshold model developed in this study produces threshold intervals more adaptive than the incremental learning model developed in ...the adaptive model and the ...
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Efficient Adaptive Detection Threshold Optimization for Tracking Maneuvering Targets in Clutter
... optimal threshold based on target SNR ...the adaptive threshold setting (maybe not the best) given that the SNR is ...detection threshold so as to optimize the overall tracking performance ...
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Energy Efficient Homogeneous WSN protocols : An Analysis
... soft threshold. Hard threshold is the minimum value of the attribute that activates the communication from node to the cluster head and soft threshold is small change in the value of the sensed ...
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Cellular handover approach for better efficiency in 3G cellular system
... Looking at the above results, we can easily infer that the adaptive threshold algorithm works much better than the fixed threshold algorithm. The algorithm also includes load balancing which is a ...
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A FUZZY APPROACH FOR REPRESENTATIVE NODE SELECTION IN CROSS LAYER TCP
... (MFF), Adaptive Threshold Mean (AT-Mean) algorithm and Adaptive Threshold Median (AT-Median) Algorithm in different levels of noise ...
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