Results of using thresholding method
R–Peak Detection of ECG Signal using Thresholding Method
... that thresholding is a simple technique and takes lesser time to give the results,therefore, the proposed method used for detecting R-peak for heart rate detection is ...
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Image Segmentation of Cows using Thresholding and K-Means Method
... The thresholding method begins by inputting a digital image then performing a sharpened grayscale process with edge detection and dilation ...K-Means method would segment the image into two (2) ...
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ECG SIGNAL PROCESSING USING BPNN & GLOBAL THRESHOLDING METHOD
... Back propagation or propagation of error, is a common method of teaching artificial neural networks how to perform a given task. The back propagation algorithm is used in layered feed-forward ANNs. This means that ...
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IMAGE ENHANCEMENT IN CASE OF UNEVEN ILLUMINATION USING VARIABLE THRESHOLDING METHOD
... which results in poor understanding about the content of the ...enhancement method. The proposed method is based on a local gamma correction piloted by histogram ...accurate method that not ...
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Extraction of Chondromalacia Knee Cartilage Using Multi Slice Thresholding Method
... segmentation method is able to precisely differentiate indi- vidual cartilage structures and perform extraction of cartilage structure and adjacent pathological ...segmentation method transform MRI data to ...
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A New Multilevel Thresholding Method Using Swarm Intelligence Algorithm for Image Segmentation
... Experimental Results and Discussions In this section, the effectiveness and feasibility of the proposed PSO method for multilevel thresholding is ...
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Moving Object Segmentation using Enhanced Laplacian Thresholding Method for Video Surveillance
... 5. CONCLUSION A new method is proposed to automatically segment multiple moving objects in a video sequence. Different types of videos were collected and the algorithms were applied which segmented the moving ...
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Measuring the Severity of Fungi Caused Disease on Leaves using Triangular Thresholding Method
... only reduce the yield but can also deteriorate the variety of such plants and its withdrawal from cultivation. Plant diseases especially leaf diseases are usually curbed using insecticides, fungicides and ...
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A New Soft-Thresholding Image Denoising Method
... derived using the Bayesian method [7-8]. BayesShrink method is a subband-dependent which means that the thresholding is done at each subband in the wavelet ...wavelet thresholding is ...
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Detection of suspicious lesion based on Multiresolution Analysis using windowing and adaptive thresholding method
... incorrect results will be ...adaptive thresholding, window based adaptive thresholding and adaptive thresholding based on multiresolution ...experimental results are discussed and ...
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Medical Image Compression using Standard Deviation Based Wavelet Coefficients Thresholding Method
... improved thresholding and quantization techniques for image compression is ...The results are then compared to the existing algorithms and it is found that the proposed compression algorithm shows double ...
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A Novel Mining Approach for Automatic Disease Detection in Sugarcane Plant Using Thresholding Method
... The bar graph [8] matching is employed for distinctive diseases of plants. It detects the leaf diseases, supported edge detection and color feature technique. Coaching samples uses layers separation technique that ...
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An efficient method based on ABC for optimal multilevel thresholding
... bi-level thresholding techniques have been proposed in recent ...multilevel thresholding owing to exponential growth of computational ...multilevel thresholding algorithm using Artificial Bee ...
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Robust Identification and Measurement of the Intima Media Thickness to Find Severeness of Cardiac Diseases Using Thresholding Method
... detection method using threshold is proposed in this study. The results will help the doctors and radiologist for further ...detection method using threshold is proposed in this ...
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A Framework with OTSU’S Thresholding Method for Fruits and Vegetables Image Segmentation
... We live in a digital world where digital Image plays a crucial role of conveying information through different medium [1]. Image processing has been widely used in assessing the quality of agriculture products. The ...
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A new image thresholding method based on Gaussian mixture model
... a thresholding method based on Gaussian mixture ...Experimental results show that our method can achieve better threshold result and it is more ...this method is still dependent on the ...
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A Based Bayesian Wavelet Thresholding Method to Enhance Nuclear Imaging
... Obtained results proved the performance of the proposed ...the method succeeded to improve nuclear images quality, by reducing counting statistics fluc- tuations, but also it enhanced their quality and made ...
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Image De Noising using Method Noise Thresholding
... and Method Noise Thresholding for ...productive method for de-noising the synthetic aperture radar ...filtered using the DB4 wavelet transform ...restoring results as compared to the ...
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The Optimal Thresholding Technique for Image Segmentaion Using Fuzzy Otsu Method
... 4. RESULTS AND ANALYSIS To elucidate the performance of the proposed methodology, we consider 17 images as an image set, it contains similar and dissimilar gray level histogram characteristics, changing from uni ...
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Fast hard thresholding with Nesterov's gradient method
... Model-based recovery. Figure 2 (a) and (b) show the phase transition of NIHT with positive k- sparse signals, using Gaussian and Fourier sensing matrices. As before, the ` 1 -magic results are also provided ...
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