Search Results - ((reconstruction algorithm) OR (((extraction algorithm) OR (detection algorithm))))

Extraction and reconstruction of retinal vasculature by M.H.A., Fadzil, L.I., Izhar, P.A., Venkatachalam, T.V.N., Karunakar

“…This paper presents the development of an image processing algorithm for detecting and reconstructing retinal vasculature. …”
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Sketch-based 3D modeling of symmetric objects from wireframe sketches on paper by Yahya, Zahrah

“…This application should constitute the essential processes for a computer to understand the paper sketch junctions, depth and connections. Feature extraction is a preliminary step before 3D reconstruction and therefore, a junction detection algorithm is proposed. …”
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A brief review on vessel extraction and tracking methods by Boroujeni, Farsad Zamani, Jahangard, Simindokht, O. K. Rahmat, Rahmita Wirza

“…This step is usually performed by enhancing vessel-like objects in the image, in order to differentiate between blood vessels and background, followed by applying the thinning algorithm to obtain the final output. Another approach is direct extraction of centerline points using exploratory tracing algorithm preceded by a seed point detection schema to provide a set of reliable starting points for the tracing algorithm. …”
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Single-trial visual evoked potential extraction using partial least-squares-based approach by Yanti, D.K., Yusoff, M.Z., Asirvadam, V.S.

“…The simulation results show that the proposed PLS algorithm is capable of reconstructing the EEG signal into its desired shape of the ideal VEP. …”
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Single-trial visual evoked potential extraction using partial least-squares-based approach by Yanti, D.K., Yusoff, M.Z., Asirvadam, V.S.

“…The simulation results show that the proposed PLS algorithm is capable of reconstructing the EEG signal into its desired shape of the ideal VEP. …”
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Blotch removal using multi-level scanning, shape analysis, and meta heuristic techniques by Khammar, Mohammad Reza

“…This post processing algorithm was provided based on a multi-level scanning and shape analysis which was presented for the better performance of high correct detection and lower false alarms for each given threshold. …”
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Development of a phantom and metal artifact correction (MAC) algorithm for post-operative spine computed tomography (CT) imaging / Noor Diyana Osman by Osman, Noor Diyana

“…The artifacts are due to the beam hardening, photon starvation effect, and inappropriate correction algorithm during image reconstruction. Knowledge on factors affecting the artifacts is crucially important to minimize these artifacts. …”
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Performance comparison of classification algorithms for EEG-based remote epileptic seizure detection in wireless sensor networks by Abualsaud, Khalid, Mahmuddin, Massudi, Saleh, Mohammad, Mohamed, Amr

“…Identification of epileptic seizure remotely by analyzing the electroencephalography (EEG) signal is very important for scalable sensor-based health systems.Classification is the most important technique for wide-ranging applications to categorize the items according to its features with respect to predefined set of classes.In this paper, we conduct a performance evaluation based on the noiseless and noisy EEG-based epileptic seizure data using various classification algorithms including BayesNet, DecisionTable, IBK, J48/C4.5, and VFI.The reconstructed and noisy EEG data are decomposed with discrete cosine transform into several sub-bands.In addition, some of statistical features are extracted from the wavelet coefficients to represent the whole EEG data inputs into the classifiers.Benchmark on widely used dataset is utilized for automatic epileptic seizure detection including both normal and epileptic EEG datasets.The classification accuracy results confirm that the selected classifiers have greater potentiality to identify the noisy epileptic disorders.…”
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A novel hybrid edge detection algorithm based on wavelet thresholding and ICA by Moslem Taghizadeh, Mahboobeh Hajipoor

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Enhanced Cuckoo Search Algorithm With Metaheuristic Components For Extracting The Maxima Of The Orientation Distribution Function by Shehab, Mohammad Mohammad Said

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Foreground segmentation-based human detection with shadow removal by Hafiz, Fadhlan, Shafie, Amir Akramin, Khalifa, Othman Omran, Ali, Md. Hazrat

“…The technique we propose includes background subtraction, foreground segmentation, and shadow removal. The proposed detection technique will first try to extract all foreground objects from the background and then moving shadows will be eliminated by a shadow detection algorithm. …”
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Quantitative analysis evaluation of image reconstruction algorithms between digital and analog PET-CT by Chen, Ew-Jun *, Haniff Shazwan, Safwan Selvam, Lee, Hee Siang, Chew, Ming Tsuey *

“…Results demonstrate that both OSEM and HYPER DPR reconstruction algorithms in digital PET-CT has greater spatial resolution, increased detection sensitivity and less image noise when compared to analog PET-CT. …”
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Improving Brain MR Image Classification for Tumor Segmentation using Phase Congruency by Ghazanfar, Latif, Dayang Nur Fatimah, Binti Awg Iskandar, Jaafar, Alghazo, Arfan, Jaffar

“…In order to minimize the extracted feature set, we applied the principal Component Analysis algorithm. …”
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3D surface reconstruction of coronary arteries from cardiovascular angiography to detect location of heart vessels by Khaleel, Hasan Hadi

“…The first step is the coronary artery trees extraction. We proposed an algorithm to extract tree vessels from cardiovascular angiography by removing the background and highlighting the coronary artery tree vessels. …”
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Subspace Techniques for Brain Signal Enhancement by Kamel , Nidal, Yusoff, Mohd Zuki

“…Later, the performance of the algorithms is assessed in their abilities to detect the latencies of the P100, P200 and P300 components. …”
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Feature Extraction and Matching from images / lntan Syaherra Ramli by Ramli, lntan Syaherra

“…This is a fundamental task for many applications such as 30 point cloud reconstruction and pattern recognition. In this task, feature extraction is used to detect the unique feature point from the images. …”
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G2 parametric curve and surface fitting using beta-spline / Normi Abdul Hadi by Abdul Hadi, Normi

“…Beta-spline surface is then fitted to the extracted data points from each slice. The developed surface fitting algorithm is applied on 3D Computerized Tomography (CT) image of human face and Stanford bunny. …”
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Image authentication using Zernike moment watermarking by Shojanazeri, Hamid

“…In case of authenticity failure, a comparison between recovered Sobel edge map and recently obtained Sobel edge map from the watermarked image detect the location of tampered areas. The results from the test show that the proposed algorithm has good performance in discriminating the malicious from non-malicious modifications which is the main character of an image authentication algorithm. …”
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Circumference determination and data extraction of two-dimensional circle / Siti Sarah Raseli ... [et al.] by Raseli, Siti Sarah, Abdul Ghafar, Nurul Munirah, Mahat, Norpah, Rosaidi, Nor Alifah

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Development of computer aided three-dimensional geometric modeler based on designer's idea in twodimensional by Haron, Habibollah

“…This study has proposed better solutions in terms of an enhanced thinning algorithm, a modified Freeman chain code and Vertex chain code algorithm as picture description language, and a new computational algorithm and neural network classifier for corner detection. …”
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