Search Results - (( based estimation method algorithm ) OR ( _ visualization study algorithm ))

Natural image noise level estimation based on local statistics for blind noise reduction by Khmag, Asem, Ramli, Abd Rahman, Sy Mohamed, Sy Abd Rahman Al-haddad, Kamarudin, Noraziahtulhidayu

“…This study proposes an automatic noise estimation method based on local statistics for additive white Gaussian noise. …”
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Denosing of natural image based on non-linear threshold filtering using discrete wavelet transformation by Khmag, Asem, Ramli, Abdul Rahman, Syed Mohamed, Syed Abdul Rahman Al-Haddad, Hashim, Shaiful Jahari

“…In this study the result shows that the proposed denoising algorithm based on semi-soft threshold algorithm outperforms the traditional wavelet denoising techniques in terms of visual quality and subjective scales, where it preserved the edges, ridges details of the reconstructed image and the quality of visualization shape as well. …”
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EEG-based brain source localization using visual stimuli by Jatoi, M.A., Kamel, N., Malik, A.S., Faye, I., Bornot, J.M., Begum, T.

“…According to the spatial resolution provided, the algorithms are categorized as either low resolution methods or high resolution methods. …”
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Decoding of visual activity patterns from fMRI responses using multivariate pattern analyses and convolutional neural network by Zafar, R., Kamel, N., Naufal, M., Malik, A.S., Dass, S.C., Ahmad, R.F., Abdullah, J.M., Reza, F.

“…General linear model (GLM) is used to find the unknown parameters of every individual voxel and the classification is done using multi-class support vector machine (SVM). MVPA-CNN based proposed algorithm is compared with region of interest (ROI) based method and MVPA based estimated values. …”
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Subspace Techniques for Brain Signal Enhancement by Kamel , Nidal, Yusoff, Mohd Zuki

“…Further, the subspace methods under study are applied to estimate visual evoked potentials (VEPs) which are highly corrupted by spontaneous electroencephalogram (EEG) signals. …”
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Tumor Extraction for Brain Magnetic Resonance Imaging Using Modified Gaussian Distribution by Salih Al-Badri, Qussay Abbas

“…A gain-based correction method; probability density function model are used to cluster white and gray matters, cerebrospinal fluid, and meninges. …”
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Towards a unified image quality assessment technique for cross-content image processing applications by Baqar, Mohtashim *

“…In summary, the study develops algorithms for accurate image quality prediction, refining images, and enhancing visual quality. …”
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Visual feedback–based heading control of autonomous underwater vehicle for pipeline corrosion inspection by Khan, A., Ali, S.S.A., Meriaudeau, F., Malik, A.S., Soon, L.S., Seng, T.N.

“…The visual feedback and corrosion estimation rely on the same image data during the inspection of the pipeline, hence, reducing the complexity of the overall algorithm. …”
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A Salient Based Bag of Visual Word model (SBBoVW): improvements toward difficult object recognition and object location in image retrieval by Mansourian, Leila, Abdullah, Muhamad Taufik, Abdullah, Lilli Nurliyana, Azman, Azreen, Mustaffa, Mas Rina

“…Contributions lied in the present study are two-fold. One is to introduce a new approach, which is a Salient Based Bag of Visual Word model (SBBoVW) to recognize difficult objects that have had low accuracy in previous methods. …”
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Generalized Subspace Approach for Measurements of Visual Evoked Potentials by Yusoff, Mohd Zuki

“…Estimating a visual evoked potential (VEP) from the human brain is challenging since its signal-to-noise ratio (SNR) is generally very low. …”
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Surface Thermo-Dynamic Characterization of Poly (Vinylidene Chloride-Co-Acrylonitrile) (P(VDC-co-AN)) Using Inverse-Gas Chromatography and Investigation of Visual Traits Using Comp... by Vijay Kakani, Hakil Kim, Praveen Kumar Basivi, Pasupuleti Visweswara Rao

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EEG-and MRI-based epilepsy source localization using multivariate empirical mode decomposition and inverse solution method by Khosropanah, Pegah

“…Few studies considered eye blink artifact removal for purpose of epilepsy source localization studies and most of them used either visual inspection or computer-based approaches which still need of experts’ supervision. …”
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Generalized Subspace Approach for Measurement of Latencies in Visual Evoked Potentials by Yusoff, Mohd Zuki

“…Estimating a visual evoked potential (VEP) from the human brain is challenging since its signal-to-noise ratio (SNR) is generally very low. …”
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Segmentation of Magnetic Resonance Brain Images Using Watershed Algorithm by Abdurrahim, Salem Hamed

“…The proposed technique based on the watershed algorithm, which is applied to the gradient magnitude of the MRI data. …”
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Use of level specific ce-chirp auditory brainstem response with high rates and objective algorithm in infants population by Chahed, Norashikin, Dzulkarnain, Ahmad Aidil Arafat, Jamaluddin, Saiful Adli

“…Conclusion: High stimulus repetition rate LS CE-Chirp ABR and SNR objective algorithm may has the potential to efficiently determine auditory thresholds in infants, thus can serve as a methods for early diagnosis and intervention, lead to more functional hearing-impaired populations in the community.…”
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A scene invariant convolutional neural network for visual crowd counting using fast-lane and sample selective methods by Teoh, Shen Khang

“…Convolutional neural network (CNN) based crowd counting aims to estimate the number of pedestrians from the image. …”
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Real-Time Flood Inundation Map Generation Using Decision Tree Machine Learning Method: Case Study of Kelantan River Basins by Sidek L.M., Basri H., Marufuzzaman M., Deros A.M., Osman S., Hassan F.A.

“…Additionally, to predict the flood depth, a trained Decision Tree (DT)-based sorting algorithm is used in this method. This DT-based model takes 4 random rainfall data to train and predict the flood depth of the study area…”

Plant identification using combination of fuzzy c-means spatial pyramid matching, gist, multi-texton histogram and multiview dictionary learning by Safa, Soodabeh

“…Beside that, classic bag of visual words algorithm (BoVW) is based on kmeans clustering and every SIFT feature belongs to one cluster and it leads to decreasing classification results. …”
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Downlink capacity improvement of WCDMA system by using adaptive antenna with novel MDPC beamforming technique by Kiong T.S., Koh J., Ismail M., Hassan A.

“…A dynamic radio network simulator was developed in Visual C++� to study the power consumption at WCDMA base station (Node B) and to estimate the downlink capacity improvement by implementing this novel algorithm. …”

Downlink capacity improvement of WCDMA system by using adaptive antenna with novel MDPC beamforming technique by Tiong, Sieh Keong, Koh, Johnny, Ismail, Mahamod, Hassan, Azmi

“…A dynamic radio network simulator was developed in Visual C++® to study the power consumption at WCDMA base station (Node B) and to estimate the downlink capacity improvement by implementing this novel algorithm. …”
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