Search Results - (( using function based algorithm ) OR ( framework segmentation using algorithm ))

Framework for stream clustering of trajectories based on temporal micro clustering technique by Abdulrazzaq, Musaab Riyadh

“…In the preprocessing stage, the On-Line Noise Filtering Algorithm for Trajectory Segmentation Based on Minimum Description Length concept (ONF_TRS) is proposed to achieve trajectory segmentation and remove noise points in real time with low computational cost. …”
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Stereo matching algorithm using census transform and segment tree for depth estimation by Hamzah, Rostam Affendi, Zainal Azali, Muhammad Nazmi, Mohd Noh, Zarina, Tengku Wook, Tg Mohd Faisal, Zainal Abidin, Izwan

“…The proposed algorithm in this article has four steps in total, which starts with the matching cost computation using census transform, cost aggregation utilizes segment-tree, optimization using winner-takes-all (WTA) strategy, and post-processing stage uses weighted median filter. …”
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Deep Reinforcement Learning Based Unmanned Aerial Vehicle (UAV) Control Using 3D Hand Gestures by Khan, F.S., Mohd, M.N.H., Zulkifli, S.A.B.M., Abro, G.E.M., Kazi, S., Soomro, D.M.

“…In this paper, we designed a hybrid framework, which is based on Reinforcement Learning and Deep Learning where the traditional electronic flight controller is replaced by using 3D hand gestures. …”
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A study on component-based technology for development of complex bioinformatics software by Ali Shah, Zuraini, Deris, Safaai, Othman, Muhamad Razib, Zakaria, Zalmiyah, Saad, Puteh, Hassan, Rohayanti, Muda, Mohd. Hilmi, Kasim, Shahreen, Roslan, Rosfuzah

“…The second layer uses discriminative SVM algorithm with a state-of-the-art string kernel based on PSI-BLAST profiles that is used to leverage the unlabeled data. …”
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Correlation of Retinal Blood Vessel Tortuosity and Chronic Kidney Disease by Amirul Asyraf bin Mustapha Kamel

Computed tomography and echocardiography image fusion technique for cardiac images by Kalahroodi, Samaneh Mazaheri

“…It will present an accurate and robust segmentation technique, which its results are going to use as input for fusion system in the following. …”
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A new optimisation framework based on Monte Carlo embedded hybrid variant mean–variance mapping considering uncertainties by Norhafidzah, Mohd Saad, Muhamad Zahim, Sujod, Mohd Ikhwan, Muhammad Ridzuan, Mohammad Fadhil, Abas, Mohd Shawal, Jadin, Mohd Fadzil, Abdul Kadir

“…The Monte Carlo Probability Density Function method was initially used to manage uncertainties. …”
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Blood cell image segmentation using unsupervised clustering techniques by Tuan Muda, Tuan Zalizam, Abdul Salam, Rosalina

“…In this paper, we present a framework of comparison cell images segmentation by using unsupervised clustering techniques with the purpose of acquiring the best method to segment the cell images. …”
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On-orbit spatial image characterisation and restoration based on stochastic characteristic targets / Wong Soo Mee by Wong , Soo Mee

“…Therefore, in the second framework, this thesis exploits the image properties and shows that only one image property used in a regularization-based framework is insufficient to obtain satisfying restoration results. …”
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A framework for white blood cell segmentation in microscopic blood images using digital image processing by Sadeghian, Farnoosh, Seman, Zainina, Ramli, Abdul Rahman, Abdul Kahar, Badrul Hisham, Saripan, M. Iqbal

“…The segmentation is conducted using a proposed segmentation framework that consists of an integration of several digital image processing algorithms. …”
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Linear regression convolutional neural network for fully automated coronary lumen segmentation in intravascular optical coherence tomography / Yong Yan Yin by Yong, Yan Ling

“…This automated segmentation algorithm has been benchmarked against manual segmentation by human experts. …”
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Human face detection using skin color segmentation and watershed algorithm by Fatma Susilawati, Mohamad, Abdulganiyu, Abdu Yusuf, Zahraddeen, Sufyanu

“…Moreover, a new framework for efficient face detection using skin color segmentation is proposed. …”
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An Optimized Semantic Segmentation Framework for Human Skin Detection by Huong, Audrey, Ngu, Xavier

“…The study incorporating optimization strategy in semantic segmentation is underexplored in dermatology. Existing approaches used complex and various heuristic designs of image processing algorithms and deep models customized for skin detection problems. …”
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Non-invasive gliomas grading using swarm intelligence algorithm / Muhammad Harith Ramli by Ramli, Muhammad Harith

“…Bat algorithm is chosen for the development of the prototype for segmentation and classification purpose. …”
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Impacting clinical evaluation of anterior talofibular ligament injuries through analysis of ultrasound images by Singh, V., Elamvazuthi, I., Jeoti, V., George, J., Swain, A., Kumar, D.

“…Methods: The developed framework comprises of five computational steps to segment the ATFL ligament region. …”
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Impacting clinical evaluation of anterior talofibular ligament injuries through analysis of ultrasound images by Singh, V., Elamvazuthi, I., Jeoti, V., George, J., Swain, A., Kumar, D.

“…Methods: The developed framework comprises of five computational steps to segment the ATFL ligament region. …”
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A feature-based approach for segmenting faces by Zaqout, I., Zainuddin, R., Baba, S.

“…The algorithm detects feature points from the image and groups them into face candidates using geometric and grey level constraints. …”
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Enhanced Deep Learning Framework for Fine-Grained Segmentation of Fashion and Apparel by Usmani, U.A., Happonen, A., Watada, J.

“…We propose a clothing segmentation framework having novel feature extraction and fusion modules. …”
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2TSS: Two-tier semantic segmentation framework with enhancement for hotspot detection of solar photovoltaic thermal images by Nurul Huda, Ishak, Iza Sazanita, Isa, Muhammad Khusairi, Osman, Mohd Shawal, Jadin, Kamarulazhar, Daud, Mohd Zulhamdy, Ab Hamid

“…The proposed method is designed with two subsequent stages of segmentation models, including image pre-processing at the initial of the framework. …”
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Automatic liver tumor segmentation on computed tomography for patient treatment planning and monitoring by Moghbel, Mehrdad, Mashohor, Syamsiah, Mahmud, Rozi, Saripan, M. Iqbal

“…The proposed segmentation evaluated on real-world clinical data from patients is based on a hybrid method integrating cuckoo optimization and fuzzy c-means algorithm with random walkers algorithm. …”
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