Search Results - (( development process perception algorithm ) OR ( java application reoptimize algorithm ))

Development Of Double Stage Filter (DSF) On Stereo Matching Algorithm For 3D Computer Vision Applications by Teo, Chee Huat

“…In order to remove the unwanted aspects, two stages filtering process are needed along with the developed approaches in the phase 2 of DSF algorithm. …”
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Towards a unified image quality assessment technique for cross-content image processing applications by Baqar, Mohtashim *

“…To make efficient multimedia processing systems, understanding human perception is crucial. …”
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Feature identification in a real surface metrology analysis by means of Double Iteration Sobel (DIS) / Ainaa Farhanah Mohd Razali by Mohd Razali, Ainaa Farhanah

“…Hence, the development of DIS algorithm has successfully help in producing the edges features on a particular surface topography that are accurate and in line with what has been agreed based on human perception.…”
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The Development of Color Based Visual Search Utility by Mohamed, Al Mabruk S.

“…Secondly, the color algorithm was developed to interpret natural expressions of content such as 10%, 20%, etc. …”
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Tracking The Eyes Using Interdependence Mean Shift Tracking Algorithm With Appropriate Information Provided by Masrullizam, Mat Ibrahim, Syafeeza, Ahmad Radzi, Soraghan, John

“…Eyes represent rich of information that able to indicate the reaction, perception, or physiological status of individual. Most of the developed eyes tracking algorithm are not considered the condition of the eyes that would provide the appropriate information to be used in the processes of the facial analysis algorithm. …”
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Enhanced Image View Synthesis Using Multistage Hybrid Median Filter For Stereo Images by Ali Hussein Aboali, Maged Yahya

“…Disparity depth map estimation of stereo matching algorithm is one of the most active research topics in computer vision.In the field of image processing,many existing stereo matching algorithms to obtain disparity depth map are developed and designed with low accuracy.To improve the accuracy of disparity depth map is quite challenging and difficult especially with uncontrolled dynamic environment.The accuracy is affected by many unwanted aspects including random noises,horizontal streaks,low texture,depth map non-edge preserving, occlusion,and depth discontinuities.Thus,this research proposed a new robust method of hybrid stereo matching algorithm with significant accuracy of computation.The thesis will present in detail the development,design, and analysis of performance on Multistage Hybrid Median Filter (MHMF).There are two main parts involved in our developed method which combined in two main stages.Stage 1 consists of the Sum of Absolute Differences (SAD) from Basic Block Matching (BBM) algorithm and the part of Scanline Optimization (SO) from Dynamic Programming (DP) algorithm.While,Stage 2 is the main core of our MHMF as a post-processing step which included segmentation,merging, and hybrid median filtering.The significant feature of the post-processing step is on its ability to handle efficiently the unwanted aspects obtained from the raw disparity depth map on the step of optimization.In order to remove and overcome the challenges unwanted aspects, the proposed MHMF has three stages of filtering process along with the developed approaches in Stage 2 of MHMF algorithm.There are two categories of evaluation performed on the obtained disparity depth map: subjective evaluation and objective evaluation.The objective evaluation involves the evaluation on Middlebury Stereo Vision system and evaluation using traditional methods such as Mean Square Errors (MSE),Peak to Signal Noise Ratio (PSNR) and Structural Similarity Index Metric (SSIM).Based on the results of the standard benchmarking datasets from Middlebury,the proposed algorithm is able to reduce errors of non-occluded and all errors respectively.While,the subjective evaluation is done for datasets captured from MV BLUE FOX camera using human's eyes perception.Based on the results,the proposed MHMF is able to obtain accurate results, specifically 69% and 71% of non-occluded and all errors for disparity depth map, and it outperformed some of the existing methods in the literature such as BBM and DP algorithms.…”
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Waste management using machine learning and deep learning algorithms by Sami, Khan Nasik, Amin, Zian Md Afique, Hassan, Raini

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VISUALIZATION OF GENETIC ALGORITHM BASED ON 2-D GRAPH TO ACCELERATE THE SEARCHING WITH HUMAN INTERVENTIONS. by FAROOQ, HUMERA

“…Visualization techniques help in understanding the searching behaviour of Genetic Algorithm. lt also makes possible the user interactions during the searching process. …”
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A rule-based image segmentation method and neural network model for classifying fruit in natural environment / Hamirul'aini Hambali by Hambali, Hamirul'aini

“…This method adds separation and inverse processes to the algorithm in order to produce the best segmented images. …”
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Grover's Algorithm Extensions - A Systematic Literature Review by Amirul Asyraf Zhahir, Siti Munirah Mohd, Mohd Ilias M Shuhud, Nurhidaya Mohamad Jan, Bahari Idrus, Muhammad Mus-'Ab Anas Mohd Anas

Particle-based perception of garment folding for robotic manipulation purposes by Hou Y.C., Mohamed Sahari K.S., Weng L.Y., How D.N.T., Seki H.

Intelligent road recognition system for automous vehicle by Soon, Adrian Bee Toing

“…The image features are extracted using simple image processing algorithms and are trained using artificial neural network (ANN). …”
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Forecasting of photovoltaic output using hybrid particle swarm optimization-artificial neural network model / Muhamad Faizol Adli Abdullah by Abdullah, Muhamad Faizol Adli

“…Backpropagation (BP) algorithm is widely used to solve many real world problems by using the concept of Multilayer Perception (MLP). …”
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Development of gender and race recognition system using speech and recognition by using frequency spectrum by Ng Siew Fong

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Single image integrated deblurring algorithm in non-uniform environment by Rechard Lee, Celine Wong

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Efficient selective encryption schemes to secure video data and moving objects information for HEVC/H.265 using advanced encryption standard / Mohammed Ahmed Mohammed Saleh by Mohammed Saleh, Mohammed Ahmed

“…All of those encryption algorithms are classified as asymmetric and symmetric algorithms. …”
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Grammar-based prosody modification for explicit control Malay language storytelling speech synthesis / Muhammad Izzad Ramli by Ramli, Muhammad Izzad

“…Consequently, new rules and algorithm that is MustFront rule, limitation rule, and two-steps pitch contour algorithm are introduced to increase the synthesized speech quality. …”
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Development of ground truth data for automatic lumbar spine MRI image segmentation by Natalia, Friska, Meidia, Hira, Afriliana, Nunik, Al-Kafri, Ala S., Sudirman, Sud, Simpson, Andrew, Sophian, Ali, Al-Jumaily, Mohammed, Al-Rashdan, Wasfi, Bashtawi, Mohammad

“…The quality of the resulting system depends largely on the availability of good data for the machine learning algorithm to train on. Training data of a supervised learning process needs to include ground truth, i.e., data that have been correctly annotated by experts. …”
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A kinematic concept for robotic assisted dental rehabilitation / Muhammad Azmi Ayub... [et al.] by Ayub, Muhammad Azmi, Azni, Mohd Shafiq, Al-Jaf, Nagham, Norman, Noraina Hafizan

“…The key elements in the concept consist of cone-beam computed tomography machine (CBCT), image processing algorithm and a robot manipulator system, which will function as an integrated unit to aid and guide the dentist in the diagnosis and treatment procedures. …”
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Identifying and predicting Muslim’s community funeral funding protocols by Ibrahim, Izzul Ismail, M Ashhuri, Muhammad Hassan, Hassan, Raini

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