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Development Of Double Stage Filter (DSF) On Stereo Matching Algorithm For 3D Computer Vision Applications
Published 2016“…Based on the results of evaluations, the results obtained by DSF is better than the algorithms, basic block matching and dynamic programming.…”
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Thesis -
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Enhanced Image View Synthesis Using Multistage Hybrid Median Filter For Stereo Images
Published 2018“…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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Thesis -
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Block matching algorithms for motion estimation using modified Cross-Diamond-Hexagonal search / Abd Razak Mahmud
Published 2008“…This algorithm basically employs two crossshaped search patterns consecutively in the very beginning steps and switch using diamond-shaped patterns. …”
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Thesis -
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A real-time vision-based touchless interaction of virtual heart using integration of motion gesture interaction methods
Published 2014“…The flow of the algorithm can be divided into four steps. The first step is to calculate the offset line. …”
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Academic Exercise -
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Nomadic people optimizer (NPO) for large-scale optimization problems
Published 2019“…The basic component of the algorithm consists of several clans and each clan searches for the best place (or best solution) based on the position of their leader. …”
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Thesis -
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Interval-valued fuzzy soft topology and its applications in group decision-making problems
Published 2022“…In the first step, we present the interval-valued fuzzy soft topology concept as the basic framework of this work and we study some topological properties. …”
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Thesis -
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Block based motion vector estimation using fuhs16 uhds16 and uhds8 algorithms for video sequence
Published 2011“…Full search (FS), three step search (TSS), new three step search (NTSS), diamond search (DS) and hexagon based search (HS) are the most well known block-matching algorithm. …”
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Book Chapter -
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Development of axis movement controller for 2-axis configuration machine control
Published 2007“…The aim of the project is to control the movement of conveyor for every 1cm per step, forward and reverse. The axis control algorithm is program in the PIC16F877 microcontroller using software PIC proBasic. …”
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Undergraduates Project Papers -
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Optimization of Motion Compensated Block-Based DCT Video Compression for Software Implementation
Published 2000“…The proposed new algorithm was evaluated and the results indicate that it was practical in low bit rate environments targeted by H.263 as no negative speed gain was observed for the full range of step size during the evaluation. …”
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Stereo matching algorithm using census transform and segment tree for depth estimation
Published 2023“…Basically, the proposed framework in this article is developed through a series of functions. …”
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Article -
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Development an accurate and stable range-free localization scheme for anisotropic wireless sensor networks
Published 2022“…The developed localization framework is separately validated and evaluated each optimized step under various evaluation criteria, in terms of accuracy, stability, and cost, etc. …”
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Thesis -
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Simulation on Emotion Recognition for Autism Therapy
Published 2017“…Deriving an effective facial representation from authentic face snap shots is an essential step for a success facial features reputation. On this paper, we empirically evaluate facial representation based totally on statistical local functions, neighborhood Binary styles, for person-independent facial expression recognition. …”
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Final Year Project -
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Modeling and control of a Pico-satellite attitude using Fuzzy Logic Controller
Published 2010“…It is observed that the APFLC showed convincing performance over the entire simulation of the Pico-satellite. Genetic Algorithm (GA) is a computational model inspired by evaluation. …”
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Automatic extraction of digital terrain model and Building Footprint from airborne LiDAR data using rule-based learning techniques
Published 2021“…To achieve the first goal, the last reflection is separated from the LiDAR point cloud and the effective distance was calculated. In the next step, noise and roof errors were removed using KNN filter and a new network was created and re-evaluated based on the shortest distance in the LiDAR point cloud to create an integrated DTM. …”
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Thesis -
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Satellite Image Segmentation Using Thresholding Technique
Published 2017“…It is a key step for image analysis, comprehension and description. …”
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Thesis -
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Discriminative feature representation for Malay children’s speech recognition / Seyedmostafa Mirhassani
Published 2015“…Three speech databases were used for the experiments including prolonged Malay vowels and Malay continuous speech database based on children’s speech and TIMIT database based on adult speeches. …”
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Thesis -
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Al-Hams and Al-Jahr Sifaat evaluation using classification approach
Published 2021“…To fulfill this task, the first step that is commonly conducted yet takes so much learning time, is to master the pronunciation of the basic unit of the verses which are the letters. …”
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Proceeding Paper