Search Results - (( basic image research algorithm ) OR ( java implication based algorithm ))
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Image encryption and decryption using 3D-AES block cipher algorithm / Engku Maryam Syahdina Engku Safruddin
Published 2018“…In order to ensure the image data is secure/ protected and encryption time is low, it is very timely to conduct a research on image encryption and decryption using 3D-AES block cipher algorithm. …”
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Thesis -
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Static image of hand gesture for numerical sign language recognition system using backfrofagation neural network / Erman Ibrahim
Published 2007“…The image processing tools are used to process the image with regards to enhance the image and to extract useful information. …”
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Thesis -
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A comparative analysis of image copy-move forgery detection algorithms based on hand and machine-crafted features
Published 2023“…IC-MFDs based hand-crafted features and IC-MFDs based machine-crafted features. IC-MFD algorithms based hand-crafted features are the algorithms that detect the faked image depending on manual feature extraction while IC-MFD algorithms based machine-crafted features are the algorithms that detect the faked image automatically from image. …”
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Edge detection and contour segmentation for fruit classification in natural environment / Khairul Adilah Ahmad
Published 2018“…This reserarch adapted a methodology of computer vision and algorithms that exploit image segmentation, feature extraction and fuzzy classification to guide the research activities. …”
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Development of a new nonlinear filtering algorithm for impulse noise reduction
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Research Report -
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Enhanced algorithms for three-dimensional object interpreter
Published 2004“…In the first phase, two algorithms were proposed. The first is enhanced thinning algorithm that is used to thin the sketch while maintaining its topology and basic shape. …”
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Thesis -
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Application Of Multi-Layer Perceptron Technique To Detect And Locate The Base Of A Young Corn Plant
Published 2007“…Multi-layer perceptron (MLP) neural network trained using backpropagation algorithm is used to segment the color image. The results of color segmentation show that the algorithm is able to segment the images reliably with less appearance of small blobs. …”
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Segmentation and Grading of Sinus Images
Published 2010“…This report discusses the research done and basic understanding of the proposed topic, which is Segementation and Grading of Sinus Images. …”
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Final Year Project -
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Ultrasonic Tomography System For Liquid/Gas Flow: Frame Rate Comparison Between Visual Basic And Visual C++ Programming
Published 2006“…Real-time simulation of ultrasonic tomography system applied to liquid and gas flow has been implemented by previous researcher using Visual Basic 6.0 software programming. …”
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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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Retrieval based on skin color to detect the malicious images
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Research Report -
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Cars detection in stitched image using morphological approach
Published 2017“…This project presents a method to detect cars in panoramic or stitched images which taken from top view angle. Image stitching is basically a process to align and combine few images to produce a panoramic view of the particular scene. …”
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Final Year Project Report / IMRAD -
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WEBCAM MOTION DETECTION USINGVISUAL BASIC
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Final Year Project -
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Block based motion vector estimation using fuhs16 uhds16 and uhds8 algorithms for video sequence
Published 2011“…Various existing block-matching motion estimation algorithms have been analysed to develop the fundamental research. …”
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Book Chapter -
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Development of computer aided three-dimensional geometric modeler based on designer's idea in twodimensional
Published 2006“…These algorithm are used to produce chain code series that represented a thinned binary image of the sketch. …”
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Monograph -
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