Showing 1–12 of 717 results
A Novel Joint Data-Hiding and Compression Scheme Based on SMVQ and Image Inpainting Abstract?A Novel Joint Data-Hiding and Compression Scheme Based on SMVQ and Image Inpainting. In this paper, we propose a novel joint data-hiding and compression scheme for digital images using side match vector quantization (SMVQ) and image inpainting. The two functions of data…
3-D Adaptive Sparsity Based Image Compression With Applications to Optical Coherence Tomography Abstract? We present a novel general-purpose compression method for tomographic images, termed 3D adaptive sparse representation based compression (3D-ASRC). We focus on applications of 3D-ASRC for the compression of ophthalmic 3D optical coherence tomography (OCT) images. The 3D-ASRC algorithm exploits correlations among adjacent…
3-D Face Recognition Under Occlusion Using Masked Projection Abstract?With advances in sensor technology, the three-dimensional (3-D) face has become an emerging biometric modality, preferred especially in high security applications. However, dealing with occlusions covering the facial surface is a great challenge, which should be handled to enable applicability to fully automatic security systems. In this…
3D Brain Atlas Reconstruction Using Deformable Medical Image Registration: Application to Deep Brain Stimulation Surgery Abstract?In deep brain stimulation surgery the most important step is the correct location of the neurostimulator device. Here, the medical specialist needs to robustly locate the basal ganglia area (i.e. subthalamic nucleus) to implant the neurostimulator. 3D brain atlas reconstruction…
A 2D Discrete Wavelet Transform Based 7- State Hidden Markov Model for Efficient Face Recognition Abstract? A 2D Discrete Wavelet Transform Based 7- State Hidden Markov Model for Efficient Face Recognition. Video View Demo [numbers_sections number=”1″ title=”Including =Packages=” last=”no” ] Complete Source Code Complete Documentation Complete Presentation Slides Flow Diagram Database File Screenshots Execution Procedure…
A Bayesian Bounded Asymmetric Mixture Model With Segmentation Application Abstract? Segmentation of a medical image based on the modeling and estimation of the tissue intensity probability density functions via a Gaussian mixture model has recently received great attention. However, the Gaussian distribution is unbounded and symmetrical around its mean. This study presents a new bounded…
A Block-Mean Difference Based Sorting Scheme on Lossy Partail Distortion Search for Fast Optimal Motion Estimation Abstract? This work presents an efficient lossy partial distortion search (PDS) algorithm named adaptive mean difference based partial distortion search (A-MDPDS). The proposed A-MDPDS algorithm reduces computations by using a halfway-stop technique in the calculation of block distortion measure…
A Bottom-Up Approach for Pancreas Segmentation Using Cascaded Superpixels and (Deep) Image Patch Labeling Abstract? Robust organ segmentation is a prerequisite for computer-aided diagnosis, quantitative imaging analysis, pathology detection, and surgical assistance. For organs with high anatomical variability (e.g., the pancreas), previous segmentation approaches report low accuracies, compared with well-studied organs, such as the liver…
A Class Based Approach for Medical Classification of Chest Pain Abstract? On class based data mining algorithm and their use in medical applications. Data mining techniques have been used in medical research for many years and have been known to be effective. In order to solve such problems as long-waiting time, congestion, and delayed patient…
A Coarse to Fine Minutiae-Based Latent Palmprint Matching Abstract? The availability of live-scan palmprint technology, high resolution palmprint recognition has started to receive significant attention in forensics and law enforcement. In forensic applications, latent palmprints provide critical evidence as it is estimated that about 30 percent of the latents recovered at crime scenes are those…
A Collaborative DDoS Defence Framework using Network Function Virtualization Abstract-High-profile, and often destructive Distributed Denial of Service (DDoS) attacks continue to be one of the top security concerns as the DDoS attacks volumes are increasing constantly. Among them the SYN Flood attack is the most common type. Conventional DDoS defense solutions may not bepreferable since…
A Comparative Study On Classification Of Image Segmentation Methods With A Focus On Graph Based Techniques Abstract?Image segmentation is the most precarious functions in image processing and analysis. Basically segmentation consequences influence all the subsequent processes of image analysis such as object description and illustration, characteristic dimension, and even the subsequent higher level tasks such…
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