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3D sounds systems are not new in multimedia world. A normal sound system can generate 3D sounds. When these systems are integrated with Virtual Reality (VR), or Augmented Reality (AR) where the image and sound both are dependent on the position of viewer, they are unable to generate 3D sound, because such systems are based on the body position. The paper proposes a head tracking based 3D sound system...
Macular edema (ME) is trending to be an increasing disease among the working adult group that causes retinal swelling within sub-retinal layers due to accumulation of protein deposits. Optical coherence tomography (OCT) imaging technique gives a complete cross-sectional view of the retina and helps in early detection of ME. In this paper, we explore different techniques for accurate and reliable segmentation...
Cataract is the most common cause of global blindness. Early detection and grading of cataract helps reduce the vision loss. Clinical grading of cataract is subjective and time consuming process but it has a vital role in treatment planning for cataract patients. Automatic detection and grading of cataract greatly improved the health care services for the cataract patients. A number of medical imaging...
High Performance Computing (HPC) is a strategical resource that allows research communities and developers to fulfill the processing demand (1 ExaFlops/Sec) for future Exascale Computing system which is expected in the end of current decade. In order to provide an extensive level of performance, many powerful and energy efficient devices (MIC, GPU) and parallel programming models have been proposed...
This paper addresses the problem of automatic classification of OCT images for identification of patients with DME versus normal subjects. In this paper a relativity simple and practical approach is proposed to exploit the information in OCT images for a robust classification of Diabetic Macular Edema (DME) using coherent tensors. From the retinal OCT scan top and bottom layers are extracted to find...
Glaucoma is a lifetime medical condition which might results in the deprivation of visual sense from an individual permanantly if remained untreated and undiagnosed at early phase. Some structural changes are observed by ophthalmologists using state of art biomedical imaging techniques i.e. Fundscopy and optical coherence tomography in retinal layers and optic nerve head of person effected by glaucoma...
Modern software systems are exposed to various types of uncertainties, such as dynamics in the available resources that are difficult to predict and goals that may change during operation. Self-adaptation equips a software system with a feedback loop that collects additional knowledge at runtime, monitors the system and adapts it when necessary to maintain its quality goals, regardless of uncertainties...
Detection and localization of vertebra body plays a significant role in the diagnosis of many spine disorders such as c-spine trauma and their treatment including cervical surgeries. This requires great effort when one is dealing with poor contrast and noisy set of images like cervical radiographs. This paper aims to describe a technique to localize and detect the centroids of c-spine. The presented...
Macula is the most sensitive component of human retina and it is responsible for sharp colored vision. Any abnormality effecting macula results in blurriness and other eye impairments. Two main abnormalities related to macula are macular edema and ARMD (Age Related Macular Degeneration). This paper focus on automated detection of ARMD using digital fundus images. The proposed technique extracts macular...
Model Predictive Control (MPC) refers to a specific procedure in controller design, explicitly using the plant model to predict the future output, the control law is computed by solving an optimization problem and receding horizon control is used for control implementation. This paper studies the problem of stabilization of a non-minimum phase inertia wheel inverted pendulum (IWP) having one actuator...
This paper presents the design of a fuzzy logic controller for a non-linear tele-robotic system where the slave's environment is unknown. First, the non-linear tele-robotic system is approximated by a class of Takagi-Sugeno (TS) fuzzy models. A fuzzy control law is then adopted to stabilize the tele-robotic system. Further, the selected control law allows deriving the design conditions for determining...
Macular retinal anomaly known as Drusen present in the eyes infected with Age Macular Degeneration (AMD) can be visualized with optical coherence tomography (OCT). This paper presents an algorithm to automatically segment retinal pigment epithelium (RPE) layer of an eye using spectral domain optical coherence tomography (SD-OCT) images for the detection of drusen. Segmentation framework is based on...
Diagnosis of skin cancer needs specialized equipment, doctors and continuous monitoring to treat it well. Patients living in remote areas normally cannot access such facilities. To overcome these barriers of access, Computer Aided Diagnostics, an emerging field in computer science, often called telemedicine, is being considered a promising approach. In this research, preprocessing and hair artifact...
Automatic Identification of disease through image processing in biomedical field is the norm of modern era. Ophthalmologists have used several invasive and noninvasive techniques for early detection of disease. OCT is one such noninvasive modality that performs high resolution tomographic imaging in biological systems. OCT images are produced containing speckle noise. Noise is a major factor that...
Texture analysis has been an important research area due to wide range of applications in the field of image processing, machine vision and pattern recognition. In this paper, we present a comprehensive analysis of texture descriptors for texture classification. We focus on state of the art texture descriptors which have been widely used for classification in literature and shown promising results...
Hypertensive retinopathy is an eye disease which causes to loss of human vision in intensive scenarios. Retinal blood vessels are highly affected by this disease. Ratio between diameters of arterioles and venules is the only measure to detect the abnormalities in vessels. The proposed system identify the symptoms of abnormal vascular structure like arteriolar narrowing. AVR calculation is the main...
The human brain produces electrical signals which prove vital in understanding the degree of abnormality that may, in many cases, result in a person behaving unusually. Epileptic seizures are known to be sudden surges of electrical activity in the brain which cause the affected person to behave abnormally for a short time period. The information contained in these signals is recorded via an EEG machine...
This paper presents the design of a transparent fuzzy bilateral controller for a nonlinear teleoperation system which has been approximated by a class of Takagi-Sugeno (TS) fuzzy models. After the approximation stage, TS fuzzy control laws are introduced for the master and slave robotic systems. These laws further help in developing the design conditions using the state convergence methodology. The...
Earth mover's distance is one of the most effective metric for comparing histograms in various image retrieval applications. The main drawback is its computational complexity which hinders its usage in various comparison tasks. We propose fast earth mover's distance computation by providing better initialization to the transportation simplex algorithm. The new approach enables faster EMD computation...
Extensive research is being done on Wireless sensor Networks (WSNs) in present decade. WSNs consist of large number of sensor nodes which perform sensing of certain phenomena and send the sensed data to the sinks. This operation consumes energy of sensor nodes which effects the lifetime of a network. To prolong the lifetime of WSNs various strategies and routing algorithms have been proposed. Use...
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