Delamination is a common damage in fibre reinforced composite laminates, usually hidden from external view, that can substantially reduce the structural stiffness which changes dynamic response of structures such as natural frequencies. Natural frequencies are most reliable parameters for detecting while they do not directly provide information regarding its location and severity. To determine severity damage, it necessary to solve inverse problem using frequency shifts multiple modes. In...

Nowadays, robots are dominating the manufacturing, entertainment and healthcare industries. Robot vision aims to equip with ability discover information, understand it interact environment. These capabilities require an agent effectively object affordances functionalities in complex visual domains. In this literature survey, we first focus on Visual summarize state of art as well open problems research gaps. Specifically, discuss sub-problems such affordance detection, categorization,...

Long-distance surveillance is a challenging task because of atmospheric turbulence that causes time-varying image shifts and blurs in images. These distortions become more significant as the imaging distance increases. This paper presents new method for compensating shifting video sequence while keeping real moving objects unharmed. In this approach, firstly, highly accurate fast optical flow technique applied to estimate motion vector maps input frames centroid algorithm employed generate...

Image data experiences geometric distortions and spatial-temporal varying blur due to the strong effects of random spatial temporal variations in optical refractive index communication path. Simultaneously removing these from an image is a challenging task. An efficient approach proposed this paper address problem. The consists four steps. First, frame selection strategy employed by proposing unsupervised k-means clustering technique. Second, B-spline-based nonrigid registration carried out...

In underwater imaging, water waves cause severe geometric distortions and blurring of the acquired short-exposure images. Corrections for these have been tackled reasonably well by previous efforts but still need improvement in estimation pixel shift maps to increase restoration accuracy. This paper presents a new algorithm that efficiently estimates from geometrically distorted video sequences uses those restore sequences. A nonrigid image registration method is employed estimate frames...

The development of in-vivo imaging techniques has significantly advanced biomedical science and cancer diagnosis, yet their limited spatial resolution constrains utility in small-animal studies early-stage tumour detection. This study introduces a novel SPECT system employing X-rays gamma-rays focusing optics-traditionally used astronomy-to enhance small object at sub-millimetre scales without compromising sensitivity. Current rely on absorptive collimation, which creates trade-off between...

Hemidecussation of fibers entering the optic chiasm from nerves is well recognized. The reason why bitemporal hemianopia results chiasmal compression has not been fully explained. There still a paucity data relating to precise details routes that nerve take through and, in particular, where and how cross each other. This information important understanding crossing are selectively damaged as result compression.An obtained at postmortem was fixed, stained, sectioned allow high-resolution...

The precise mechanism of bitemporal hemianopia is still not clear. Our study investigated the by studying biomechanics chiasmal compression caused a pituitary tumor growing below optic chiasm.Chiasmal and nerve fiber interaction in chiasm were simulated numerically using finite element modeling software. Detailed mechanical strain distributions obtained to help understand behavior chiasm. Nerve models built determine relative difference experienced crossed uncrossed fibers.The central aspect...

Multispectral polarimetric light field imagery (MSPLFI) contains significant information about a transparent object’s distribution over spectra, the inherent properties of its surface and directional movement, as well intensity, which all together can distinguish specular reflection. Due to multispectral signatures being limited an properties, pixel detection object is difficult task because lacks own texture. In this work, we propose two-fold approach for determining reflection (SRD)...

Electroencephalography (EEG) has enjoyed considerable attention over the past century and been applied for diagnosis of epilepsy, stroke, traumatic brain injury other disorders where 3D localization electrical activity in is potentially great diagnostic value. In this study we evaluate precision accuracy spatial delivered by a popular reconstruction technique sLORETA to EEG data collected two commonly used low-density headsets with 14 19 measurement channels, respectively. Numerical...

A high accuracy image dewarping method is proposed to restore images from non-uniformly warped video sequences degraded by atmospheric turbulence. This approach contains three major steps. First, a non-rigid registration technique employed register all the frames in sequence reference frame and estimate motion fields. Second, an iterative First Register Then Average And Subtract (iFRTAAS) applied correct geometric deformations of frames. The third step involves applying non-local means...

Compared with other medical-imaging modalities, ultrasound (US) imaging is a valuable way to examine the body's internal organs, and two-dimensional (2D) currently most common technique used in clinical diagnoses. Conventional 2D US systems are highly flexible cost-effective tools that permit operators observe record images of large variety thin anatomical sections real time. Recently, 3D has also been gaining popularity due its considerable advantages over imaging. It reduces dependency on...

This study reports the application of free flight testing in a hypersonic wind tunnel for aerodynamic characterization vehicle. Sub-scale models ESA’s HEXAFLY-INT EFTV geometry were released into flow and motion was measured through combination high-speed video analysis on-board gyroscopes accelerometers. These measurements allow coefficients to be determined give insight stability design. Models fabricated using both 3D printing CNC milling techniques. A light-weight instrumentation system...

When imaging through the atmosphere, resulting image contains not only desired scene, but also adverse effects of all turbulent air mass between camera and scene. These are viewed as a combination nonuniform blurring random shifting each point in received short-exposure image. Corrections for both aspects this combined distortion have been tackled reasonably successfully by previous efforts. We presented an earlier paper more robust method restoring geometry redefining place prototype frame...

In this paper, a fast image restoration method is proposed to restore the true from an atmospheric turbulence degraded video. A non-rigid registration algorithm employed register all frames of video reference frame and determine shift maps. The First Register Then Average And Subtract-variant (FRTAASv) applied correct geometric distortion frame. performance comparison presented between earlier Minimum Sum Squared Differences (MSSD) based FRTAASv method, in terms processing time accuracy....

Multispectral Polarimetric Imagery (MSPI) contains significant information about an object’s distribution, shape, shading, texture and roughness features which can distinguish between foreground background in a complex scene. Due to spectral signatures being limited material properties, Background Segmentation (BS) is difficult task when there are shadows, illumination clutter In this work, we propose two-fold BS approach: multiband image fusion polarimetric BS. Firstly, considering that the...

When imaging through the atmosphere, resulting image contains not only desired scene, but also adverse effects of all turbulent air mass between camera and scene. These are viewed as a combination non-uniform blurring random shifting each point in received short-exposure image. Corrections for both aspects this combined distortion have been tackled reasonably successfully by previous efforts. A potentially more robust method restoring geometry is presented, which better suited to real-time...

In our previous work we have demonstrated that the perceived wander of image intensities as seen through "windows" each pixel due to atmospheric turbulence can be modelled a simple oscillator pixel-by-pixel and linear Kalman filter (KF) finetuned predict certain extent short term future deformations. this paper, are expanding into Hybrid Extended (HEKF) fine tune itself by relaxing parameters at individual pixel. Results show HEKF performs significantly better than KF.

Ultrasound (US) imaging is widely used in clinical diagnostics as it an economical, portable, painless, comparatively safe, and non-invasive real-time tool. However, the image quality of US severely affected by presence speckle noise during acquisition process. It essential to achieve speckle-free high resolution for better diagnosis. In this paper, we propose a blur reduction algorithm based on artificial neural networks (ANNs). Here, modelled multiplicative following Rayleigh distribution,...

A new algorithm for the turbulence degraded frames of an underwater object or scene to produce images with superior quality and higher resolution is presented. This approach based on computing centroid image sequence through iterative scheme. robust fast optical flow technique employed pixel registration all against a reference frame shift maps are determined. Using these maps, each distorted restored dewarping technique. performance comparison between proposed restoration state‐of‐the‐art...

This paper presents the application of artificial neural network for predicting warping images remote objects or scenes ahead time. The algorithm is based on estimating pattern previously captured short-exposure frames through a generalized regression (GRNN) and then upcoming frame. A high-accuracy optical flow technique employed to estimate dense motion fields frames, which are considered as training data GRNN. proposed approach independent pixel-oscillatory model unlike state-of-the-art...