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Functional connectivity is becoming popular as a second opinion for neurosurgeons and specialists in order to decide on the need for surgical resection, or prescribing medication and appraise prognosis. Neuroimaging modalities such as fMRI, fNIRS, PET, and EEG provide functional connectivity estimation. MEG is the most recent trend in functional connectivity assessment research as it gives more accurate...
Gazing at computer screen for long hours may cause eye strain. The strain goes away after the eyes have been relaxed and kept away from the screen for some time; however, prolonged exposure may cause dryness and irritability. The eye-strain is monitored by a laser speckle flowgraphy (LSFG) system in this study. The LSFG system measures and displays choroidal vascular maps providing relative blood...
Water drinking test is used as stress test for glaucoma, as it produces changes in intra-ocular pressure. Laser speckle flowgraphy (LSFG) system is used to assess blood flow changes in four regions of the optic nerve head in this study. The LSFG system is a relatively new and simple blood flow measuring technique that displays optic nerve head vascular maps providing relative blood flow readings....
Counting precisely the number of people in a crowd is one of the most attractive issues for video analytics application. In this paper, an integrated method using Histogram of Oriented Gradient (HOG) and Completed Local Binary Pattern (CLBP) is proposed to detect a head-shoulder region of people within image or video sequence. Head-shoulder region is used as features to detect people against the false...
Shape from focus (SFF) uses focus measure operator for depth measurement from a sequence of images. From the analysis of defocused image, it is observed that the focus measure operator should respond to high frequency variations of image intensity and produce maximum values when the image is perfectly focused. Therefore, an effective focus measure operator must be a high-pass filter. Laplacian is...
Vegetation encroachment and its monitoring near high voltage power line is a challenging problem for electricity distribution companies. Electric supply companies monitor the vegetation/trees near power lines to avoid the blackouts that may occur in case of an improper monitoring of vegetation. The uninterrupted electric power supply is vital for industries, businesses, and daily life. Many approaches...
Magnetoencephalography (MEG) is used for functional connectivity analysis, and can record brain signals from deep sources non-invasively. Modern MEG systems measure signals at a temporal resolution of milliseconds and at millimeter precision. However, there is a lack of standardization in the position and orientation of sensors, unlike the electroencephalography (EEG) that follows sensor positioning...
Large scale systems are focused at providing rapid and secure connections between system entities and users. The basic purpose of development of such systems is increasing integrity between members, staff and other departments. As different system users access the system on different levels of access according to their defined roles in organizations and institutes, a mechanism for controlling and...
MEG is an emerging clinical tool to gather insight on neuronal dysfunction inside the human brain. This paper analyzes data saved as FIF file format at a small-world level. Traditionally, operating cost is very high for artifact removal. Also, the absence of a standardization with availability of more than a dozen MEG recording device vendors makes it difficult to store and process data followed by...
This work presents a multimodal biometrics system that combines face and fingerprint authentication modules. The proposed face verification module incorporates Gabor Wavelet texture features and face edge features. As for the fingerprint module, a simple algorithm is employed for extracting fingers' Minutia in order to build feature vector for each sample fingerprint. The proposed system can be used...
In this paper, we propose an adaptive background modeling algorithm for crowd surveillance system. We employed Approximate Median Method (AMM) along with the Phase congruency edge detector to develop the background model. The resulting foreground of the proposed model was obtained by applying a logical AND operation between binary maps of the (foreground) of the AMM image and the gradient information...
Epilepsy is a neurological illness which may be controlled by medication but not fully cured. In the case of pharmacoresistant epilepsy, seizures may prove fatal and surgery becomes an option. Compared with EEG (electro-encephalography), MEG (magenetoencephalography) offers greater accuracy in epilepsy localization owing to higher spatial resolution. However, streaming data from MEG system for surgical...
An attempt to tackle the inherent instability of the two wheel platform has been made. Control of this unbalanced system is achieved by implementing an adaptive rendition of the classic PD control. The implementation procedure and the relevant theory behind the autonomous balancing and movement of the robot is also demonstrated. The stability and responses of this two wheel self-balancing system is...
Content-based image analyses and retrieval systems, most of the time, deal with histogram refinement techniques. The coarse characterization of histograms is researched and a very brief list of features is proposed in this paper, which is recommended for RGB images carrying some structure or colored information with similar appearance. The R, G, and B contents are split and their color and edge features...
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