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The current study investigates the effect of distracted-driving based on EEG coherence. Forty-two non-professional drivers were recruited to perform a distracted driving task while 128-EEG channels of EEG were simultaneously recorded. EEG coherence computed from 12 EEG electrode pairs based on 10–20 EEG international system, resulting in 66 connections for theta, alpha and beta frequency bands. Results...
Partial updating of filter coefficients is an effective method for reducing computational load and power consumption in adaptive filter implementation. In this paper, we present a class of MMax partial update NLMS algorithms suitable for estimating UWB channels, whose characteristics have shown to vary between highly sparse and dense depending on the channel environment under consideration and the...
A common assumption for Synthetic Aperture Radar (SAR) data, is that the intensity return from textureless areas follows a Gamma law with mean λ > 0 and L > 0 looks. Many image processing techniques need to estimate these parameters using small samples. Unfortunately, the presence of discrepant observations in SAR data occurs frequently, even when dealing with small samples. This is mostly caused...
We present a reduced dimensionality, information rich (RDIR) visual representation for scene information that distills the most distinguishing elements in an image, enabling scene classification by humans and computers under reduced dimensionality conditions. The representation utilizes the Gist model [1] to convey scene information in low bandwidth conditions, exhibiting enhanced classification performance...
The paper proposes a new hybrid error concealment for the multi-view video (MVV). Firstly, the lost macroblocks (MBs) are classified into the static MBs and the motive MBs by the motion information. Then the static MBs are repaired by image inpainting, which is improved to apply to inter and inter-view frame. The motive MBs are fixed by outer boundary matching algorithm (OBMA), in which candidate...
In this paper a principle scheme of new approach to Reliable Unmanned Aerial Vehicles Navigation (UAV) is purposed. It consists in building a reliable reserve control channel and using it together with well-known GPS/INS scheme. The idea of the approach lies in the usage of information from the onboard camera directed at nadir to enhance positioning of UAVs to
This paper presents a new algorithm for colorizing gray scale natural still images. The algorithm uses artificial neural network (ANN) to predict the low frequency discrete cosine transform (DCT) components of the RGB channels. A set of natural color images are used to train three ANNs. The trained networks estimates the RGB layers of the gray scale image that best match a set of training colored...
We report on a university-based pilot initiative to introduce students in grades 9–12 to electrical engineering practices. The after-school program consisted of two modules of four two-hour sessions and targeted students from two different local schools. They were exposed to hands-on electronic activities as well as programming practices related to image processing. The data collected from weekly...
This paper presents an algorithm for processing Connect-the-Dots puzzles. In particular, the use of Optical Character Recognition (OCR) and other image processing algorithms to process pre-existing Connect-the-Dots puzzles is explored. An algorithm was developed which utilizes Matlab and C# to locate and identify the numbers in the puzzles. To test the accuracy of the algorithm an experiment was conducted...
The image mosaicing is one of the most widely used techniques for semi-automated or automated recovery of original documents from ripped up documents. Reconstruction of hand torn or ripped-up paper documents is a challenging job in forensic, investigation science, historical artifact reconstruction. Creation of document mosaic images from some torn piece views is a powerful means of getting a larger...
This paper tries to address the problem of removing unwanted reflection layer from the image mixtures. These reflections may occur due to semi-reflective glass mediums. This demands separating the input image into the reflecting layer and the subject layer, also known as, background layer which is the actual scene itself. But decomposing a single input image into these two layers is a massively ill-posed...
In previous researches, the reconstructed residual data in the current frame or in the reference frame are used to predict the residual of the current block. These researches demonstrate that the redundancy still exists in the residual. We propose a new residual prediction scheme for inter coding to further remove the redundancy in the residual encoded by the original framework so that the coding...
Evaluating OCR software is an important task to test the accuracy and to compare the strengths and weaknesses of distinct OCR systems. Research in the past has been done to compare the performance of OCR systems, all metrics used before dependent only on the character accuracy. This paper introduces word-based accuracy as well as character accuracy metrics to evaluate and to compare the performance...
The interpretation of hyperspectral imagery is an essential task for classification, changes detection and monitoring of natural phenomena. One challenge of the processing hyperspectral images, with better spectral and temporal resolution is the huge amount of data volume and the interpretation in high dimensionality data. Various techniques have been developed in the literature for dimensionality...
To be robust, decision-making process must take account the imperfection associated with models. The identification, understanding and propagation of imperfection sources are important. In general, the imperfection in land cover change (LCC) prediction process can be categorized as both aleatory and epistemic. This imperfection, which can be subdivided into parameter and structural model imperfection,...
The path planning is one of the most important areas in robotics. Particularly in static environments, there are different algorithms that provide important solutions to this problem. Most of these algorithms are based on traditional geometric techniques such as: modeling of the free space, Voronoi diagrams and potential fields. This paper proposes an alternative to the strategy of decomposition in...
In the molten rock deformation experiments images often shaped by exposure of different photos stitched together, for the molten maldistribution problem of the mosaic effect, this paper presents a method based on quadratic threshold determination to balance, It can be seen, compared with the nonlinear dynamic range adjustment method, this method can better solve the problem of mosaic effect.
In this paper, we process the image of Chinese characters, and assess the regular of Chinese characters in the image. Images of Chinese handwritten characters is processed to remove the irrelevant information such as background color, background noise. After processing and Hough transforming the image, we can get the information of strokes and angle through the outline of the image. After Hough transforming,...
Indian stone inscriptions play an important role in the reconstruction of the history of India. Kannada is considered the oldest language next to Sanskrit, Prakrit, and Tamil. According to linguists Tamil and Kannada branched off simultaneously from the Dravidian language of South India before the Christian Era. Indian epigraphy becomes more widespread over the 1st millennium, engraved on the faces...
This paper presents the fuzzy (S, N)- QL- and D-subimplication classes, which are obtained by OWA operators performed over the families of triangular subnorms and sub-conorms along with fuzzy negations. Since these classes of subim-plications are explicitly represented by such connectives, the corresponding (S, N)- QL- and D-subimplicatios are characterized by the generalized associativity and distributive...
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