Change detection with background subtraction process remains to be an unresolved issue and attracts research interest due challenges encountered on static dynamic scenes. The key challenge is about how update dynamically changing backgrounds from frames adaptive self-regulated feedback mechanism. In order achieve this, we present effective change algorithm for pixelwise changes. A sliding window approach combined control of parameters introduced updating frames, which called window-based...

Subband decomposition techniques have been extensively used for data coding and analysis. In most filter banks, the goal is to obtain subsampled signals corresponding different spectral regions of original data. However, this approach leads various artifacts in images having spatially varying characteristics, such as containing text, subtitles, or sharp edges. paper, adaptive banks with perfect reconstruction property are presented images. The filters structure which can be either linear...

Lifting-style implementations of wavelets are widely used in image coders. A two-dimensional (2-D) edge adaptive lifting structure, which is similar to Daubechies 5/3 wavelet, presented. The 2-D prediction filter predicts the value next polyphase component according an orientation estimator image. Consequently, domain allowed rotate +/-45 degrees regions with diagonal gradient. gradient computationally inexpensive additional costs only six subtractions per instruction, and no multiplications...

The fast Fourier transform (FFT) algorithm has been used in a variety of applications signal and image processing. In this article, simple procedure for designing finite-extent impulse response (FIR) discrete-time filters using the FFT is described. zero-phase (or linear phase) FIR filter design problem formulated to alternately satisfy frequency domain constraints on magnitude bounds time support. scheme iterative which each iteration requires two computations. resultant an equiripple...

Avoidance of power lines is an important issue flight safety. Assistance systems that automatically detect can prevent accidents caused by pilot unawareness. In this study, we propose using convolutional neural networks (CNN) to recognize the presence in aerial images. Deep CNN architectures such as VGG and ResNet are originally designed objects ImageNet dataset. We show they also successful at extracting features indicate lines, which appear simple, yet subtle structures. Another...

In this paper, we present a novel power-quality (PQ) event detection and classification method using higher order cumulants as the feature parameter, quadratic classifiers method. We have observed that local statistical parameters are estimated from short segments of 50-Hz notch-filtered voltage waveform data carry discriminative features for PQ events analyzed herein. A vector with six consisting minimas maximas central starting second (variance) up to fourth cumulant is used vector. Local...

In this work, we present a novel two-dimensional (2-D) representation of power system waveforms for the automatic analysis and detection transient events. The is composed matrix whose rows are formed by time segments digital waveforms. By appropriate selection segment length, 2-D data exhibits wave-like image shapes. general shape immediately disturbed whenever quality event occurs. We propose use two dimensional discrete wavelet transforms (2-D-DWT) to detect these disturbances. It has been...

This paper presents an image processing based automated counting system to detect the number of bacteria colonies that develop in Petri dishes microbiology laboratories. The visible represent initial present aqueous environment. contains shape segmentation and classification algorithms. Colonies are considered as (possibly overlapping with some amount amorphous deviations from) discs classified a cluster respect their compactness ratio. is implemented using Matlab, tested ground truth data...

This paper introduces a novel two-dimensional (2-D) representation of the power quality event data. 2-D discrete-time wavelet transform is applied to real-life The proposed and tested in terms both analysis data compression. experimental results indicate that outperforms obtained by conventional one-dimensional (1-D) transform-based methods.

In this study, a novel two‐step hourly solar radiation modelling procedure is developed. the first step, data of single day considered and its periodic Fourier series coefficients are calculated. The nine to accurately render data. Among these coefficients, yearly variations two exhibit relatively large magnitudes therefore mathematically modelled. second various NN models built predict behaviour using model past network inputs belonging early sunrise hours each day, generated values...

Among various approaches to eye tracking systems, light-reflection based systems with non-imaging sensors, e.g., photodiodes or phototransistors, are known have relatively low complexity; yet, they provide moderately accurate estimation of the point gaze. In this paper, a low-computational approach on gaze is proposed using Eye Touch system, which previously introduced by authors. Based physical implementation Touch, sensor measurements now utilized in least-squares algorithms estimate...

In this paper, covariance behavior of several features (signature identifiers) that are determined from the voltage waveform within a time window for power-quality (PQ) event detection and classification is analyzed. A feature vector using selected signature identifiers such as local wavelet transform extrema at various decomposition levels, spectral harmonic ratios, higher order statistical parameters, constructed. It observed vectors corresponding to power quality instances can be...