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This paper presents an indirect adaptive self-tuning regulator for a four-leg active power filter with a high order grid filter which is used for reactive power and unbalanced and harmonic currents. The proposed scheme can guarantee a good performance in the presence of large signal changes in the operating point, uncertainty of the LCL filter components and effect of imperfect modeling. Also a decoupling...
The multilevel inverters (MLIs) utilization has been increased in recent years due to their lots of advantages. The MLI has many switches that increase the probability of fault events. In this paper a fault diagnosis method for a cascade H-bridge 7-level inverter is proposed. The output phase voltage is used to detect fault type and their locations. The histogram analysis is used for feature extraction...
The multilevel inverters (MLIs) utilization have been increased in recent years due to its advantages such as: staircase waveform quality, better harmonic spectrum, reduced EMI, eliminated common mode voltage and etc. Different methods have been proposed for multilevel inverter modulation that one of them is level-shifted PWM method (LS-PWM). In this paper a new LS-PWM method is introduced that uses...
In this paper the problem of eye detection in 2D grayscale images is addressed. The proposed method analyses the input face images in topographic format. The reason is to alleviate sensitivity of the algorithm to illumination and contrast changes. Invariant moments are used as robust features describing eye shape. A new strategy to select robust features based on their variance among training images...
In this paper we address the problem of gray image segmentation. Our approach falls in category of histogram based thresholding methods. From image we first construct a correlative histogram, based on intensity of image pixels and the average intensity of pixel neighbourhood. The proposed histogram is more informative than common intensity histogram for segmentation. Then we model the obtained histogram...
In this paper we present a robust algorithm for automatic fruit defect detection. The proposed method works based on analysis of fruit skin as a texture image. First a bank of Gabor filters is applied on the fruit image. Then based on the response of filters the optimal filter is selected among the filter bank. By thresholding the response of the optimal filter, the skin defects are detected. The...
This paper addresses new defect detection method in textile based on Morphological Analysis and Gabor wavelet filters responses. Our method consist of there part. First a bank of Gabor wavelet filters is applied on the textile image for extracting feature matrix. It is based on the energy response from the convolution of Gabor wavelet filters in different frequency and orientation domains. Then based...
Classification of remote sensing images from urban area as a means to achieve necessitated information for some applications such as automatic map updating and GIS, planning and emergency response has become one of the challenging subjects for image processing researches. In this paper, a method for classification of remote sensing image from urban area is addressed. First, motion based unsharp masking...
In this paper we propose a clustering method based on combination of the particle swarm optimization (PSO) and the k-mean algorithm. PSO algorithm was showed to successfully converge during the initial stages of a global search, but around global optimum, the search process will become very slow. On the contrary, k-means algorithm can achieve faster convergence to optimum solution. At the same time,...
We consider the problem of detecting car license plate in 2D images. In the first stage of algorithm we enhance the car image at interest regions by estimating image edge density. The enhanced image is then processed using the proposed match filter to extract candidates for car plate. The simplicity of this process makes it suitable for real-time applications. In order to extract car plate among the...
In this paper, we propose an algorithm for face detection in 2D intensity images. The method has two steps: extracting face candidates and filtering out the false positives. In the first stage we provide a face model by combining intensity and edginess information of face image. The extracted features are fuzzified to overcome the problem of variations in imaging system. We provide a fuzzy model for...
A novel approach based on vertical edge extraction is proposed for car plate detection. In order to manage the detection in low quality images (low contrast, blurred images etc), we first enhance image contrast at candidate regions for car plate. The vertical edges of the enhanced image are then extracted. Using morphological filtering, several candidates are constituted as license plate. Some distinctive...
In this paper we consider the problem of image blurring as a result of relative motion between image sensory and the scene. We propose an approach which is able to properly estimate orientation and extent of blur. A fine estimation of the blur parameters is a key point for restoration of blurred documents in photographic images. In this method we estimate the orientation of the blurred image using...
The success of many methods in fingerprint identification strongly depends on the accurate detection of singular points on the fingerprints. In this paper we propose a new approach for detecting the singular points. The method is based on measuring the maximal disturbance for direction of ridges in fingerprint images. We do not use the directional field in neighborhood of points directly so our method...
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