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A novel edge detection method based on a neighbourhood similarity criterion is presented in this paper. In this algorithm, the pixels in the original image that have minimum numbers of similar pixels among its neighbouring pixels in the filtering window are labelled as edge pixels. Simulation results demonstrate that this approach performs well in noise-free images but it is superior to the others...
A high performance detection (HPD) filter is proposed for impulse noise removal in images. In this approach, the noisy pixels are detected iteratively through several phases, based on a set of unique similarity criteria. Simulation results show that the HPD filter outperforms others at medium to high noise rates and suppresses impulse noise effectively while preserving image details, even thin lines.
This paper presents a new detection technique to detect the random valued-impulse noise. In this technique, the noisy pixels are detected progressively through several phases. In the first phase, the pixel that has a strange value amongst its neighboring pixels in the local window is detected first as a noisy pixel. Then in the next phase, the pixel that has less than three similar pixels amongst...
In this paper we propose a new method to determine the time difference of arrivals (TDOAs) for two objects. Using the estimation of TDOAs and the known algorithms such as least square (LS) or constrained least square (CLS), we can determine the locations of the two objects simultaneously. The main contribution is to determine the eigen vectors that are close to the received signals, based on the minimum...
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