Removing salt and pepper noise is an active research area in image processing. In this paper, a two-phase method is proposed for removing salt and pepper noise while preserving edges and fine details. In the first phase, noise candidate pixels are detected which are likely to be contaminated by noise. In the second phase, only noise candidate pixels are restored using adaptive median filter. In...

background: the variable numbers of tandem-repeat (vntr) alleles at the phenylalanine hydroxylase (pah) gene have been used in carrier detection and prenatal diagnosis in phenylketonuria families. this study was carried out to analyze vntr alleles at the pah gene in iranian azeri turkish population. methods: in this study, 200 alleles from general population were studied by pcr. results: the fr...

In this paper, we describe a new speech/non-speech classification method that improves the endpoint detection performance for speech recognition in noisy environments. The proposed method uses multiple features to increase the robustness in noisy environments, and the classification and regression tree(CART) technique is applied to effectively combine these multiple features for classification ...

This paper presents an entropy-based algorithm for accurate and robust endpoint detection for speech recognition under noisy environments. Instead of using the conventional energy-based features, the spectral entropy is developed to identify the speech segments accurately. Experimental results show that this algorithm outperforms the energy-based algorithms in both detection accuracy and recogn...