This paper suggests the nonlinear parameter of self-similarity as a novel feature to be employed in wavelet packet based voice signal analysis. Two groups of normal and pathological voice signals have been decomposed using wavelet packets. Next, self similar characteristics of reconstructed signals in each node have been calculated. Consequently, discrimination ability of each node has been obt...

An automated system for analyzing daily dietary intake is essential human well-being and healthcare. This work presents a novel wearable necklace embedded with piezoelectric sensor microcontroller to monitor food ingestion of users. To effectively represent the patterns, signal dynamically segmented using bidirectional search technique. Each pattern consists chewing sequence swallow peak. We ex...

This paper presents a new image indexing and retrieval algorithm by integrating color (HSV color histogram) and texture (directional binary wavelet patterns (DBWP)) features. For color feature, first the RGB image is converted to HSV image, and then histograms are constructed from HSV spaces. For texture feature, an 8-bit grayscale image is divided into eight binary bit-planes, and then binary ...

With the tremendous development of computer graphic rendering technology, photorealistic computer graphic images are difficult to differentiate from photo graphic images. In this article, a method is proposed based on discrete wavelet transform based binary statistical image features to distinguish computer graphic from photo graphic images using the support vector machine classifier. Textural ...

BACKGROUND Epilepsy causes when the repeated seizure occurs in the brain. Electroencephalogram (EEG) test provides valuable information about the brain functions and can be useful to detect brain disorder, especially for epilepsy. In this study, application for an automated seizure detection model has been introduced successfully. MATERIALS AND METHODS The EEG signals are decomposed into sub-...

In this paper we propose three robust and semi-blind digital color image watermarking algorithms. These algorithms are based on hybrid transforms using the combination of Discrete Cosine Transform (DCT) and Singular Value Decomposition (SVD), Discrete Wavelet Transform (DWT) and Singular Value Decomposition (SVD), Discrete Wavelet Transform (DWT), Discrete Cosine Transform (DCT) and Singular Va...

To improve transparency, as an important parameter in watermarking, and maintain robustness, a new quantization coefficient of the third and fourth sub-bands of Discrete Wavelet Transform (DWT) is being proposed. In this method, all coefficients of four-level Haar DWT sub-bands of a host image (HL4, LH4, HL3 and LH3) are divided into different non-overlapping blocks. Then, each block is divided...

Medical imaging techniques produce prohibitive amounts of digitized clinical data. Compression of medical images is a must due to large memory space required for transmission and storage. This paper presents an effective algorithm to compress and to reconstruct medical images. The proposed algorithm first extracts edge information of medical images by using fuzzy edge detector. The images are d...

This paper proposes a new lossless encryption algorithm for color images based on a six-dimensional (6D) hyperchaotic system and the two-dimensional (2D) discrete wavelet transform (DWT). Different from the current image encryption methods, our image encryption scheme is constructed using the 2D DWT and 6D hyperchaotic system in both the frequency domain and the spatial domain, where the key st...