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Automation of liver positron emission tomography (PET) image segmentation is proposed in this paper. A new active contour model (ACM), called Poisson Gradient Vector Flow (PGVF), with genetic algorithm (GA) constructs a scheme to automatically find the contour of liver in the PET images. PET is widely used for the clinical purpose, but image quality of PET(More)
Biometric system is a very important recognition system which is used for individual verification and identification. Various types of biometric traits are used in today's world, in which some are used for commercial purpose and few used for verification purpose. Existing authentication techniques are suffer from different errors like mismatch image,(More)
This study presents an optimization-based image watermarking scheme with integrated quantization embedding. First, peak signal to noise ratio (PSNR) is rewritten as a performance index in matrix form. In order to guarantee the robustness, this study embeds a watermark into the low-frequency coefficients of discrete wavelet transform (DWT). Unlike(More)
BACKGROUND Asthma is a chronic disease characterized by airway inflammation caused by the dysregulated production of cytokines secreted by allergen-specific type 2 T helper (Th2) cells. Although the Th1-promoting cytokine, interleukin (IL)-12, is capable of inhibiting Th2-driven allergen-induced airway changes in mice, IL-12 also aggravates the Th1-driven(More)
Keywords: Credit rating KMV model Rough set theory Random forests Distance to default a b s t r a c t In current credit ratings models, various accounting-based information are usually selected as prediction variables, based on historical information rather than the market's assessment for future. In the study, we propose credit rating prediction model(More)
The main purpose of this study is to present a novel personal authentication approach that uses the electrocardiogram (ECG) signal. Because the ECG signal varies from person to person, it can be used as a new biometric for individual verification. The discrete wavelet transform was applied for extracting features. These wavelet coefficients derived from(More)