Abstract Although many papers have used fractal dimension (FD) to analyze magnetic resonance imaging (MRI) for detecting various brain diseases, especially Alzheimer’s disease (AD), they […]
Abstract Commonly, the existing metrics such as mean square error (MSE), peak signal-to-noise ratio (PSNR), quality index (QI), structural similarity index metric (SSIM), and quality […]
Abstract A 3D model representing an object in three dimensions is employed in a variety of domains such as object analysis, simulation, and medical model. Currently, […]
Abstract Adaptive thresholding, the simple way to perform image segmentation, is a form of image thresholding used to classify pixels as dark and light. Taking […]
Abstract Principal component analysis (PCA) is one of the successful techniques for applying to face recognition, but its challenge still remains for solving an illumination […]
Abstract In this paper, we present an interactive multimedia artwork, which awakens motionless images to interactive animations. This animation simulates the colour-flow movement from painting […]
Abstract Although offline handwritten signature recognition has been continually researched, it still requires an improvement of recognition rate. Most of existing techniques focus on feature […]
Abstract Differential box-counting (DBC) is one of the commonly used methods to estimate fractal dimension (FD) for gray scale images. It has been successfully applied […]
Abstract A fractal dimension (FD) is an effective feature, which characterizes roughness and self-similarity of complex objects. However, the FD in nature scene requires the […]
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