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The matched filter has been widely used in the detection of blood vessels of the human retina digital image. In this paper, the matched filter response to the detection of blood vessels is increased by proposing better filter parameters. These filter parameters are found by using an optimization procedure on 20 retina images of the DRIVE database.(More)
Due to the importance of the matched filter in the automated detection of blood vessels in digital retinal images, improving its response is highly desirable. This filter may vary in many ways depending on the parameters that govern its response. In this paper, new parameters to optimize the sensitivity of the matched filter are found using genetic(More)
BACKGROUND Predicting motor recovery in the arm of patients with stroke is generally based on clinical examination. However, neurophysiologic measures may also have a predictive value. OBJECTIVE We sought to assess the value of somatosensory evoked potentials (SSEPs) in predicting motor recovery of the upper limb and to determine whether any of the SSEPs(More)
Based on pseudo-Zernike radial polynomials and spherical harmonics, we introduce a new form of three-dimensional (3D) moments that we call 3D pseudo-Zernike moments (3DPZMs). Then, using recursive generation of; Zernike radial polynomials, pseudo-Zernike radial polynomials, associated Legendre functions, and introducing a novel method to define 3D(More)