Regularization methods are commonly used in X-ray CT image reconstruction. Different regularization methods reflect the characterization of different prior knowledge of images. In a recent work, a new regularization method called a low-dimensional manifold model (LDMM) is investigated to characterize the low-dimensional patch manifold structure of natural images, where the manifold dimensionali...

In this paper the effectiveness of a novel method of computer assisted pedicle screw insertion was studied using testing of hypothesis procedure with a sample size of 48. Pattern recognition based on geometric features of markers on the drill has been performed on real time optical video obtained from orthogonally placed CCD cameras. The study reveals the exactness of the calculated position of...

A computed tomography (CT) image simulation technique based on the point spread function (PSF) was applied to analyze the accuracy of CT-based clinical evaluations of lung nodule density. The PSF of the CT system was measured and used to perform the lung nodule image simulation. Then, the simulated image was resampled at intervals equal to the pixel size and the slice interval found in clinical...

Abstract—Image reconstruction is an active research field, due to the increasing need for geometric 3D models in movie industry, games, virtual environments and in medical fields. 3D image reconstruction aims to arrive at the 3D model of an object, from its 2D images taken at different viewing angles. Medical images are multimodal, which includes MRI, CT scan image, PET and SPECT images. Of the...

Recent advances in CCD technologies, processing speed and image understanding have been driving the development of the camera-based positioning systems. An improved performance of optical systems has triggered image based positioning methods to become an attractive alternative for applications in industrial metrology as well as for robotand pedestrian navigation. This paper provides a survey of...

Using non-smooth regularization in X-ray computed tomography (CT) image reconstruction has become more popular these days due to the recent resurgence of the classic augmented Lagrangian (AL) methods in fields such as totalvariation (TV) denoising and compressed sensing (CS). For example, undersampling projection views is one way to reduce radiation dose in CT scans; however, this causes strong...

A simplified color image formation model is used to construct an algorithm for image reconstruction from CCD sensors samples. The proposed method involves two successive steps. The first is motivated by Cok's template matching technique, while the second step uses steerable inverse diffusion in color. Classical linear signal processing techniques tend to oversmooth the image and result in notic...

This is a color gure] 2. The Red and Green components of a 1D image. 3. The Red and Green components painted as surfaces in x; y; I with the inverse diiusion (across the edge) and diiusion (along the edge) directions. Original image (before sampling) Reconstruction (bilinear interpolation) Reconstruction (weighted interpolation) Enhancement Original image (before sampling) Reconstruction (bilin...