Different modalities in biomedical images, like CT, MRI and PET scanners, provide detailed cross-sectional views of human anatomy. This paper introduces three-dimensional brain reconstruction based on CT slices. It contains filtering, fuzzy segmentation, matching method of contours, cell array struc...

The purpose of this paper is to overcome the limitations of the traditional cranial defects restoration technique and better satisfy the aesthetic and comfort demands of different patients. An arithmetic profile curve blending technique was used based on a well-proportioned points cloud data obtaine...

This paper gives an efficient approach to reconstruct moving multiple objects (multi-object). Each object has independently rigid motion which includes translation and rotation. The traditional FBP algorithm can resolve the one-object motion problem rather well. However, it suffers from perceptible ...

It is known that detecting small moving objects in astronomical image sequences is a significant research problem in space surveillance. The new theory, compressive sensing, provides a very easy and computationally cheap coding scheme for onboard astronomical remote sensing. An algorithm for small m...

The inverse synthetic aperture radar (ISAR) imaging can be converted into a sparse reconstruction problem and solved by the li-norm minimization algorithm. The basis matrix in sparse ISAR imaging is usually characterized by the unknown rotation rate of a moving target, thus the rotation rate and the...