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In this paper, we present a novel and effective method for registering histological slices of a mouse brain to reconstruct a 3-D volume. First, intensity variations in images are corrected through an intensity standardization process so that intensity values remain constant across slices. Second, the image space is transformed to a feature space where continuous variables are taken as high fidelity...
We proposed a new method of 3d scene reconstruction based on laser scan ranger data for simulation systems and virtual experiment environments. We gave restrictions of linkage between isolation points thus build up the complete meshes. Furthermore, a method of mesh simplification is given. The results show that our method is quick and efficient, and could greatly cut down polygons.
We propose a method of Scene Reconstruction based on Multi-Sensor on Robot systems. Height-field data generated by this method is smooth and continues, the algorithm could also fill the empty region of scene cause by restriction of experiment environment efficiently. The region generate by our algorithm is smooth, without sharp edges. The experiments prove that the result is proper for 3D terrain...
3-D reconstruction from medical images is an important application of computer graphics and biomedicine image processing. Image segmentation is a crucial step in 3-D reconstruction. In this paper, an improved image segmentation method which is suitable for 3-D reconstruction is put forward. A 3-D reconstruction algorithm is used to reconstruct the 3-D model from images. First, rough edge is extracted...
This paper presents a hardware implementation of a secure and reliable k-out-of-n threshold based secret image sharing method. The secret image is divided into n image shares so that any k image shares are sufficient to reconstruct the secret image in a lossless manner, but (k-1) or fewer image shares cannot reveal anything about the secret image. This secret sharing method comprises multiple independent...
Diffusion-weighted (DW) magnetic resonance imaging is the only non-invasive and in-vivo method available for studying brain white matter anatomical connectivity. Tractography algorithms have been developed to reconstruct neuronal tracts utilizing DW images. In this study, a new tractography method is presented. This is based on a fuzzy framework, as suggested by the intrinsic fuzzy nature of medical...
In this paper, we propose a computational framework for 3D volume reconstruction from 2D histological slices using registration algorithms in feature space. To improve the quality of reconstructed 3D volume, first, intensity variations in images are corrected by an in tensity standardization process which maps image intensity scale to a standard scale where similar intensities correspond to similar...
A computational framework for 3D volume reconstruction from 2D histological slices using registration algorithms in feature space is proposed. To improve the quality of reconstructed 3D volume, first, intensity variations in images are corrected by an intensity standardization process which maps image intensity scale to a standard scale where similar intensities correspond to similar tissues. Second,...
This paper presents a reliable image secret sharing method which incorporates two k-out-of-n secret sharing schemes: i) Shamir's secret sharing scheme and ii) matrix projection secret sharing scheme. The technique allows a colored secret image to be divided as n image shares so that: i) any k image shares (k les n) are sufficient to reconstruct the secret image in the lossless manner and ii) any (k...
This paper presents an image secret sharing method which essentially incorporates two k-out-of-n secret sharing schemes: i) Shamir's secret sharing scheme and ii) matrix projection secret sharing scheme. The technique allows a secret image to be divided as n image shares so that: i) any k image shares (klesn) can be used to reconstruct the secret image in lossless manner and ii) any (k-1) or fewer...
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