Hybrid Thinning Through Reconstruction

A Hybrid Thinning Algorithm

His research interest includes medical image registration, fusion and 3D parallel thinning algorithms. Attila Kuba is the head of the Department of Applied Informatics, JJ ozsef Attila University , Szeged. His research interests are image processing, its applications in medicine, image reconstruction and discrete tomography. Thinning is a frequently used method for extracting skeletons in discr...

A Thinning Algorithm for Topologically Correct 3d Surface Reconstruction

The existing algorithms for 3D surface reconstruction from point clouds require objects with smooth surfaces and extremely dense samplings with no or only very few noise in order to guarantee a correct result. Moreover they can only be applied to single object reconstruction and not to segmentation of three or more regions. We have developed an alternative surface reconstruction method wich pre...

Pattern Reconstructability in Fully Parallel Thinning

It is a challenging topic to perform pattern reconstruction from a unit-width skeleton, which is obtained by a parallel thinning algorithm. The bias skeleton yielded by a fully-parallel thinning algorithm, which usually results from the so-called hidden deletable points, will result in the difficulty of pattern reconstruction. In order to make a fully-parallel thinning algorithm pattern reconst...

Ads-based Hybrid Methods for Array Thinning

Orchard and Tree Mapping and Description Using Stereo Vision and Lidar

A novel approach for orchard scanning is proposed that is validated through automatic separation of trees and height measurements. The experiments were done in a real orchard recording data from a moving vehicle, using Lidar and stereo vision. The orchard reconstruction was done using tilt sensor corrected GPS positions interpolated through encoder counts. The accuracy of the reconstruction and...