Feature Point Selection using Structural Graph Matching for MLS based Image Registration
نویسندگان
چکیده
منابع مشابه
Feature Point Selection using Structural Graph Matching for MLS based Image Registration
Image registration is a method of determining a mapping or a transformation that relates positions in one image, to the corresponding positions in the other images under considerations. The process of registration depends on the homologous control points that are selected from the source and the target images. This paper focuses on the use of the structural information of an image, for selectin...
متن کاملSmooth Simultaneous Structural Graph Matching and Point-Set Registration
We present a graph matching method that encompasses both a model of structural consistency and a model of geometrical deformations. Our method poses the graph matching problem as one of mixture modelling which is solved using the EM algorithm. The solution is then approximated as a succession of assignment problems which are solved, in a smooth way, using Softassign. Our method allows us to det...
متن کاملImage Mosaicing Technique Using Feature-Based Graph Matching Algorithm
This paper describes a new approach for nding proper overlapping regions from sequences of images. Previous works related to image mosaicing have used manual methods in order to nd their overlapping regions from image sequences. The goal of this work is to nd an overlapping region between two images automatically without any user-intervention for image mosaicing task. The eeciency of this work ...
متن کاملPixel-Based Hyperparameter Selection for Feature-Based Image Registration
This paper deals with parametric image registration from point correspondences in deformable environments. In this problem, it is essential to determine correct values for hyperparameters such as the number of control points of the warp, a smoothing parameter weighting a term in the cost function, or an M-estimator threshold. This is usually carried out either manually by a trial-and-error proc...
متن کاملGeometric-Feature-Based Spectral Graph Matching in Pharyngeal Surface Registration
Fusion between an endoscopic movie and a CT can aid specifying the tumor target volume for radiotherapy. That requires a deformable pharyngeal surface registration between a 3D endoscope reconstruction and a CT segmentation. In this paper, we propose to use local geometric features for deriving a set of initial correspondences between two surfaces, with which an association graph can be constru...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: International Journal of Computer Applications
سال: 2014
ISSN: 0975-8887
DOI: 10.5120/17513-8067