Work

Improvement of SURF Feature Image Registration Algorithm Based on Cluster Analysis

Year: 2014

Type: article

Abstract: The present study concentrating about image registration based on feature. With the shortcomings of low precision and limited applicability in the traditional registration algorithm by using random sample consensus method, an improved registration algorithm is proposed in this paper. Cluster analysis based on shared nearest neighbor is used to eliminate mismatching pairs. Initial matching pairs are used to construct two-dimensional vectors. These vectors are divided into different groups according to SNN similarity, and then the appropriate groups are selected as the final matching pairs to calculate parameters of the transform model. Experimental results show that this algorithm improves the accuracy, applicability and robustness of registration, and satisfies the need of image mosaic.

Source: DOAJ (DOAJ: Directory of Open Access Journals)

Authors: Xulin LONG, Qiang CHEN, Xiaoya GAO, Shuyun CHEN

Institutions: Nanjing University, China North Industries Group Corporation (China)

Language: English

Topic: Advanced Image and Video Retrieval Techniques

Subfield: Computer Vision and Pattern Recognition

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

OpenAlex ID: W2564296268

FWCI:

Cites: 9

Cited by: 1

Related to: 10