Improved RANSAC features image‐matching method based on SURF

Registration of Brain Medical Images Based on SURF Algorithm and R-RANSAC Algorithm

This paper proposes a matching method for medical image registration, which combined with SURF (Speeded up Robust Features) algorithm and the improved R-RANSAC (the Randomized of Random Sample Consensus) algorithm. Firstly, this algorithm extracts featured points with SURF algorithm from images and matches similar featured points with Euclidean distance. Secondly, the RRANSAC algorithm is used ...

Research of Image Matching Based on Improved SURF Algorithm

In the study, it presents an efficient algorithm based on SURF (Speeded Up Robust Features). The method applies the SURF algorithm in the detection and description for image features, first it applies the SURF feature detector in extracting reference images and matching feature points in the image, respectively, then it uses DAISY algorithm instead of the SURF algorithm to calculate the charact...

Handwritten Signature Verification Based on Surf Features Using HMM

Handwritten signature broadly used biometric which include elevated intrapersonal variance .Signature are generally used as the personal identification apparatus for human that the necessitate for verification system. Two types verification is performed generally online (dynamic) and offline signature verification (static). The static is offline technology that is used for documents authenticat...

Large Crowd Count Based on Improved SURF Algorithm

This paper uses an analysis of Speeded up Robust Feature (SURF), based on the method of Linear Interpolation for camera distortion calibration, for high-density crowd counting. The eigenvalues are built on the Gray Level Co-occurrence Matrix (GLCM) features and the SURF features. Through the method of linear interpolation, weight values are interpolated to reduce the error, which is caused by c...

DT-RANSAC: A Delaunay Triangulation Based Scheme for Improved RANSAC Feature Matching