A high accuracy medical image registration is needed to achieve an efficient medical diagnosis and computer aided surgeries, so that a novel region based medical image registration approach is presented in this paper. This approach consists of four sequential steps, image segmentation, point correspondence using a modified artificial immune system, point selection and finally LMS technique is u...

To improve the accuracy of image matching shoeprint image feature matching method based on PCA-SIFT is proposed. Firstly, feature detection and pre-matching of images are done by using PCA-SIFT (principal component analysisscale invariant feature transform) algorithm. And then, the correlation coefficient is used as similarity measurement, which can filter image interest points. By this method,...

This paper proposes an image registration algorithm based on improved SIFT feature. In the feature detection, evenly distributed feature points are detected using non-maximum suppression and reduces detection times by dynamic adjustment of detecting step. While employs feature matching, the threshold of Euclidean distance ratio is adaptively determined according to the properties of images. Las...

This paper introduces a new featurebased image registration algorithm which registers images by finding rotation and scale invariant features and matches them using an evidence accumulation process based on the Generalized Hough Transform. Once feature correspondence has been established, the transformation parameters are then estimated using Non-linear least squares (NLLS) and the standard RAN...

In order to solve the problems of low accuracy and efficiency point cloud registration for stereo camera systems, we propose a binocular method based on IWOA Improved ICP. We following approaches in this paper—the process is divided into two steps complete initial coarse exact registration. stage, an improved Whale Optimization Algorithm (IWOA) nonlinear convergence factor adaptive weight coeff...

A homography matrix is used in computer vision field to solve the correspondence problem between a pair of stereo images. RANSAC algorithm is often used to calculate the homography matrix by randomly selecting a set of features iteratively. CSRANSAC algorithm in this paper converts RANSAC algorithm into two-layers. The first layer is addressing sampling problem which we can describe our knowled...

The paper presents a registration algorithm based on the Analytical Fourier-Mellin Transform (AFMT). In the Fourier Mellin registration algorithm, the estimation of the geometrical transformation is only done in the Fourier Transform phase domain which is known by containing the shape information. The proposed algorithm will be used to estimate homography since in the vicinity of key points, we...

An accurate image registration is a fundamental stage in many image processing problems. In this paper a new and fast registration approach based on Scale Invariant Feature Transform keypoints descriptors, under Euclidean transformation model is proposed. The core idea of the proposed method is estimation of rotation angle and vertical and horizontal shifts using averaging of differences of SIF...