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Accurate registration is crucial to medical image analysis and visualization. In this paper, we propose an improved image registration technique based on Demons technique. The proposed technique improves registration quality by combining symmetric gradient and orthogonal gradient information. Experimental results show that the proposed technique provides a superior performance(13%-21% improvement)...
Image registration plays an important role in many image processing applications. This paper proposed a robust image registration method that can estimate motion parameters including translation and rotation from a group of different-exposed images. Brightness change and photometric distortion, i.e., under-exposed or over-exposed, between images will result in inaccuracy of the estimation. To solve...
This paper presents an efficient multiresolution video stabilization algorithm based on the Scale Invariant Feature Transform (SIFT) algorithm. The algorithm utilizes the Haar wavelet transformation of registered images, reducing the memory consumption while maintaining accuracy of the feature points, which we will quantitatively contrast in the paper.
When two or more images of a scene are joined, one would like to know the accuracy of the joined image. In this paper we carry out a comparison of several different error metrics which are computed directly from the given images and their join (i.e., no "ground truth" value is assumed). We compare the error metrics by correlating them with a map registration error which we regard as a "ground...
Image registration has traditionally been performed by estimating parametric transformation between two images. In this paper, we extend the standard approach to multiple images and adopt the photogrammetric process to improve accuracy of registration. In particular, we use a multi-head camera mount providing multiple non-overlapping images per time epoch and use multiple epochs which increase the...
Edge based image registration is efficient for multisensor image registration. However, original similarity measures are sensitive to noise or geometric distortion. In order to solve the problems, a new similarity measure is proposed combining chord distance and local geometric modal. Meanwhile consistency between global and local geometric modal is used to enhance the robustness of registration....
Multi-sensor image registration is a challenging task in remote sensing. Considering the fact that multi-sensor devices capture the images at different times, multi-spectral image registration is necessary for data fusion of the images. Several conventional methods for image registration suffer from poor performance due to their sensitivity to scale and intensity variation. The scale invariant feature...
The purpose of this paper is to provide an algorithmic overview of the interferometric processing embedded in the Integrated TanDEM-X Processor (ITP), settled to the generation of the raw digital elevation model (DEM). The main processing blocks are described, with a focus on the spectral matching of the azimuth spectra, the high-precision coregistration, the dual-baseline phase unwrapping and the...
Pushbroom sensors are widely used for earth observation from space; this camera captures 1-D image and uses straight motion of the satellite to build a 2-D image. Yet, attitude variations of the satellite during the aquisition process can lead to significant distortions in the 2-D image. Current solutions use inertial sensors to record attitude variations and correct images, but they are expensive...
Hyperspectral imaging sensors suffer from spectral and spatial misregistrations. These artifacts prevent the accurate acquisition of the spectra and thus reduce classification accuracy. The main objective of this work is to detect and correct spectral and spatial misregistrations of hyperspectral images. The Hyperion visible near-infrared (VNIR) subsystem is used as an example. An image registration...
In this paper a novel method for registration of multitemporal very high geometrical resolution (VHR) remote sensing images is presented. It relies on the extraction of a large set of control points (CPs) used for the estimation of a disparity map exploited for the registration process. CPs are automatically identified in both the images through the estimation and analysis of the distribution of registration...
A method is proposed to process registered images to reduce the effects of registration noise in change detection. The proposed method is based on the pixel-level misregistration map and the gradients of the registered image. Thin plate spline (TPS) transform is selected to estimate the misregistration of each pixel using available tie points. For each pixel, the compensation is composed of two parts:...
In this paper, we present a new approach that combines quaternion Fourier transform and parametric template method for registering color images that allows for scaling, translation, and rotation. We can accurately estimate model geometrical parameters based on the properties of quaternion Fourier transform. Inspired by parametric template method that allows fast estimation of the model parameters...
An algorithm for automated extraction of interest points (IP) in hyperspectral images is presented. IP are features of the image that capture information from its neighbors and are distinctive and stable under translation and rotation. IP operators for gray level images were proposed more than a decade ago and have since been studied extensively. IP are helpful in data reduction to reduce the computational...
Urban environment monitoring is one of the most important applications of Remote Sensing. In this paper, two images, acquired by Landsat-7 ETM+ on 14 September 2000 and Landsat-5 TM on 12 August 2005 respectively, are used to learn land-cover changes. The study area is within the round-city highway of Xuzhou city, China. Firstly, image registration and haze removal are performed. Then four endmembers,...
Post-classification comparison is a common approach used for multi-sensor remote sensed imagery change detection in practice because it not only minimizes the impacts of sensor difference between multi-temporal images but also detect the detailed `from-to' change while many other techniques can only detect `change/non-change' information. But this approach also presents some well-known limitations,...
The Scale Invariant Feature Transform (SIFT) has been widely used in remote sensing image registration. However, there are many false matches when it is adopted to align images of different sensors. In this paper, a new method based on the combination of image classification and SIFT descriptor is proposed to improve the performance of registration. Experiment results support the potential of the...
Breast cancer is the most common cancer in women. The deviation from the normal architectural symmetry of the left and right breasts can indicate the abnormalities in early stage of breast cancer development. This paper presents a computer-aided detection algorithm for bilateral asymmetry in mammograms. First, the left and right mammograms are aligned by a novel non-rigid registration method which...
Extended field-of-view (EFOV) can acquire a full field of vision, which can help doctors to make more objective and accurate diagnosis. Current EFOV techniques suffer from the low computation speed due to the large amount of ultrasound data of image blocks to be registered. This paper describes a novel technique to register 2D ultrasound images and form EFOV images with significantly reduced computation...
The generation of digitally reconstructed radiographs (DRRs) is a significant procedure in several medical imaging applications such as 2D/3D image registration. Also, digitally reconstructed radiographs play an important role in modern radiation therapy. They are planar X-rays that can be generated from the same data sets used for the planning CT scan, taken with the patient in the treatment position...
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