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Extended-field-of-view (EFOV) sonography has been proven to be capable of illustrating panoramic ultrasound images. In EFOV technology, accurate registration of original images is the basis. Conventional registration methods based on block matching cannot provide adequate accuracy when the relative rotations among the images are large. To register the images with improved accuracy, this paper proposes...
We introduce a mobile system for creating high-resolution panoramic images. The user can rotate the camera around an arbitrary axis to create a 2D sweep and see a miniature preview panorama in real-time. The system tracks camera motion and automatically captures high-resolution images and generates a high-quality wide-view panoramic image. We employ a coarse-to-fine method for high-quality registration,...
This paper presents a complete system for electronic panoramic mirror based on image mosaic. In recent years, there has been growing interest in using image mosaic. We propose a system based on image mosaic, which obtains the scenes of all directions at one time compared to the traditional panoramic mirror. The key progress is image registration. The Scale Invariant Feature Transform (SIFT) algorithm...
In this paper, a new scheme to address the face recognition problem is proposed. Different from traditional face recognition approaches which represent each facial image by a single feature vector as the classification problem, the proposed method establishes a new way to formulate the face recognition problem as a deformable image registration problem. The main contributions of the paper lie in the...
To reduce the image collection condition in image mosaic, enhance the adaptability and flexibility of stitching algorithm, this paper presents a pixel from the feature extraction, matching between the image pixel transformation estimates and robust algorithm for automatic fusion splicing. The experimental results show that the algorithm not only maintained a good image stitching accuracy and robustness,...
An algorithm is proposed for performing underwater mine classification when provided with multiple synthetic aperture sonar (SAS) views of each object. The proposed method consists of three main steps. First, the multiple images of a given object are registered to a common reference frame. Second, the registered images are fused to form a single image, thereby allowing all of the information contained...
In order to extract the flat feature stars, which are used to implement the space image registration, a feature descriptor based on WLD (Weber Local Descriptor) and feature dynamic selection method is proposed in this paper. Firstly, the feature stars are extracted and described by excitation and orientation using the WLD transform. Then we utilize a dynamic feature selection algorithm (DFSA), which...
Proper feature descriptors are critical in the processing of image registration. In this paper, to overcome the high dimension of the local descriptor and the lack of gray-level information of SIFT, an improved registration algorithm is proposed to combine the advantages of SIFT and CCH. In the new algorithm, the descriptor construction method is improved, gray-level information is added and the size...
Pattern matching is a technique in which the location of a particular place is found by comparing its raw image with the image present in the database. It is used to check the presence of certain structure in an image. It is done between the reference image and database images sequentially pixel by pixel. Today's applications require more of georefrencing techniques like GIS and other geographic control...
State-of-the-art deformable registration algorithms do not perform as well with FA sequences because they are designed to deal with changes of content appearance (e.g., due to different sensors imaging the same organs) but not with content changes, which occur throughout a FA sequence as different portions or the vascular structure are visible (perfused) in different frames. This paper presents a...
Accurate retinal Image registration is essential to monitor and track the progress of various diseases. Since it is low quality images on Non-mydriatic or with the disease. Then vascular structure will become less clear. It becomes more difficult for the general registration methods. In this paper, a novel feature based retinal image registration method is proposed to solve this problem. SIFT(Scale...
Line matching is useful in many computer vision tasks such as object recognition, image registration, and 3D reconstruction. The literature on line matching has advanced in recent years, nevertheless, compared to other features (such as point and region matching approaches) it has made little progress. Especially, very few algorithms address the problem of image scaling. In this paper, we present...
In this paper, an image mosaic algorithm based on feature points is proposed by making a study of the image mosaic methods and the characteristics of pathological image. Points of interest (POI) are firstly extracted by Moravec operator in this method, and the corresponding feature matches of the original images are achieved by correlation coefficient. The parameters of affine transformation are calculated...
This paper proposes a new image registration method using no reference image. The proposed method embeds a two dimensional tracking pattern to the Fourier magnitude domain of an image to generate a stego image, by data hiding scheme based on a log-polar mapping. Once a stego image is geometrically deformed, this method estimates rotation angle and resizing scale by correlation between the original...
This paper presents the implementation of moment invariants; with respect to centroid point obtained from frontal mugshot images, for thermal-based face identification system. Initially, seeded region growing method is applied for background filtering. Sequentially, the system decomposes a background filtered thermal image into 4 thermal regions via 3-valued threshold method. Region with the lowest...
A pyramid approach for remote sensing image registration based on mutual information and grey relational analysis is presented. The methodology applies edge information of image extracted using grey relational analysis and combines with mutual information regarding as similarity measure. First, the image pyramid is constructed by wavelet transform, and then coarse-to-fine multi-resolution search approaches...
Panorama has an extensive research history in computer vision and image processing, with several commercial offerings on the market today. Photo registration is the key component for generating panoramas. Textured regions in photos bring challenges to the registration algorithms. However, so far there has been no specific research focusing on this problem. To address this issue, we proposed texture...
This paper presents the implementation of moment invariants in an infrared-based face identification system to develop a novel and less complicated face identification system in thermal spectrum. Initially the system decomposes an infrared image into 4 thermal regions via 3-valued threshold method. In order to increase the information obtained from each decomposed IR image, the first four of the classical...
In this paper, we propose a feature-based registration algorithm for the confocal fluorescence images captured by an endomicroscopy system. We first extract a number of feature points from the endomicroscopy images by applying the binarization-thinning process and using the Rutovitz crossing number. These feature points are then post-processed to eliminate the spurious ones. After that we use the...
Image registration is an inevitable problem arising in many image-processing applications whenever two or more images of the same scene have to be compared pixel by pixel. The increased volume of satellite images has reinforced the need for automatic image registration methods. In this paper, two new feature-based approaches to automated image-to-image registration are presented. The characteristic...
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