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In this paper, we propose to investigate the joint use of high-resolution optical and SAR data, for building extraction and 3D reconstruction in large urban areas. A sequence of methods providing, in a semi-automatic way, the building detection and reconstruction is presented. Potential building footprints are first extracted on an optical image by a two-phases process (coarse detection and boundaries...
Among approaches in implementing digital rights management, image fingerprinting technique is considered to be one of the most attractive solutions, especially in detecting illegal use of image works. The deficiency of the existing image fingerprinting methods is that they can not deal with geometric transformations, such as aspect ratio changes, rotations, cropping, combining, etc. Aiming at this...
With the continuing increase in the number of images collected every day from different sensors, automated registration of multisensor/multispectral images has become a very important issue. This is especially true when pre- and post-event image comparison is concerned: for this particular application, the requirement of obtaining the earliest possible post-event image imposes the use of data potentially...
Image registration is an essential step in many image processing applications that need visual information from multiple images for comparison, integration or analysis. Recently researchers have introduced image registration techniques using the log-polar transform (LPT) for its rotation and scale invariant properties. However, the accuracy of the approach limits by the number of samples used in the...
This paper proposes an efficient and robust algorithm to recover a panorama from poorly-obtained UAV video frames contaminated with significant noise. In this algorithm, the eigen-space based neighborhood region will be introduced with our novel feature-based random M least-squares (RMLS) registration technique. Meanwhile, the corresponding similarity regions will be assigned weights according to...
The image registration based on the features of the image is a major research direction.The points feature is used in traditional registration methods,but the lines and other basic features are ignored. So,an image auto registration method based on natural heterogeneous features is given out. First, the feature points are detected using Harris feature detector and the feature line segments are detected...
Unmanned aerial vehicles (UAVs) are regularly outfitted with payloads that include high resolution surveillance cameras. These surveillance systems have provided the military with the opportunity to monitor battlefields and remote terrain, carryout reconnaissance missions and track targets all from distant ground stations without endangering UAV operators. As with any remote sensing technology there...
CORDIC, a hardware efficient algorithm, is commonly employed to implement the linear Hough transform (HT) for detecting straight lines in images. In this paper, we exploit the properties of the CORDIC algorithm to accelerate the HT computations. Unlike the conventional approaches, where CORDIC is used for computing HT for a given set of angles, the proposed method uses CORDIC to define the angle set...
Multifocus fusion is an important technique to integrate focal information from a set of input registered images. In this effort, a novel image fusion algorithm based on adaptive features matching is presented. Given an over-complete Gabor dictionary, through orthogonal matching pursuit signal decomposition algorithm, each source image can be described by sparse combinations of these atoms which capture...
Many computer vision methods rely on frame registration information obtained with algorithms such as the Kanade-Lucas-Tomasi (KLT) feature tracker, which is known for its excellent performance in that area. Various research groups proposed methods to extend its performance, both in terms of execution time and stability. Recent research has shown that current graphics processing units (GPUs) have proven...
A robust copyright protection scheme for digital images is proposed in the paper. In the proposed scheme, the watermark does not require to be embedded into the protected image but is used to generate a secret image by addition operations over finite groups. Then the secret image is registered to certified authority (CA) for further protection. Color images can be used as the watermark is the most...
Automatic registration in microscopic image sequence is a classical problem, which has not been solved well so far. According to the features of medical microscopic image sequence, the SIFT feature detection method of microscopic image registration is introduced. As large dimension of the traditional SIFT descriptor and its complex algorithm, an improved algorithm of the SIFT is presented, which can...
The existence of numerous imaging modalities makes it possible to present different data present in different modalities together thus forming multimodal images. Component images forming multimodal images should be aligned, or registered so that all the data, coming from the different modalities, are displayed in proper locations. Mutual Information is the similarity measure used in this case for...
In the paper we propose a novel multi-layer Mixed Markov model for detecting relevant changes in registered aerial images taken with significant time differences. The introduced approach combines global intensity statistics with local correlation and contrast features. A global energy optimization process simultaneously ensures optimal local feature selection and smooth, observation-consistent classification...
Iris registration aims at processing many iris images which collected from the same person, these images are different in pupil size, texture and so on. The study in this research field is very valuable. In this paper we have proposed that apply curve fitting technology in iris registration. First, the Harris corner detection has been employed to check the feature of iris images, followed we have...
Multisensor image registration is necessary in many applications of remote sensing imagery, the crucial problem is how to establish the correspondence between the features extracted from the reference and input image. Generally, most existing methods only use feature similarity or intensity similarity. In this paper, a coarse-to-refined method, which combines modified scale invariant feature transform...
Tie-point extraction is the key step of coregistration of multitemporal images. In this paper, Scale invariant feature transformation (SIFT) is applied to extract tie-points from multitemporal SAR images. A histogram-based preprocessing method and the optimization of SIFT parameters are proposed for increasing the number of correct tie-points. We explore the performance of SIFT algorithm on different...
In this paper a registration method based on Harris corners is proposed. It is composed of three main steps: extraction of feature point using a Harris corner detector, obtaining the correspondence between the features points of the reference and input image based on rotation normalized gray level information around the corners, and estimating the transformation parameters mapping the input image...
Image registration has been widely used in many works of image processing. But it is difficult to find the accuracy information such as translation, rotation, and scaling between images. This paper proposes an algorithm that Fourier based image registration using the pyramid edge detection and line fitting. It is possible to find the registration information of sub-pixel. So, we can find more accurate...
Image registration is an essential task in many image processing applications. Log-polar transform (LPT) is a well known tool for image processing for its rotation and scale invariant properties. However it suffers from nonuniform sampling which makes it not suitable for the environment when registered images are altered or occluded. Inspired by LPT, this paper presents a new algorithm that addresses...
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