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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...
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...
Optimization of the similarity measure is an essential theme in medical image registration. In this paper, a novel continuous medical image registration approach (CMIR) is proposed. The CMIR, considering the feedback from users and their preferences on the trade-off between global registration and local registration, extracts the concerned region by user interaction and continuously optimizing the...
This paper researched scale invariant feature transform (SIFT) which is feature extraction method of image processing, and it is stable for image feature registration. And image mosaic needs the fusion of overlapped region after the image registration. The research of image fusion in mosaic nowadays is concentrated on multi-resolution mosaic simply, and ignores the similarity of feature points among...
A technique utilizing an entropy measure is developed for automatically tuning the segmentation of screening mammograms by minimum spanning trees (MST). The lack of such technique has been a major obstacle in previous work to segment mammograms for registration and applying mass detection algorithms. The proposed method is tested on two sets of mammograms: a set of 55 mammograms chosen from a publicly...
To resolve the problem of large angle and large scale image registration, an improved approach combining log-polar and SIFT is proposed. Firstly, the log-polar technique is implemented in order to achieve the preliminary registration result as well as estimate the arbitrary rotations parameters and large scale changes. Secondly, image is segmented into sub-blocks and six candidates of sub-blocks are...
Characteristic marks on the cartridge can be viewed as a ??fingerprint?? for identification of a firearm. Sometimes, however, not all information can be obtained from just one image due to the limitations of microscope and the unsmoothed specimen surface in the cartridge case image detection. Image mosaic that refers to the combination of two or more images into a single composite image is precisely...
This paper proposes a block-based approach to the problem of image registration for detecting camera motion in the presence of moving objects, intended for application in the area of video inpainting for the film industry. The method of aggregating search results on individual blocks during the registration offers a simple and effective way to isolate the background transform, as well as offering...
A new video stitch algorithm based on dynamic foreground extraction is proposed in this paper. The algorithm is found on static image mosaic. To solve the problem caused by the moving objects in the videos, the background images are extracted. Using the featured-based method to get the transformation matrix between the background images, a wide background video is stitched up. This method greatly...
Image fusion is nothing but information fusion on the basis of acquired images. From this understanding, image fusion is not a "pure" image processing problem. Rather, we should pay more attention to the underlying physical mechanism needed by image fusion. In this paper we discuss a few primary problems that would be essential in the theory and technique of multi-sensor image fusion. On...
This paper proposes a novel region based image fusion scheme based on high boost filtering concept using discrete wavelet transform. In the recent literature, region based image fusion methods show better performance than pixel based image fusion method. Proposed method is a novel idea which uses high boost filtering concept to get an accurate segmentation using discrete wavelet transform. This concept...
Imaging systems, particularly those on board satellites, provide a repetitive and consistent view of the earth that has been used in many remote sensing applications such as urban growth, deforestation and crop monitoring, weather prediction, land use mapping, land cover mapping and so on. For each application it is necessary to develop a specific methodology to extract information from the image...
This paper presents some experiments on different image processing techniques combined and adapted to define a procedure aimed at improving the readability of ancient degraded documents. The focus is on documents affected by the bleed-through effect, which significantly reduces readability. The availability of the recto and verso scans of any single page is assumed. The proposed procedure is composed...
The measurements from registered images obtained from cone beam computed tomography (CBCT) and a photogrammetric sensor are used to track three-dimensional shape variations of orthodontic patients before and after their treatments. The methodology consists of five main steps: (1) the patient's bone and skin shapes are measured in 3D using the fusion of images from a CBCT and a photogrammetric sensor...
Computed tomography (CT) is used for the attenuation correction of positron emission tomography (PET) to enhance the efficiency of data acquisition process and to improve the quality of the reconstructed PET data in the brain. Due to the use of two different modalities, chances of misalignment between PET and CT images are quite significant. The main cause of this misregistration is the motion of...
This paper describes a new approach to automatic detection and 3D measurement of a rectangular solid in a single image shot under two imaging conditions. We find its six outer vertices in the image by searching the largest convex hexagon with a sufficiently small back projection error, and determine their 3D coordinates by using the rectangularity constraint. Experimental results show the accuracy...
A novel method for the segmentation of double-sided ancient document images suffering from bleed-through effect is presented. It takes advantage of the level set framework to provide a completely integrated process for the segmentation of the text along with the removal of the bleed-through interfering patterns. This process is driven by three forces: 1) a binarization force based on an adaptive global...
With the launch of several Lunar missions such as the Lunar Reconnaissance Orbiter (LRO) and Chandrayaan-1, a large amount of Lunar images will be acquired and will need to be analyzed. Although many automatic feature extraction methods have been proposed and utilized for Earth remote sensing images, these methods are not always applicable to Lunar data that often present low contrast and uneven illumination...
The intensity value of each voxel in a brain MR image is considered to be a linear combination of signal intensities emitted from protons in aqueous and lipid environments inside that voxel. A novel model describing the proton density (PD) and fraction of protons in aqueous environment (Water Fraction - WF) as independent sources of an MR image is suggested. We consider an input set of registered...
This paper presents a approach of SIFT feature points matching for image mosaic. This method combines improved K-means clustering and simulated annealing algorithm to match SIFT feature points. Firstly, high robust points are extracted by SIFT algorithm; Secondly, cluster with the initial centers obtained by density function, and then optimize the results of clustering which are used as initial results...
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