The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
General object recognition is difficult. We had proposed a novel solution for object recognition in an unconstrained environment using a tag (Matas[2]). This simplifies the problem by placing tags of special pattern on the objects that allows us to determine the pose easily. A robust calibration chart detector was developed for the first stage of the solution (Soh[l]). This paper investigates the...
A curvature based technique for fast range image registration is described in this work. With this technique the rotation and the displacement of a surface with respect to another one is calculated. The proposed algorithm uses Gaussian curvature information from each image point to extract a number of feature points. Two bounds are applied to the curvature values. Points with these bound curvature...
We define a morphological algorithm to combine two overlapping images into a single one by a process named photomosaicking. By means of a very powerful morphological operation, namely, the watershed transformation, the method described here considers global information of a correlation image to obtain a seam which is connected, irregular and, thus, more realistic than those defined by the existing...
Intrauterine fetal growth restriction (IUGR) is linked to increased cardiovascular mortality during adulthood. IUGR induces an increase in aortic intima-media thickness (aIMT) which can be detected from fetal ultrasound images, potentially improving IUGR assessment and thus cardiovascular risk management. Unfortunately this measurement currently relies on tedious and error-prone manual tracing. The...
In this paper a reliable and robust method is presented for the quantification of Focal Arteriolar Narrowing (FAN), a precursor for hypertension, stroke and other cardiovascular diseases. Our contribution in this paper is that we have proposed a novel edge based retinal blood vessel segmentation technique which is very effective in low contrast retinal images. In addition to that we developed a robust...
In this paper, we propose a new image denoising scheme that is an integration of a content-adaptive guided filter and a collaborative Wiener filter. The proposed scheme consists of two steps. First a content-adaptive guided filter, which smoothes image based on spatial similarity within a local window, is applied. The content-adaptive guided filter can efficiently preserve edges while smoothing noise...
In this paper, we propose a novel autoregressive (AR) model based on the adaptive window and the patch-geodesic distance for the image interpolation. The model combines the information of inner/inter-patch correlation. To model the inner-patch correlation, we introduce a patch-geodesic distance similarity metric. The proposed metric shows the desirable capacity to depict the piecewise-stationarity...
In this work we consider the problem of global DNA sequence alignment. One of the best known and most efficient computational techniques used for this task is the cross-correlation method. We compare efficacy of evaluating periodic DNA sequence misalignment using the standard magnitude-and-phase cross- correlation technique with the lesser known phase-only cross-correlation method. We prove that for...
Fingerprint is most important and widely used biometrics trait for identification. However, the fingerprint identification is still a challenging task in forensic science for criminal investigation and identification due to less area of region of interest (i.e.ridges and valleys) in the obtained fingerprints. Entire fingerprint is obtained only when it is given intentionally. But, in the case of criminal...
In this paper we conduct a statistical analysis of the sensitivity and consistency behavior of objective image quality measures. We categorize the quality measures and compare them for still image compression applications. The measures have been categorized into pixel difference-based, correlation-based, edge-based, spectral-based, context-based and HVS-based (Human Visual System-based) measures....
A video summarization technique is proposed in this work using minimal spanning tree (MST) of data points. The data points correspond to image frames of a shot in the video which is to be summarized. Correlation is chosen as a similarity metric for computing the edge weights of the MST. The representative frames for each shot are chosen by computing the density of each data point. A novel method for...
A finished product should be quality assured to meet the needs, expectations and requirements it is intended for. As quality through human inspection may lead to errors and may not be adequate for instant and mass production, current high speed production lines require automated inspection with precise critical objective measurements and high reliability. Image processing has become a key tool in...
An Image matching technique of target objects recognition and detection is widely used in industrial image processing. In this paper, the authors proposed eigen template method for two dimentional target objects recognition and detection. We have proposed eigen template method of applying the principal component analysis (PCA) to image matching. Also, the authors have proposed to edge based eigen...
Reversible data hiding recovers the original image from the stego-image without distortion after data extraction. In this paper, we propose a novel reversible data hiding method based on adaptive prediction techniques and histogram shifting. Because most natural images always contain edges, it is not suitable to predict these pixels using existing prediction methods. For more precise prediction, two...
In this paper, we introduce a novel block-based multiscale error concealment method using low-rank completion. The proposed method searches for similar blocks and utilizes low-rank completion to recover the missing pixels. In order to make the full use of the hidden redundant information of images, we seek for more similar blocks by building an image pyramid. The blocks collected from the pyramid...
This paper presents a technique to optimize contour based template matching by using General Purpose computation on Graphics Processing Units (GPGPU). Contour based template matching requires edge detection and searching for presence of a template in an entire image, real time implementation of which is not trivial. Using the proposed solution, we could achieve an implementation fast enough to process...
Pre-implantation genetic diagnosis (PGD) is a prenatal diagnosis process that analyses embryos grown in vitro for well-defined genetic defects. In order to obtain one or two blastomeres from an embryo for analysis, embryo biopsy is performed. Embryo biopsy is a process that opens the zona pellucida of an embryo and extracts internal materials, blastomeres in this case, prior to genetic diagnosis....
To automatically detect blur in images, without needing to perform blur kernel estimation, we develop a new blur descriptor. It is modeled by image perceptual gradient statistics. As blurring affects especially edges, the proposed idea turns on extract specific statistical features from the perceptual edge map in the wavelet domain using the just noticeable blur concept (JNB). Extracted statistical...
In recent decade, the Received Signal Strength (RSS) based indoor localization has caught significant attention, but it always suffers from the time-consuming and labor intensive fingerprint calibration. At the same time, the Simultaneous Localization and Mapping (SLAM) technique is considered with the low time and laboring cost, whereas the dedicated hardware is often required. To solve these problems,...
With the growing demands for 3D and multi-view video content, efficient depth data coding becomes a vital issue in image and video coding area. In this paper, we propose a simple depth coding scheme using multiple prediction modes exploiting temporal correlation of depth map. Current depth coding techniques mostly depend on intra-coding mode that cannot get the advantage of temporal redundancy in...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.