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Pleural thickenings, which are an indicator for pleural mesothelioma, can be detected and analyzed using thoracic CT-data. They may cover a large area on the pleura surface and can have complex morphologies. Image noise, small deformations and especially the unclear boundary can significantly influence the segmentation process. Two independent segmentations from two points in time might independently...
A new technique for the filling-in of missing blocks in wireless transmission of block based compressed images is proposed. By intentionally (and automatically) dropping image blocks and using filling-in approach, the performance of the compression ratio can be improved. The approach removes only partial regions in the image and generates a smaller image of same size as the original. This provides...
Network streams have become ubiquitous in recent years because of many dynamic applications. Such streams may show localized regions of activity and evolution because of anomalous events. This paper will present methods for dynamically determining anomalous hot spots from network streams. These are localized regions of sudden activity or change in the underlying network. We will design a localized...
Light spot counting in intracellular images is important for investigating the cause diseases. However, light spots are manually counted by human observers now. This paper proposes an automatic light spot counting method by computer. To count light spots, we use partial least squares regression and correlation between 2 different types of features using higher-order local autocorrelation. The proposed...
Depth maps provided by Microsoft Kinect often contain large dark holes around depth boundaries and occasional missing pixels in non-occluded regions, as well as noise, which prevent their further usage in real-world applications. In this paper, we present a graph Laplacian based framework to restore missing pixels based on the strong correlation between color image and depth map. To preserve sharp...
This paper discusses the method to automatic mass segmentation and analysis of mammogram for classification of benign or malignant tumor. The identification process is started with image enhancement through cropping to remove artifacts, then followed by increasing the contrast through Contrast Limited Adaptive Histogram Equalization (CLAHE). The selection of mass candidate is carried out through 2...
There are applications for the measurement of body asymmetry as some studies have shown a correlation between asymmetry and fitness for some species. In our study of the endangered Pygmy Bluetongue Lizard, the asymmetry of its head is being investigated to see whether this has a correlation with its health and chance of survival in the wild. As there are restrictions on handling the endangered lizards,...
The research and development of novel fluids for high-efficient absorption heat pump applications require a detailed analysis of microscopic liquid flows. For this purpose, a Defocusing Micro Particle Tracking Velocimetry approach has been successfully implemented using an existing PIV-setup. Due to the lack of commercial software for our application, an image processing software was developed in...
There is a common belief that much of the licensed bands lies idle at any given time and location in wireless communications. In the case of high spectrum utilization, it is very vital to find out those spare bands for providing a better chance of opportunistic access in spectrum scarcity environment. In this paper, a novel algorithm based on gradient operators is proposed, which will be used to preprocess...
A massive digital acquisition of huge sets of deteriorating historical documents is mandatory due to their value and delicacy. The study and the browsing of such digital libraries is becoming crucial for scholars in the Cultural Heritage field, but it requires automatic tools for analyzing and indexing those dataset items. We present here a layout analysis method to perform automatic text height estimation,...
Geometrical and radiometrical corrections are important for scene matching applications. We suppose the applications that there are no geometrical errors based on using 3D-Inertial sensors for geometrical corrections. In these cases, Normalized Cross-Correlation (NCC) is commonly used method for scene matching. The problem of matching a pattern image (mask) to an image in these cases needs to correction...
This paper presents a new approach to authenticate individuals using hand vein point cloud matching with the help of a hardware system. The 3D point clouds of hand veins and knuckle shape were obtained by a binocular stereoscopic vision device. Edges of the hand veins and knuckle shape are used as key-points instead of other feature descriptors because they are better representing the spatial structure...
The Dead Sea Scrolls were discovered in the Qumran area and elsewhere in the Judean desert beginning in 1947 and were photographed in infrared in the 1950s. Recently, the Israel Antiquities Authority embarked on an ambitious project to digitize all the fragments using multi-spectral cameras. We describe a method that utilizes information from both of these image sets: the highly detailed multispectral...
In this paper, we propose an efficient scene text localization method using gradient local correlation, which can characterize the density of pair wise edges and stroke width consistency to get a text confidence map. Gradient local correlation is insensitive to the gradient direction and robust to noise, small character size and shadow. Based on the text confidence map, the regions with high confidence...
A new edge detection algorithm based on grey system theory combined with directed graph is proposed to improve the defects in traditional Canny operator profiled fiber contour extraction, such as the discontinuous edge and the false edge. Firstly, the strong edge as well as binary image is obtained respectively by grey prediction and Nib lack algorithm, and then the connected graph is emerged by edge...
In many large-scale real-time monitoring applications, such as water quality monitoring of large water distribution networks, massive streams flow out of multiple concurrent sensors continuously. Online detection of abnormal event, especially of those spreading in the area, is vital to such networks, as the event will influence a large number of nodes once breaking out. In this paper, we first define...
Image registration technique is useful for variety of applications ranging from surveillance to image mosaicing where task is to match two or more pictures taken, for example, at different times, from different sensors, or from different viewpoints. This paper is an attempt to make a survey of image registration techniques and provides overall source of recent as well as classic research. Scope of...
An approach to the image superimposition problem solving on basis of the contour analysis methods is discussed; a number of contour analysis algorithms are suggested; the results of the developed algorithms implementation are shown by example of aerial photograph pair processing
In this paper a new measurement method is developed to measure the length and width of the cracks in concrete construction. The new method is based on the optical measurement and image processing techniques. Firstly original images are preprocessed for calculation. Then calibration of pixel on the basis of the theory of correlation of digital speckle is to get the real size of one pixel. The length...
In a typical process industry, there are several critical dial gauges wherein the readings are to be monitored on a periodic basis. Most of these dial gauges are still analog in nature and currently these are being monitored manually. The manual capture of readings is a tedious task and is also prone to error. This paper outlines an algorithm that can automatically identify the dial gauge readings...
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