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For the purpose of obtaining high-resolution staring image of ground targets by high-altitude imaging platforms, this paper proposes a super-resolution imaging approach based on random radiation radar array by combining random signal radiation and correlated imaging. Firstly, this super-resolution imaging principles are analyzed, and the definition of temporalspatial stochastic characteristics of...
Theory of Language and Compilation (TLC) is a generative mechanism that can recognize all the words for a given language. Thus, the aim of this paper is to exploit this theory on image processing domain and particularly on image segmentation field. We achieve to define an image as a set of letters based on image vocabulary and use grammar formalism for describing an object. This lasted one is assimilated...
Tissue mimicking phantoms play a crucial role in the development of Acoustic Radiation Force Impulse Imaging. This paper deals with the preparation and study of agar based tissue mimicking phantoms. Acoustic and elastic properties are studied for various concentration of agar samples (1.7%–10% by weight). Acoustic properties are measured using pulse echo transmit receive principle. Young's modulus...
One of the first accounts of retinal observation in vivo was perhaps Jean Mery's now famous report to the French Royal Academy of Sciences in 1684. The French anatomist described how immersing a cat underwater allowed him to observe the retina in more details [1]. Nowadays a large range of retinal imaging instruments exists (e.g. flood imaging, optical scanning laser ophthalmoscopy, optical coherence...
The applications of electric capacitance tomography require a custom-designed sensor with individually calculated sensitivity matrix. The sensor can be modeled using an electric field simulator. A highly advanced simulator QuickWave-3D was applied to generate a sensitivity matrix for a designed sensor. The calculation results are presented and compared with the results obtained using custom FEM software...
The paper reports on the potential of using a type of artificial neural network, the self-organising map, for processing tomographic data from pipe separators to estimate interface levels. This is motivated by a desire to estimate process parameters without recourse to image reconstruction. Results show direct quantitative estimation of volume fraction of two-component flow mixtures containing oil...
Robust solutions are recently needed to handle the unusual modification of extensively distributed medical information images. If a medical information image is modified, it may cause to have wrong diagnosis that may arouse a serious problem. Moreover, medical images of digital form are easy to alter for illegal purposes. For instance, by wiping off or adding small information intentionally, it is...
In this paper we address the feature selection problem for X-SAR images and further the segmentation of specific chosen classes. After defining a suitable feature space for X-SAR images we select the most significant ones via a supervised machine learning approach: the 1-norm SVM. The selected features will be used for segmentation purposes, in order to segment water areas from the background. We...
This paper presents a free space visible light communication (VLC) system using an image sensor as a receiver to acquire position related timely information. Since the atmospheric turbulence affects the communication quality, the analysis of atmospheric turbulence is very important for designing a practical communication system. In this paper, the atmospheric turbulence channel is analyzed. The method...
To improve automotive active safety and guarantee the safety of pedestrians at night time, a fast pedestrian detection method based on monocular far-infrared camera for driver assistance systems is proposed. According to the distribution of gray-level intensity of pedestrian samples, an adaptive local dual threshold segmentation algorithm is executed first to extract candidate regions. The presented...
The shape of a burner flame is an important characteristic closely linked to the burner configuration, fuel type, and other operational parameters of a combustion process. This paper presents an algorithm to extract the 3-D medial axis of a burner flame and use it as a descriptor for the flame shape characterization. The algorithm is based on the 2-D medial axes of two flame images captured from two...
This paper presents methods to continue development of a completely autonomous robotic system employing ground penetrating radar imaging of the glacier sub-surface. We use well established machine learning algorithms and appropriate un-biased processing, particularly those which are also suitable for real-time image analysis and detection. We tested and evaluated three processing schemes in conjunction...
In electrical resistance tomography (ERT) sensors, small pin electrodes are commonly used. It is well known that the pin electrodes cause severe field distortions or 3D effect, and the sensing region of such an ERT sensor is not constrained to the pin electrode plane, but spreads to a large volume. This is also true for electrical capacitance tomography (ECT) sensors, even though it is less severe...
Blind image deblurring is limited by the unavailability or in many cases little information about the PSF. If the PSF is estimated, then deblurring simplifies to just deconvolving the blurred image with the PSF using any conventional deblurring filter. We have recently proposed a blind deblurring scheme using kurtosis measures. The scheme is able to deblur degraded images of unknown types such as...
In Advanced Audio Video coding Standard (AVS), the utilization of variable block size ranging from 16×16 to 8×8 in inter frame encoding improves the coding efficiency significantly compared with a fixed MB partition. Rate distortion optimization (RDO) is the best known mode decision method, but the corresponding extremely high computational complexity limits its application. This paper proposes an...
The omega-K algorithm has been considered unable to be combined with high-precision motion compensation (MoCo). An extended omega-K (EOK) algorithm was proposed in which the two-step MoCo could be integrated. However, the second-order MoCo is inaccurate due to the wavelength-dependent scaling of the azimuth signal after the modified Stolt mapping. Although a third-step MoCo was introduced to make...
Electrical Capacitance Tomography (ECT) is a method to determine the material distribution within the interior of a closed object by measuring the capacitance values across externally mounted electrodes. Traditionally, an AC excitation pulse is applied to a pair of electrodes that form a capacitor during each measurement step, in order to determine the capacitance from the output current measured...
This paper describes an electrical capacitance tomography (ECT) system based on an impedance analyser (HP4192A), which has high resolution, high accuracy and good reliability. A multi-channel multiplexer unit with low coupling capacitance is used for automated data acquisition. The hardware system, including the impedance analyser and the multiplexer unit is controlled by a MatLab Simulink Graphical...
The real-time hardware system called UFO1 intended for high quality registering and fusion of infrared (IR) and visible (VIS) images is presented in this paper. System UFO is principally suited for mobile applications. Of course, it can be also used on fixed platforms as well. Therefore, much effort has been spent to ensure appropriate low power consumption and robustness against harsh environments...
The positioning skill of the radiological technologist is essential for obtaining accurate diagnostic information of an organ and for reducing X-ray exposure in radiography. We previously reported on the development of a computed tomography (CT) image-based training tool. A three-dimensional phantom was produced by using computer graphics. Positioning was performed on a PC, and the plane image corresponding...
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