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Delaying the analysis launch until the completion of the handwritten word scribing, restricts on-line recognition systems to meet the highly responsiveness demands expected from such applications, and prevents implementing advanced features of input typing such as automatic word completion and real-time automatic spelling. This paper proposes an efficient Arabic handwritten characters recognizer aimed...
In hyperspectral images, there is abundant spectral information for classification. In most cases, spectral information based methods yield good classification results. However, different objects may have similar spectrums due to similar physical property. Spectral information based classification methods can't give accurate results for the similar physical property among objects belonging to the...
A new method based on steepest descent and topology evolution is presented to identify an unknown scatterer shape and physical property. Level set method is modified to not only evolve an arbitrary penetrable object shape but also retrieve its relative dielectric constant. Computation time is significantly reduced and accurate reconstruction is obtained. The method accuracy is illustrated by two examples.
We introduce a new method for expanding equivalent surface current densities over open surfaces. The new method is based on the equivalence principle, which is theoretically used with closed surfaces. Utilizing low-order basis functions to compute the expansion coefficients of equivalent surface currents and then weighting these coefficients with an appropriate window function compensates for computational...
A new technique for computing the location of each antenna element in a conformal array using general Bézier curves is presented here. More specifically, two cubic polynomial Bézier curves are used to compute the location of each antenna element in a conformal 1×4 phased-array antenna on a wedge- and cylindrical-shaped surface for various bend-angles and radius of curvature values, respectively. The...
We propose a new technique to infer the dimensions of a real object using an image via the automatic calibration of a camera. This method utilises different geometric shapes to make comparisons for calibration and thus decrease the number of errors. Various square, rectangular and triangular shapes are used as the origin by which to calibrate the camera. Since the position from one of the geometrical...
Deep learning has emerged as a powerful technique to extract high-level features from low-level information, which shows that hierarchical representation can be easily achieved. However, applying deep learning into 3D shape is still a challenge. In this paper, we propose a novel high-level feature learning method for 3D shape retrieval based on deep learning. In this framework, the low-level 3D shape...
How to detect pedestrian faster and more accurately based on video is the key to pedestrian detection. A method of pedestrian detection based on a cascade of feature classifiers is proposed in this paper. First, according to the different features between pedestrians and non-pedestrians, several special features are selected. Second, according to AdaBoost classifier training theory, several weak classifiers...
The pixel-based classification of remotely sensed images always produces a large amount of “speckled” or “salt and pepper” noises. Both post-classification smoothing and object-based classification techniques have been proposed to tackle this problem. However, most of them are not adequate to deal with the noises in object-based classification of very high resolution (VHR) remote sensing imagery,...
Error analysis of free-form surfaces is a requirement to assure quality and to reduce manufacturing costs and rework. This paper proposes a new approach and algorithms for eliminate the accumulative error of multi-view registration. The main influence factor of sequential sub-surface registration error is analyzed detailedly. To eliminate accumulated errors of registration, a method based on an overall...
In this paper, we propose a fast and accurate method to locate and segment ONH boundary. This method integrates both the gradient and the local intensity cues to locate the ONH. It formulates the ONH segmentation problem into tracing an optimal path under graph theory framework. The optimal graph search technic considers both local and global information and makes our algorithm work well under poor...
The results of comparative calculations of radar cross section of polydisperse medium with ellipsoidal drops and Pruppacher-Pitter drops are described in paper. The data obtained for dipole scattering, the spherical drop approximation of equivalent volume and rigorous calculation on the base of method of moments for both kinds of drops.
Based on the object-oriented method, this paper presents a new regional shape index (RSI). RSI is a regional feature which measures the gray similarity distance within region in every direction. Firstly, the original image is segmented to obtain small regions. Then the center in each region is calculated, and the distance is calculated from the center of each region within image to boundary of each...
This paper presents a comparison between different image registration approaches to register infrared (IR) and hematoxylin and eosin (H&E) stained images. This registration will be needed as the first step of a new process based on mid-IR images, that will help clinicians in cancer early diagnosis, providing them with more information about the tissue under examination. The aim of the registration...
This paper presents a real-time and automatic online vision-based surgical instruments recognition system, which can be used for surgical instruments monitoring during surgery or robotic applications. The main processes of this system consist of feature extraction and classification. In feature extraction, the image of surgical instruments placed on surgical drape are segmented by using color information...
One form of molecular communications for short range transmission between nanomachines is Calcium Signaling. This form of signaling is commonly found in cellular tissues, which consist of tightly packed cells, whereby Ca2+ ions propagate and diffuse between the cells. However, the natural flexible structure of cells usually leads to them dynamically changing shapes under certain strains and forces...
We propose a method for person segmentation in self-portrait photographs. We use random forests to learn the joint distribution of shape, texture and color for the hair, skin, clothes and background classes, respectively. Decisions in each tree, based on the distance of the pixel feature to pre-trained exemplars for each feature channel, are selected so that they effectively distinguish each category...
The development of automated measurement systems for monitoring basic functional geometries arises as a response to the increasing automation of manufacture. The paper describes the optimization of the grid increment to be used in the algorithm established by the authors to automatically recognize 3D geometries. Differential geometry was used to determine Gaussian and mean local curvatures of surfaces...
Use of digital image analysis for the identification of seeds has not been recognized as a validated method. Image analysis for seed identification has been previously studied, and good recognition rates have been achieved. However, the data sets used in these experiments either contain very few groups of non-verified specimens or little representation of intra-species variations. This study considered...
Lag time is a fundamental property on hydrology. However, lag time query may take large amount of space and time. In this paper, we explore clipping, a simple discretization technique, to resolve space and time complexity and enhance the accuracy of lag time query on clustering. The result shows that the hydrologic data are satisfied with clipping and hence they could be classified using clipping...
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