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A new method of weed recognition based on the invariant moments was proposed in this paper. Firstly, the area of the soybean leaf was located from the complicated image background. Secondly, the features of soybean leaf were obtained by Hu invariant moments, which are the invariability of the translation, the ratio and the rotation, and have lower computational complexity. Finally, the soybean leaf...
The live implantation of micro-electrode arrays allows the observation of populations of neural activity. There is a strong need for unsupervised adaptable neural spike extraction and spike-sorting methods, which would significantly reduce data throughput and allow for implantation and wireless transmission. We present a method for neural spike feature-extraction that involves the generation and use...
We introduce the Partial View Heat Kernel (PVHK) descriptor, for the purpose of 3D object representation and recognition from partial views, assumed to be partial object surfaces under self occlusion. PVHK describes partial views in a geometrically meaningful way, i.e., by establishing a unique relation between the shape of the view and the descriptor. PVHK is also stable with respect to sensor noise...
A signal reflected from a radar target is modified according to the impulse response function of the target. This interaction may be thought of as a linear filter acting on the incident signal. Filters are not exactly invertible, which means that there is no continuous function between the filter output and its input. Likewise, there is no invertible function between the outputs of 2 different filters...
Clustering is a semi-supervised or unsupervised algorithm for classifying a set of data according to underlying characteristics or similarity. There are many different algorithms for different applications. Each algorithm has its advantages to some special fields. As to the data obtained from an automotive LUX-LIDAR, the existing algorithms are failed to cluster them accurately or efficiently. It...
A system for the emulation of signals at the output of radiation detectors is presented. The process of generation is performed in real-time with no support of other external instrumentation. The produced signal are pulse whose shape, amplitude and occurrence time statistic distributions are a-priori defined by the end user.
This paper proposes the improved 3D Bilinear Multidimensional Morphable Models (BMMMs) which can be used in face recognition, etc. In each level of the multidimensional model, we introduce the bilinear programming model for the model matching problem as well as a globally optimal algorithm for bilinear programs. Both tight convex relaxations of the objective function and a convergent branching strategy...
Image shape feature extraction by locating the exact shape boundaries has been applied in numerous research areas such as object tracking, content based image and video retrieval, robotics and biomedical imaging. Deformable active contour (snake) methods have been widely used. However, snake methods have limitations in requirement of manually initialized contour, slow convergence, random curve movement...
A method for allocation of periodic signal components, whose shape is not predetermined in advance and set in accordance with the specific type of recognized processes is being proposed. Obtainment of periodic components provides multiple confirmation accumulation of periods contents when signals receiving, thereby increasing its noise immunity. The method is presented by mathematical procedures for...
An integrated approach for fetal electrocardiogram (ECG) extraction based on the joint application of wavelet transform (WT) and independent component analysis (ICA) is proposed. This research is aimed at development of computer based electrocardiography systems of high resolution, which require the advanced methods for early noninvasive diagnostics of fetal status. The results of this study demonstrate...
We propose a new model for the reconstruction of biological structures using Multiple-Angle Total Internal Reflection Fluorescence Microscopy (MA-TIRFM). This recent microscopy technique allows the visualization of sub-cellular structures around the plasma membrane which is of fundamental importance in the comprehension of exchanges mechanisms of the cell. We present a 3D reconstruction method based...
This paper presents a robust method for license plate localization (LPL). Basically, the performance of LPL directly affects the accuracy of License Plate Recognition system. Although many studies had been conducted on LPL systems, many of them only discuss on license plate (LP) from countries that have restricted and distinguished LP types in terms of shapes and fonts. In this paper, a novel LPL...
Light sheet microscopy allows rapid optical sectioning of whole chicken embryos during early development, visualizing cells through transgenic expression of a fluorescent cell membrane label. Low signal-to-noise ratios and large variability in intensity make segmentation of these images difficult, often resulting in discontinuous cell edges. We propose a multi-scale non-local means with shape prior...
We propose a method for robustly detecting and extracting repeated signal components within a source signal. The method is based on the recently introduced shift autocorrelation (shift-ACF) which outperforms classical ACF in signal detection if a signal component is repeated more than once. In this paper, we extend shift-ACF to analyze the spectral structure of repeating signal components by using...
Image shape feature extraction by locating the exact shape boundaries has been applied in numerous research areas such as object tracking, content based image and video retrieval, robotics and biomedical imaging. Deformable active contour (snake) methods have been widely used. However, snake methods have limitations in requirement of manually initialized contour, slow convergence, random curve movement...
In this paper, we propose a noise removal approach that significantly improves the performance of sophisticated shape matching techniques. Existing shape matching techniques focus on complex algorithms without giving much consideration to the noise removing preprocessing techniques. These preprocessing techniques can reasonably improve the accuracy where the shapes are affected by cracks. We present...
Data Mining is all about data analysis techniques. It is useful for extracting hidden and interesting patterns from large datasets. Clustering techniques are important when it comes to extracting knowledge from large amount of spatial data collected from various applications including GIS, satellite images, X-ray crystallography, remote sensing and environmental assessment and planning etc. To extract...
Today handwritten character recognition is one of the challenging computational processes. To the best of our knowledge, little work has been done in the area of tamil handwritten character recognition and they experimented with their own database. The main objective of this project is to get better the recognition ratewhile compared with the previous approaches for offline tamil handwritten character...
Recently malfunctions of telecommunication installations caused by switching noises of electric equipment or devices have been increasing. The switching noises usually have low frequencies between 2 kHz and 150 kHz. This paper shows some electric interference examples of telecommunication system cause by ac mains noises in frequency range from 2 kHz to 150 kHz. This paper also shows a necessity of...
In the paper a novel approach to the problem of eye blink detection in video sequences is proposed. The introduced method is utilizing the technique of Local Binary Patterns (LBP), which enables to build a descriptor capturing the features of the current eye state. In the initial step, the histogram of LBP describing the open eye is constructed and afterwards it serves as a template, which is compared...
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