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Performance of image mosaicing depends on overlap between the images to be joined and the percentage of noise present. An algorithm is used for joining images based on image matching by comparing the descriptors for different images. This paper is concerned with the analysis of effect of variations in noise and degree of relative overlap on the algorithm and obtaining their limits. Speeded Up Robust...
Clustering is applied to many applications and the decision with regards to which algorithm to use is dependent on the nature of the task to be carried out. Before choosing which clustering algorithm to use one needs to be aware of the nature of the task to be done and then determine the algorithm accordingly, based on the capabilities and performance metrics of that algorithm. This paper makes an...
This paper presents a FPGA (Field Programmable Gate Array)-based remotely sensed imagery denoising method, named FPGA-based median filtering. The proposed method is capable of processing large volume data since it takes full advantages of FPGA hardware and abundant logic units. This paper first overviews the traditional median filtering algorithm, and then highlights the FPGA-based filtering, including...
Contour curves of shapes are important features for image analysis and understanding. A contour curve might be affected by various kinds of noise. In this paper a rapid curve denoising algorithm is proposed, which is equivalent to the existing Gaussian smoothing according to a convergence property of noise. A key problem of the rapid algorithm is to select a proper smoothing radius. We first sample...
In this paper, an intellectual technology for transformer noise reduction using radial basis wavelet neural network is investigated. The noise reduction technique proposed in this paper enhances noise reduction capability and improves the adaptability of the noise reduction system. The data required for the proposed method is transformer noise obtained during steady state operation. The data is then...
Recent image steganographic approaches considers perceptual characteristics of the human visual system (HVS), and often use edge detection to express them. In practice, there exist perceptually salient regions for HVS in an image according to visual attention. Moreover, HVS has different sensitivities to luminance contrast and structure of the image, i.e. Pattern masking. To enhance the security of...
This paper mainly discusses some quantitative parameters of SAR image quality (including the definition of the parameters, physical meaning, mathematical calculation method), Then based on the description of radar image above, Choosing the commercial SAR image, Such as Terra SAR to analysis the parameters, giving the final result of value of parameters.
The information extraction and recognition of speech emotional information under the noise environment has been the research hotspot and difficulty, which limits the application of speech emotion recognition technology. An improved spectral subtraction algorithm is presented based on the analysis on the basic principle of spectral subtraction. According to the distribution of noise, the improved algorithm...
Baseline in signals is a relatively complicated problem in analysis of signals obtained in various analytical techniques such as chromatography and spectroscopy. In this article there are presented results of tests on four algorithms for a baseline estimation in chromatographic signals. Two of them are based on a polynomial fitting in a region of detected peaks. Another two algorithms, i.e. assymetric...
The Euler number of a binary image is a very important topological property for image processing pattern recognition, and computer vision. This paper proposes an efficient run-based algorithm for Euler number computing. For calculating 8-neighbor runs, unlike the conventional run-based algorithm, which needs to record start points and end points of all runs, our algorithm only needs to record end...
The main objective of this study is to introduce a simple, low-complexity and effective algorithm to evaluate the quality of the real-time electro-cardiosignal, especially the electro-cardiosignal coming from dry electrode, or the signal collecting during periods of muscular activity or excessive motion. In the proposed method, the real-time signal is pre-processed by five main steps:(1) down sampling...
Since the equipment of medical imaging is influenced by the external and internal facts, the images have low contrast. The base function of wavelet and super-wavelet needs to be predefined, so that the local data characteristics are not adaptively analyzed. Meanwhile, the more noise will be induced in enhancement process which produces a distortion in details. Bi-dimensional empirical mode decomposition...
Image scrambling is an important approach to cover image information. This paper presents a novel image scrambling algorithm based on two-dimensional discrete Henon map. In our algorithm, the parameters of Henon map are regarded as the key of scrambling, and image pixels are scrambled by iteration of the Henon map. The numerical experimental results show that the proposed algorithm has quite prominent...
Classical edge detection algorithm cannot completely remove blur edge and lost sharp edge when it is used to process the defects of the timber. In order to resolve this problem, we propose a defect detection algorithm based on multi-threshold and gradient optimization. Firstly, through k-means algorithm (k=4), the mean threshold of module is required. Secondly, the image is segmented by 4×4 module,...
This paper proposes a new graph-theory-based Euler number computing algorithm. The proposed algorithm only needs to count two bit-quad patterns in the given image, while conventional bit-quad-based algorithms need to count ten. Moreover, by use of the information obtained during processing previous pixels, the average number of pixel checked for processing a bit-quad in the proposed algorithm will...
Line tracking is important for numerous applications of the machine vision, including control of line following robots. Local lacunarity for binary images allows the estimation of line by the detection of spatial differences using statistical properties of textures. Additional tracking algorithm improves the line detection by application of motion model. Such approach allows the extended width line...
Active Noise Control (ANC) has been gaining an increasing interest in recent years. Much attention has been devoted to design of efficient control algorithms, enabling noise reduction at a high level, with computational load acceptable by currently available electronics. Among different approaches to noise control, employment of vibrating plates as secondary sources or as active barriers is particularly...
Sensor placement is of pivotal importance in closed-loop control as measurements are key to design the control laws. In this article, a novel machine learning-based sensor placement algorithm is proposed in order to recover a high-dimensional field from a limited amount of local measurements with a linear estimator. Unlike many other methods, our algorithm does not rely on a reduced order model and...
We present a boosting method for classification problems with optimal AUC value as a performance measure. The proposed technique first minimizes the empirical pairwise classification error. Once the pairwise classification error is reduced to a coordinatewise local minimum, then it switches to maximize the average pairwise margin of a small set of bottom sample pairs. Experimental results on real-world...
Hydro and Agro Informatics Institute (HAII) has installed more than 800 telemetry stations across Thailand to collect water level data for operation tasks and researches, e.g., flooding prevention system. To have an accurate result, it is crucial to control the quality of data by detecting and filtering out anomalies. In our previous work, a data quality management system to capture various types...
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