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Image processing based systems take important place in systems used to detect fires in open spaces. Vision-based systems can detect fires in open spaces from distances and detect the fire at an early stage. In this study, a fire/flame detection method based on the color analysis of the fire image is presented. The proposed method consists of three steps. First, the image in RGB space is converted...
As an effective background subtraction algorithm, the basic codebook model algorithm has many disadvantages. Such as too many parameters, background was mismatched as foreground, the slow speed of the background model updating, affected by noises. An improved codebook model algorithm is proposed in this article. The mean and variance cubic (MVC) of the pixel value in RGB color space was applied to...
Nowadays, probabilistic neural networks have been used to pattern discrimination in non-stationary biological signals with individual characteristics. The main objective of this study was to develop a neural network based on Gaussian mixture model and logarithmic linearization to classify the T-wave ends, which are of the major parts of the ECG signals, For this purpose, a comparison algorithm evaluating...
In this paper we propose a novel image representation method that characterizes an image as a spatiogram--a generalized histogram--of colors quantized by Gaussian Mixture Models (GMMs). First, we quantize the color space using a GMM, which is learned by the Expectation-Maximization (EM) algorithm from the training images. The number of Gaussian components (i.e., the number of quantized color bins)...
In this work, gender detection was carried out using heart sounds of each persons. The proposed method has three stages to make detection gender with heart sound. First, some features are obtained from heart sounds. Second, modelling is made by Gauss Mixture Model (GMM) by using obtained these features and models are trained. Finally, tested person is decided to be he or she with likelihood ratio...
A novel image retrieval method using color-spatial histograms is presented in this paper. The new method contains three phases. First, we quantize the color space by Gaussian mixture model. Second, the color-spatial histograms generated for both the query image and the images in the database based on the quantized color components and the improved spatiogram method. Finally, using color-spatial histogram...
Region of interest (ROI) coding has became a hot topic in the research of JPEG2000. By using the wavelet coefficients which produced in the process of discrete wavelet transform (DWT) in JPEG2000, this letter proposed a new method to get ROI dynamically. Based on scales of wavelet coefficients, this method uses hidden Markov Tree and Gauss mixture model (HMTGMM) to get the ROI. The training set is...
A new approach for detecting video logo-removal forgery is proposed by measuring inconsistencies of blur. Our approach is based on the assumption that if a digital video undergoes logo-removal forgery; the blurriness value of the forged region is expected to be different as compared to the non-tampered parts of the video. Blurriness is estimated by the regularity properties in the wavelet domain which...
In the process of the sonar image analysis, the information of the shadow and echo are very significant. However, most of the segmentation methods are failed to abstract the useful information from the background with strong noises. To overcome this problem, we apply the Markov random field to segment the features of sonar images, which expresses the spatial correlation of the image pixels sufficiently...
Noise is ubiquitous in real life and changes image acquisition and processing characteristics in an uncontrolled manner. Highly sophisticated image processing algorithms developed for clean images often malfunction when they are used for noisy images. For example, hidden Markov Gauss mixture models (HMGMM) have been shown to perform well in image segmentation applications, but they have also proved...
The paper describes a wrapper approach that applies Gauss mixture model into image segmentation, solving the problems of slow segmentation speed, fuzzy contour of the object of interest. By wrapping the feature selection algorithm inside the classifier, i.e, introducing wavelet transform while using EM algorithm to calculate the parameters of GMM image segmentation model, it can get more multi-scale...
We describe an automatic method for classifying skin color, independent of lighting and imaging device characteristics, using consumer digital cameras and a simple color calibration target. After color normalization and face detection is performed, pixels of each face image are clustered in an unsupervised fashion. Pixels likely to be representative of skin color, rather than of distractors such as...
This paper proposed a novel video shot clustering algorithm using spectral method by joint modeling of inter and intra shot. Gauss mixture model (GMM) is used for probabilistic space-time modeling of intra-shot pixels. The spectral clustering method is applied on the GMM parameters. The problem of automatic model selection is currently an open issue for spectral method. Here we propose a novel automatic...
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