first-order statistical features
An Approach to Fault Diagnosis of Rotating Machinery Using the Second Order Statistical Features of Thermal Images and Simplified Fuzzy ARTMAP
... tion systems of nuclear plants. The result of this study showed that thermogra- phy could assist in detecting the abnormal operation of various components at an early stage of impending failure. Leemans et al. [10] ...
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Glioma Classification of MR Brain Tumor Employing Machine Learning
... the first order and second order statistical features are extracted from the complete imaging feature ...prominent features are selected using the t-test that are provided for ...
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Performance Analysis of Discrete Wavelet Transform Based First-order Statistical Texture Features for Hardwood Species Classification
... texture features produced by the DWT based FOS technique ...the first using conventional texture features and the second using proposed DWT based FOS texture ...
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An Experimental Analysis of Feature Based Blind Steganalysis Techniques
... the first order statistics whereas variance, blockiness and co-occurrence are the second order ...macroscopic features similar to the original cover ...the statistical properties of the ...
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Comparative Analysis of different types of Malaria Diseases using First Order Features
... using first order features were identified, and this can be used to perform statistical classification of different types of malaria ...
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First-order statistical speckle models improve robustness and reproducibility of contrast-enhanced ultrasound perfusion estimates
... perfusion features, such as regional enhancement and morphologic heterogeneity, provided valuable indices for di ff erentiating between malignant and benign breast ...
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Improvement of Liver Segmentation by Combining High Order Statistical Texture Features with Anatomical Structural Features
... The morphological operation starts with dilate and erode on the distribution image to get connected regions. Morphologic operations are described by the shape and size of the structural element used. Considering both the ...
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Combination of first and second order statistical features of bulk grain image for quality grade estimation of green coffee bean
... visual features to identify wheat grain varieties have been done by Pourreza et ...SOS features mostly dominate the analysis specially extracted by using GLCM ...the first and second order ...
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Breast tumor detection and classification in Mammograms: Gabor wavelet vs. statistical features
... of features have been analyzed, Gabor-wavelet features and Statistical ...The first group of the feature extraction is Gabor-wavelet method, which has the ability to yield optimized diverse ...
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Color edges extraction using statistical features and automatic threshold technique: application to the breast cancer cells
... in order to follow-up the disease of a certain patient from the breast cancer processed ...the statistical features and histogram threshold techniques, the resulting segmentation may represent ...
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CLASSIFICATION OF CANCEROUS AND NON-CANCEROUS LUNG CANCER NODULES USING IMAGE PROCESSING TECHNIQUES
... geometrical features which were used to train the feed forward artificial neural networks ...different features and then applied them to a feed forward neural network ...geometrical features and ...
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Enhancement of speech dynamics for voice activity detection using DNN
... spectro-temporal features as the input to a convolutional neural network (CNN) to detect non-speech acoustic ...multiple features, such as pitch, discrete Fourier transform (DFT), MFCCs, linear pre- diction ...
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First Order Reasoning for Higher Order Concurrency
... To illustrate the challenges of reasoning in higher-order concurrent languages let us consider the pairs of higher-order processes shown in Figure 1, where ⊕ is an internal choice operator and app causes ...
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A Novel HMM Based Integrated Technique for Recognizing Clothes Patterns and Colors
... Below block diagram will give us the proposed work in detail. There are two important steps first we have to train the system and further we can check the testing. This system can handle clothes with complex ...
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First Order Reasoning for Higher Order Concurrency
... our first-order LTS for pp-π, and Section 4 defines strong and weak bisimulations and a characterisation of the latter in terms of a propositional Hennessy-Milner ...
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Image Classification in Content-Based Image Retrieval Systems Based on First Order Color Histogram Features
... simple first order image features, as histogram ...Histogram features can be generated from the image histogram very quickly and the comparison of these features is computationally fast ...
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A Method for Correcting Errors in Speech Recognition Using the Statistical Features of Character Co occurrence
... A Method for Correcting Errors in Speech Recognition Using the Statistical Features of Character Co occurrence A Method for Correcting Errors in Speech Recognition Using the Statistical Features of Ch[.] ...
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An Improvement Study for Optical Character Recognition by using Inverse –SVM in Image Processing Technique Dinesh KumarVerma, II Anjali Khatri Assistant Professor (ECE) PDM College of Engineering, Bahadurgarh, Haryana, India
... In this paper, we consider the new method for isolated handwritten characters and numerals recognition using INVERSE-SVM. The Inverse support vector machine support vector machine which is based on statistical ...
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A Smorgasbord of Features for Statistical Machine Translation
... new features for scoring candidate translations. A high-quality statistical translation system is our baseline, and we add new features to the exist- ing set, which are then combined in a log-linear ...
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First order convergence and roots
... It can be shown that the duplicator has a winning strategy for the p-round Ehrenfeucht-Fra¨ıss´e game played on G and H if and only if G and H satisfy the same first order sentences with quantifier depth at ...
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