image feature-based methods
A Survey: Methods of Feature Based Image Registration
... A genetic algorithm (GA) is a search technique used in computing to find exact or approximate solutions to optimization and search problems. Genetic algorithms are categorized as global search heuristics. Genetic ...
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Review of Feature Selection Methods in Medical Image Processing
... information, feature selection implies less data transmission and efficient data ...[4]. Feature selection is one of the key topics in machine learning and other related fields it can remove the irrelevant ...
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Comparison of Image Transform-Based Features for Visual Speech Recognition in Clean and Corrupted Videos
... It was hoped that the FDCT would be able to capture important and useful information about the speakers lip contour which would not be captured by the more com- monly used DCT and DWT transforms. However, the recog- ...
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Vision Navigation Based on the Fusion of Feature based Methods and Direct Methods
... Feature-based methods are based on the minimization of re-projection error to obtain the optimal camera’s poses ...the image coordinates of y j in the camera T i is denoted by z i j , ...
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NEW APPROACH IN COLOR DISTORTION REDUCTION IN UNDERWATER CORAL REEF COLOR IMAGE ENHANCEMENT BASED ON ESTIMATION ABSORPTION USING EXPONENTIAL EQUATION
... methodology based on covariance matrix of the image feature has been developed in the recent past for vision tracking [2,3,4] ,Appearance based modeling methods using covariance method ...
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Retrieval of images on the Basis of Contents: a Review
... the image distance between both the images (query image and database image) based on color feature of an ...level feature which is famous for CBIR. Mostly color feature is ...
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VISUAL RE-RANKING FOR IMAGE RETRIEVAL SYSTEM
... The methods available now for image search re-ranking suffer from the unreliability of the assumptions under which the initial text-based images search ...images based on the text surrounding ...
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SVO: Fast Semi-Direct Monocular Visual Odometry
... a) Feature-Based Methods: The standard approach is to extract a sparse set of salient image features ...each image; match them in successive frames using invariant feature ...
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Spectral-Spatial Feature Transformations With Controlling Contextual Information Through Smoothing Filtering and Morphological Analysis
... hyperspectral image is reduced by several state-of-the-art spectral feature extraction methods, ...Coding Based Feature Extraction (BCFE), Clustering Based Feature ...
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Retrieval and Classification of Images Using Hybrid of HMMD Color Space and Naïve Bayes Classifier
... of image features, textures and color has become one of the most researched areas in the field of computer ...images based on content relies on how well the features are being ...in feature ...
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A Hybrid Intelligent Approach for Image Segmentation and Feature Extraction Using Fuzzy Clustering, Lattice Boltzmann and GLDM Techniques
... approach based on a two-dimensional noise reduction method in artificial ...approach based on the GLDM method (for feature extraction) and they applied a combination of Multi-Layer Perceptron Neural ...
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Multi-Channel Image Denoising In Local Spectral Component Decomposition G. Shankara Bhaskara Rao
... low image quality and effect of noise in the conventional methods, a method is implemented for local spectral component decomposition on the line feature of local ...linear feature over the ...
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HAND GESTURE RECOGNITION USING NEURAL NETWORK
... are image acquisition, image preprocessing, feature extraction and ...two methods for the image acquisition and preprocessing motion based and skin color ...
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An Evaluation of Feature Selection Methods on Multi-Class Imbalance and High Dimensionality Shape-Based Leaf Image Features
... of feature selection methods. According to the results, filter-based feature selection methods almost perform similar given by the three ...all feature selection methods ...
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A Review On Image Stitching Algorithm Using Feature Based Image Registration
... in image stitching is feature detection which is the main part of image stitching ...an image, features of the image are the elements of that particular ...do feature detection ...
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Texture Image Classification Using Visual Perceptual Texture Features and Gabor Wavelet Features
... in image-related ...texture image classification using visual perceptual texture features and Gabor wavelet ...statistics based on Gabor wavelet features are normally used to construct feature ...
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Weighted relevance feedback and keyword based medical image annotation
... wrapper methods suggested by researchers, using optimization method to remove redundant features will improve the efficiency of the ...all feature descriptors, it is very difficult task to identify the ...
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FACE RECOGNITION IN JAVA ENVIRONMENT
... identification based on feature vectors extracted from profile ...uses feature vectors extracted from a frontal view of the ...is based on the information theory concepts in other words on the ...
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Multi-Class Support Vector Machine (MSVM) Enabled Indoor Scene Classification With SIFT Features
... recognition methods require the inclusion of the various methods in the computer vision, image processing and feature recognition for the scene recognition by identifying the category of the ...
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Testing Methods of Component Contents during Rare-earth Extraction Process Based on Image Feature Retrieval
... their feature data accordingly, as shown in graph 1, a certain judgment has to be made for the same color feature image after the retrieval matching, once there is no such possibility, the ...
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