feature-based image representation
COMPARATIVE STUDY OF SECTOR BASED APPROACHES FOR SEARCHING IMAGES BASED ON SHAPE
... shape representation in detail and provided with a set of criteria for evaluation of ...space(CSS) image to represent leaf shape for Chrysanthemum variety ...features based on centroid distance curve ...
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Fingerprint Smear Detection Based on Subband Feature Representation
... additional feature parameters derived from GLCM. 2.3. DCT-Based Feature ...result, image blocks labeled as smears may include normal pixels, while some of the small smear areas around ...
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Feature vector of binary image using Freeman Chain Code (FCC) representation based on structural classifier
... generate feature vector created from extracted FCC to be the input to the classification stage ...numeral image toward a skeleton form before the tracing of the whole numeral skeleton is carried out to ...
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Retrieval and Classification of Images Using Hybrid of HMMD Color Space and Naïve Bayes Classifier
... content-based image retrieval. Color is that the feature that makes the thing identification method terribly straightforward and is stable against direction variations, size of image and ...
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Comparison of Feature-List Cross-Correlation Algorithms with Common Cross-Correlation Algorithms
... whole image and all gray-scale ...simple feature- values are ...algorithm based on the ...another representation form and the pixel representation of the image remains ...the ...
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Single and multiple object tracking using a multi feature joint sparse representation
... color image sequences, we used the hue, saturation, intensity, the gradient-based edge template, and the texture feature obtained by Gabor ...gray image sequences, only the intensity, the edge ...
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Retrieval of images on the Basis of Contents: a Review
... novel representation method for the image features called local texture-based color histogram (LTCH), for ...visual feature descriptor which combines the various features ...any image ...
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Face Image Retrieval Using Pose Specific Set Sparse Feature Representation
... content based face image retrieval is an emerging technology for many ...content based face image retrieval is proposed. Given a query face image, content based face image ...
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Multi Spectral Inter-Correlative Approach for Feature Selection in Pattern Recognition
... the image Data in a feature format revealing the ...the image and are mostly used ...in representation by the hierarchical decomposition of image into resolution ...for image ...
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Feature Based Automatic Multiview Image Registration
... In this section defines various steps involved in TPS transformation and also the result along with it. With TPS Transformation it gives a larger 2D view. The table shows that SIFT algorithm with TPS transformation is ...
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An Effective Feature Vector Representation Of Content Based Image Retrieval With Image Quality Assessment System Using Residual Network
... NN based technique offered ineffective results under the minimum average precision value of ...fusion based model through exhibiting a minimum average precision value of ...used image set by means of ...
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A REVIEW ON FEATURE BASED IMAGE SEARCHING METHODS
... The image searching tools plays a major role in multimedia data mining that can automatically extract semantically meaningful ...is based on the contents of an image so searching images based ...
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Similarity measure for image resizing using SIFT feature
... the image. In most case, it would take about 1-2 s for resizing an image in a single direc- tion from 200 × 133 to 100 × 133, and about 10-40 s from 500 × 332 to 250 × ...
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Vanishing Moments of a Wavelet System and Feature Set in Face Detection Problem for Color Images
... good feature extraction procedure is ...coefficients based on only grayscale images do not account for variation in illumination and also fail to address the problem of representing different ...the ...
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Facial Expression Recognition via Kernel Sparse Representation
... sparse representation based classification (KSRC) ...sparse representation coefficients in a high-dimensional feature space (also called kernel feature space) rather than in the ...
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A Plethora of Methods for Learning English Countability
... into feature clusters, each of which is conditioned on the occurrence of a target noun in a given construc- ...tion. Feature clusters are either one-dimensional (describing a single multivariate ...
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ImageFARMER: Introducing a Data Mining Framework for the Creation of Large scale Content based Image Retrieval Systems
... an image retrieval context, for several domains [27, 28], imageFARMER provides eight dimensionality reduction ...methods based on their popularity in literature, computational expense, the preservation of ...
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Content based Image Retrieval System with Hybrid Feature Set and Recently Retrieved Image Library
... edge image because they are marked as “certain edges” and weak edges are included only if they get connected to strong ...segmented image. Hence the edges of the segmented image are tracked and then ...
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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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A Review On Image Stitching Algorithm Using Feature Based Image Registration
... of image stitching is primarily used in panorama image to view the scene containing more than one image, in a single ...using feature based concept of image registration in ...
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