spatial features
Content Based Image Retrieval Using Spatial Features
... The problems with traditional methods of image indexing had led to the rise in the interest of image retrieving techniques on the basis of spatial features such as color, texture and shape – a technology ...
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Comparing spatial features of urban housing markets:
... between spatial sectors, including macro-location ...purely spatial dimensions are isolated and the complexity is reduced into a ‘Burgessian’ urban-location model, the dynamics can be illustrated with the ...
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Analysis of Spatial Features in CBIR System
... the spatial features and collects them into a frame to view all the spatial features and the scope of implementing these features into the image ...
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Facial Expression Recognition by Statistical, Spatial Features and using Decision Tree
... compute spatial features of the face which provide ...statistical features of the face which provide 79.4%. In last we merge both features in order to increase accuracy and classification rate ...
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Skin Lesion Classification Using Hybrid Spatial Features and Radial Basis network
... hybrid spatial features representation and Radial basis type network classifier to classify melanoma skin ...color features from HSV space and discriminate texture features such as gradient, ...
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The capacity and resolution of spatial working memory and its role in the storage of non spatial features
... non-spatial features of visual objects, but also when only the locations of these objects have to be retained in ...and spatial locations may both be maintained by allocating spatial attention ...
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Recognizing Surgically Altered Face Images Using Granulation Computation Approach and Hybrid Spatial Features
... The project presents the surgically altered robust human face recognition based on granular computation approach and hybrid spatial features extraction. Here granular computing is done by the DOG method ...
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The Sense of Shape: Discovering Spatial Features of Data with Applied Topology.
... chapter features the culmi- nation of Lakoff and Nunez’s version of the story of the “discretization program that shaped modern mathematics,” an extended treatment of how metaphor “has permit- ted a ...
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Adaptive fusion of color and spatial features for noise-robust retrieval of colored logo and trademark images
... For example, when we used a HG phase function with g = 0.9 to create synthetic data and g = 0.8 in the inversion algorithm to invert the IOPs, the inverted absorption and backscattering [r] ...
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Unsupervised Classification of Fully Polarimetric SAR Image Based on Polarimetric Features and Spatial Features
... Supposing that some area of image has N gray level values, the gray level co- occurrence matrix corresponding with the area is N N stairs matrix, in which, the element in the place (i, j) (1,…,i, …N; 1,…,j, …,N;) is ...
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Spatial and visual data fusion for capturing, retrieval, and modeling of as-built building geometry and features
... Point cloud based methods and color based methods re- lied on one type of sensing data for capturing, retrieving, and modeling as-built building conditions. As a result, they have inherent limitations associated with the ...
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Spatial and spectral features utilization on a hyperspectral imaging system for rice seed varietal purity inspection
... both spatial and spectral information about the seed ...the spatial features measure physical properties of rice seed, the mean spectrum of all pixels in a seed sample can be used to infer chemical ...
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Spatial and Temporal Features of Regional Variations in Mean Sea Level around Taiwan
... local features of sea level around Taiwan. To evaluate the spatial features of sea levels in Taiwan- ese waters, we used altimeter data from the merged geo- physical data (MGDRB) ...The ...
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Spatial pooling of heterogeneous features for image classification using GPP
... of spatial features of images in both x and y ...Bag-of- Features (BoF) is a widespread model that targets to epitomize images as a loose collection of features devoid of the use of some ...
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Wrist blood flow signal based computerized pulse diagnosis using spatial and spectrum features
... Current computerized pulse diagnosis is mainly based on pressure and photoelectric signal. Considering the richness and complication of pulse diagnosis infor- mation, it is valuable to explore the feasibility of novel ...
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Combined Features based Spatial Composite Kernel Formation for Hyperspectral Image Classification
... Spectral Features is investigated. A State of Art Spatial Feature Extraction Algorithm for making Novel Composite Kernels is proposed for classifying a heterogeneous classes present in Hyperspectral Images ...
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Segmentation of clock drawings based on spatial and temporal features
... In this paper, the advantage of using dynamic CDT data acquired by a graphics tablet is used to improve the segmentation process and a set of temporal and spatial features extracted for this purpose from ...
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Orthogonal Polynomial Model Based Image Retrieval using Multiresolution Spatial-Temporal Features
... The features such as color autocorrelogram and texture features are extracted from each subbands, based on these features, the feature vector is constructed which is discussed in section ...
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Epidemiological features and risk factors associated with the spatial and temporal distribution of human brucellosis in China
... the spatial varia- tions and the temporal trends of the ...epidemiological features of human brucellosis in Table 2 Correlation coefficient between the ...
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An approach for identifying and analysing reference features and spatial relations used in mountain emergency calls
... of spatial relations with reference geographic ...reference features and spatial relations are used to locate oneself in a mountain area, with the ultimate aim of designing tools to help the ...
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