Image classification
Extended bag-of-words formalism for image classification
... typical image classification pipeline is composed of the following three layers: (i) low-level visual feature extraction, (ii) mid-level feature extraction, and (iii) super- vised ...the image ...
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Bag of Features Based Remote Sensing Image Classification Using RANSAC And SVM
... sensing image is ...every image, fed into the visual dictionary to map them with one (Bag-of-feature) vector, which is finally fed into the multi-class SVM training classifier model to recognize the ...
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Novel Image Classification technique using Particle Filter Framework
... A multikernel sparse representation–based image classification implementation was implemented, and the results were tabulated. The results showed that the accuracy of the MKSR-based implementation is on ...
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Image Classification through integrated K- Means Algorithm
... Image Classification has a significant role in the field of medical diagnosis as well as mining analysis and is even used for cancer diagnosis in the recent ...for image classification and ...
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TARGETED SATELLITE IMAGE CLASSIFICATION FOR URBAN MAP UPDATING USING GEOSPATIAL INFORMATION SYSTEM PLATFORM
... The first step is upgrading GIS platform to provide it with the ability to produce training data for next phase of image classification. This upgrade is only to make sure that each feature has some required ...
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Vocabulary Length Experiments for Binary Image Classification Using BOV Approach
... to image classification is popular among computer vision ...for image classification is task ...the image. The region of image over which a visual word is constrained forms the ...
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Local coding based matching kernel method for image classification.
... on image classification tasks using standard data sets reveals the superiority of the proposed LCMK ...for image classification on the more challenging PASCAL VOC 2007 dataset, there appears ...
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Image Classification and Optimized Image Reproduction
... Are there other solutions which will make it easier to give priority to interesting areas than is usually done by tonal compression or optimal separation (GCR - Gray component Replacement, UCR - Under Color Removal)? The ...
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Feature Extraction for Image Classification and Analysis with Ant Colony Optimization Using Fuzzy Logic Approach
... in image-understanding applications such as detection of edges, feature extraction, classification, and ...input image for different threshold calculated from the formulas ...
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BENCHMARK OF MACHINE LEARNING METHODS FOR CLASSIFICATION OF A SENTINEL-2 IMAGE
... Thanks to space agencies, e.g. ESA and USGS, a large bulk of free digital images of the Earth surface is readily available nowadays for download by anyone with internet access. As a part of the European Copernicus ...
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Principal component analysis for fast and automated thermographic inspection of internal structures in sandwich parts
... As described, thermography is a very well investigated NDT (nondestructive testing) method with many different techni- cal variants for the active testing approach (Maldague, 2001; Ibarra-Castanedo et al., 2009). All ...
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A Novel Texture Classification Procedure by using Association Rules
... In this section, the methodology of using association rules for texture image classification is presented. Texture images appear similar and there exist small variations in the structure and intensity ...
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3D Convolutional Neural Network for Liver Tumor Segmentation
... As discussed above, large datasets were hard to come by. In 2009, ImageNet [8] was presented as a solution to this problem. This project aimed to help the scientific community have a centralized dataset which could be a ...
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PREDICTION OF GLIOMA USING GENETIC OPTIMIZED NEURAL NETWORK
... entire image for noise ...Since image pixels are highly correlated while noise is typically independently and identically distributed, averaging of these pixels results in noise cancellation and yields a ...
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Classification Of Cluster Area Forsatellite Image
... an image representing the scene being observed usually called as Remote Sensing ...Content-based image classification has been an interesting subject of many researchers in recent ...the ...
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Analysis of gated myocardial perfusion SPECT images using computational image registration techniques
... in image registration when the image acquisition parameters are not known [136] and usually include an initial rigid body or affine transformation that provides an initial solution for the ...rigid ...
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Fruit recognition and classification based on SVM method for production prediction of peaches
... The image is pre-processed to clear the background and enhance the ...new classification algorithm based on SVM for apple recognition is introduced to improve recognition accuracy and ...A ...
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NATIONAL LEVEL ASSESSMENT OF MANGROVE FOREST COVER IN PAKISTAN
... Based Image Analysis (OBIA) was performed to develop the satellite image based land cover maps of the study ...the image objects. These extra features associated with image objects have proved ...
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J. Transp. Lit. vol.8 número2
... With the current system of concession roads in Brazil, both concessionaires and regulatory agents have been charged with improving the quality of the pavement on Brazilian highways. This situation requires the search for ...
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FOREST COVER MONITORING IN THE BARA DISTRICT (NEPAL) WITH REMOTE SENSING AND GEOGRAPHIC INFORMATION SYSTEMS
... varied and depend on the data used and also on the type of landscape under analysis. These approaches include incorporation of geographic data, census data, texture features and structure or contextual information into ...
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