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Image retrieval using local color features
2005 Digest of Technical Papers. International Conference on Consumer Electronics, 2005. ICCE., 2005In this study, an image indexing and retrieval approach, using local color features and a modified weighted color distortion measure, is proposed. In the proposed approach, each image is segmented into several regions by a watershed segmentation algorithm, and then the mutual relationships between connected color regions are extracted as local color ...
null Tzu-Chien Wu +2 more
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An evaluation of local features on satellite images
2015 38th International Conference on Telecommunications and Signal Processing (TSP), 2015Satellite image matching is an important task when integrating information from different sensors, viewpoints or taken at different times. This paper presents an evaluation of local features on satellite images. Different blob, edge and corner based detectors have been tested against many variables and parameters.
Tahoun, Mohamed +3 more
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3D lung image retrieval using localized features
SPIE Proceedings, 2011The interpretation of high-resolution computed tomography (HRCT) images of the chest showing disorders of the lung tissue associated with interstitial lung diseases (ILDs) is time-consuming and requires experience. Whereas automatic detection and quantification of the lung tissue patterns showed promising results in several studies, its aid for the ...
Depeursinge A. +3 more
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Discriminant local feature analysis of facial images
Proceedings 2003 International Conference on Image Processing (Cat. No.03CH37429), 2004In the traditional DKL algorithm, PCA is performed before LDA to achieve stable numerical computation and good generalization in small-sample-size problems. However, PCA is based on the global information, ignoring the significant local characteristics.
Q. Yang, X. Ding, Z. Chen
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Image authentication using global and local features
2014 International Conference on Green Computing Communication and Electrical Engineering (ICGCCEE), 2014Image authentication is the process of proving image integrity and authenticity. Robust hashing method is developed for detecting image forgery which includes removal, insertion of objects, and abnormal color modification. Global, local and shape features are used in forming the hash.
S. Jothimani, P. Betty
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Range image recognition using invariant local features
2010 IEEE 18th Signal Processing and Communications Applications Conference, 2010Range image recognition gains importance in the recent years due to the developments in acquiring, displaying, and storing such data. In this paper, we present a novel method for matching range surfaces. Our method utilizes local surface properties and represents the geometry of local regions efficiently.
Neslihan Bayramoglu, A. Aydin Alatan
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Stereovision without localized image features
1993Many theories of stereo vision are based on feature matching and the related correspondence problem. In this paper, we show that localized image features such as Laplacian zerocrossings, intensity extrema, or centroids are not necessary for binocular depth perception.
Arndt, P., Mallot, H., Bülthoff, H.
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CT Image Enhancement for Feature Detection and Localization
2017In recent years, many pre-processing filters have been developed in order to enhance anatomical structures on chest CT images. These filters are typically based on the analysis of the multiscale second-order local information of the image, that helps identify structures with even (tubes) or odd (surfaces) symmetries.
Pietro, Nardelli +2 more
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Image Classification with Local Features
Advanced Science Letters, 2013Jian Cao +3 more
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