Results 271 to 280 of about 791,315 (305)

Multi-scale feature identification using evolution strategies

Image and Vision Computing, 2005
An image usually contains a number of different features and regions. Many image-related applications, such as content-based image retrieval and MRI-based diagnosis, often require the ability to identify and mark features within the image. For images containing a specific sort of feature (e.g. convective storm) or region (e.g.
Xiaojing Yuan, Jian Zhang 0007, Xiaohui Yuan 0001, Bill P. Buckles   +3 more
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Saliency Detection Based on Multi-scale Image Features

2016 IEEE 14th Intl Conf on Dependable, Autonomic and Secure Computing, 14th Intl Conf on Pervasive Intelligence and Computing, 2nd Intl Conf on Big Data Intelligence and Computing and Cyber Science and Technology Congress(DASC/PiCom/DataCom/CyberSciTech), 2016
In this paper, a simple method is proposed for detecting salient regions by utilizing muti-scale features at a superpixel-based level. To guarantee the accuracy of the detected region, we make use of superpixel to form a new measurement, instead of using the level of pixel. Majority of saliency models consider visual features such as orientation, color,
Chaoqun Zheng, Xiaozhi Zheng, Guizhong Wang, Shuo Tian, Qiang Guo 0003   +4 more
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Image Inpainting with Multi-scale Consistent Features

2022 26th International Conference on Pattern Recognition (ICPR), 2022
Peifu Chen, Jianwei Zhang 0018, Guoqiang Han, Zhihui Ruan   +3 more
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Multi-Scale Feature Distillation for Anomaly Detection

2021 27th International Conference on Mechatronics and Machine Vision in Practice (M2VIP), 2021
Xincheng Yao, Ruoqi Li, Chongyang Zhang, Kefeng Huang, Kaiyu Sun   +4 more
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Image objects and multi-scale features for annotation detection

2008 19th International Conference on Pattern Recognition, 2008
This paper investigates several issues in the problem of detecting handwritten markings, or annotations, on printed documents. One issue is to define the appropriate units over which to perform feature measurements and assign type labels. We propose an alpha-shape tree that operates across multiple scales.
Jindong Chen, Eric Saund, Yizhou Wang 0001   +2 more
openaire   +1 more source

EXPLORING MULTI-RESOLUTION AND MULTI-SCALING VOLATILITY FEATURES

Fractals, 2004
One of the most recent results in empirical finance is the achievement of an accuracy gain for the volatility estimates from the use of high-frequency samples. In many applications, for instance, the observed intra-day data become the best informative source of estimation for the daily volatilites.
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Multi-scale gist feature manifold for building recognition

Neurocomputing, 2011
Multi-scale gist (MS-gist) feature manifold for building recognition is presented in the paper. It is described as a two-stage model. In the first stage, we extract the multi-scale gist features that represent the structural information of the building images.
Cairong Zhao, Chuancai Liu, Zhihui Lai
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Multimodal registration network with multi-scale feature-crossing

International Journal of Computer Assisted Radiology and Surgery
A critical piece of information for prostate intervention and cancer treatment is provided by the complementary medical imaging modalities of ultrasound (US) and magnetic resonance imaging (MRI). Therefore, MRI-US image fusion is often required during prostate examination to provide contrast-enhanced TRUS, in which image registration is a key step in ...
Shuting Liu, Guoliang Wei, Yi Fan, Lei Chen, Zhaodong Zhang   +4 more
openaire   +2 more sources

Multi-scale features of urban planning spatial data

2010 18th International Conference on Geoinformatics, 2010
Geospatial data is the digital carrier of geographic information. Spatial data and its manipulation or processing is related to cognitive ability, and the ability to understand the scale effect and behavior of spatial data would affect the accuracy of the acquired spatial knowledge.
Huijun Gao, Hao Zhang, Daosheng Hu, Ran Tian, Dazhi Guo   +4 more
openaire   +1 more source

A new texture representation with multi-scale wavelet feature

SPIE Proceedings, 2006
The existing methods for texture modeling include co-occurrence statistics, filter banks and random fields. However most of these methods lack of capability to characterize the different scale of texture effectively. In this paper, we propose a texture representation which combines local scale feature, amplitude and phase of wavelet modules in multi ...
Sheng Yi, Hanqiang Cao, Xutao Li, Miao Liu   +3 more
openaire   +1 more source