Results 271 to 280 of about 64,008 (285)
Some of the next articles are maybe not open access.
Shape matching and retrieval via contour multi-scale decomposition
2013 IEEE International Conference on Robotics and Biomimetics (ROBIO), 2013In this paper, we propose a new shape decomposition method based on visual perception for shape matching and retrieval which uses the protrusive corners under multiple scales. Our approach composes of a multi-scale shape decomposition procedure and a contour segments matching procedure.
Jin Zhang +4 more
openaire +1 more source
Multi-Scale Fusion and Decomposition Network for Single Image Deraining
IEEE Transactions on Image ProcessingConvolutional neural networks (CNNs) and self-attention (SA) have demonstrated remarkable success in low-level vision tasks, such as image super-resolution, deraining, and dehazing. The former excels in acquiring local connections with translation equivariance, while the latter is better at capturing long-range dependencies.
Qiong Wang +5 more
openaire +2 more sources
Improved Modulation Spectrum Through Multi-Scale Modulation Frequency Decomposition
Proceedings. (ICASSP '05). IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005., 2006The modulation spectrum is a promising method to incorporate dynamic information in pattern classification. It contains important cues about the nonstationary content of a signal and yields complementary improvements when it is combined with conventional features derived from short-term analysis.
null Somsak Sukittanon +3 more
openaire +1 more source
Multi-scale graph theoretic image segmentation using wavelet decomposition
SPIE Proceedings, 2010We present a novel implementation of multi-scale graph-theoretic image segmentation using wavelet decomposition. This bottom-up segmentation through a weighted agglomeration approach utilizes the specific statistical characteristics of vehicles to quickly detect regions of interest in image frames.
Michael P. Dessauer, Sumeet Dua
openaire +1 more source
Effective Image Fusion Rules Of Multi-scale Image Decomposition
2007 5th International Symposium on Image and Signal Processing and Analysis, 2007Image fusion rule is the key that influences the quality of image fusion which is a primary branch of multi-sensor information fusion. This paper proposes a fusion rule based on the combination of PCA and consistency checking and applies it to multi-scale image fusion algorithm. The method applies the PCA method to the approximation image decomposed by
Youzhi Zheng +3 more
openaire +1 more source
Intrinsic Image Decomposition Using Multi‐Scale Measurements and Sparsity
Computer Graphics Forum, 2016AbstractAutomatic decomposition of intrinsic images, especially for complex real‐world images, is a challenging under‐constrained problem. Thus, we propose a new algorithm that generates and combines multi‐scale properties of chromaticity differences and intensity contrast.
Shouhong Ding +4 more
openaire +1 more source
Multi-scale decomposition tool for Content Based Image Retrieval
2013 IEEE Applied Imagery Pattern Recognition Workshop (AIPR), 2013Content Based Image Retrieval (CBIR) is a technical area focused on answering “Who, What, Where and When,” questions associated with the imagery. A multi-scale feature extraction scheme based on wavelet and Contourlet transforms is proposed to reliably extract objects in images.
Soundararajan Ezekiel +6 more
openaire +1 more source
Multi‐scale attribute analysis and trace decomposition
SEG Technical Program Expanded Abstracts 1996, 1996Xin‐Gong Li, Tadeuss J. Ulrych
openaire +1 more source
Generalized Multi-Scale Image Decomposition for New Tone Manipulation
SSRN Electronic Journal, 2022xu guanlei, XG Xu, XT Wang
openaire +1 more source