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Speckle filtering of polarimetric synthetic aperture radar (POLSAR) is more complicated than a single polarization SAR, because it needs preserve the characteristics of amplitude of each polarization channel and of the relative phase differences among the channels. Fortunately, J.S.Lee et al. have published a scattering-model-based speckle filter (SMBF) in 2006, that filter has good performance for...
Inspired from the Freeman-Durden three-component model, a roll-invariant three-component scattering decomposition model is proposed for polarimetric SAR data in this paper. Three points of modification are included in the model. Firstly, the deorientation procedure is introduced into the scheme to make the decomposition results roll invariant. Secondly, a modified volume scattering covariance matrix...
The splitting of touching characters remains a challenge in over-segmentation, which is crucial to the performance of integrated segmentation-recognition of handwritten character strings. In this paper, we propose a new method based on contour analysis for touching character splitting in Chinese handwriting. To reliably locate splitting points on the contour of touching pattern, we pair upper and...
This paper proposes a new method for fast text localization in natural scene images by combining learning-based region filtering and verification in a coarse-to-fine strategy. In each pyramid layer, a boosted region filter is used to extract candidate text regions, which are segmented into candidate text lines by multi-orientation projection analysis. A polynomial classifier with combined features...
In order to solve the problems of Gao algorithm, an improvement of Gao algorithm is proposed in this paper. Firstly, the shuffling procedure is combined with pixel diffusion to solve the problem that permutation isn't relative to the pixel values in Gao algorithm. Secondly, to solve the problem that the keystream isn't sensitive to plaintext in Gao algorithm, the feedback mechanism is introduced in...
This paper proposes a new tracking algorithm which combines object and background information, via building object and background appearance models simultaneously by non-parametric kernel density estimation. The major contribution is a novel bidirectional learning framework for discrimination between the object and background. It has the following advantages: 1) it embeds background information, unlike...
Text line segmentation in unconstrained handwritten documents remains a challenge because handwritten text lines are multi-skewed and not obviously separated. This paper presents a new approach based on the variational Bayes (VB) framework for text line segmentation. Viewing the document image as a mixture density model, with each text line approximated by a Gaussian component, the VB method can automatically...
This paper proposes a novel hybrid method to robustly and accurately localize texts in natural scene images. A text region detector is designed to generate a text confidence map, based on which text components can be segmented by local binarization approach. A conditional random field (CRF) model, considering the unary component property as well as binary neighboring component relationship, is then...
The color variations among different viewpoints in multiview video sequences may deteriorate the visual quality and coding efficiency. Various color correction methods have been proposed, however, the color appearance and histogram of corrected target frames are not similar enough to the reference frames in details. Focusing on restoring more similar color, a block-based color correction algorithm...
Directional features are preferred in off-line Chinese character recognition due to their superior performance. This paper proposes an enhanced four plane feature (en-FPF) within a segmentation-free recognition framework. First, the directional planes are strengthened by replenishing salient pixels. Second, the method to count perpendicular strokes are renewed. In experiments of realistic Chinese...
Camera motion estimation is important for video semantic analysis and video classification. Camera motion can be classified into several classes: camera rotation, camera translation, and camera zoom, but ordinarily we consider only camera translation and camera zoom. Traditional approaches for camera motion parameters estimation is features-based, and they are dependent on the image quality and image...
In this paper, we present a robust system to accurately detect and localize texts in natural scene images. For text detection, a region-based method utilizing multiple features and cascade AdaBoost classifier is adopted. For text localization, a window grouping method integrating text line competition analysis is used to generate text lines. Then within each text line, local binarization is used to...
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