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A promising approach when dealing with massive data sets is to apply randomized dimensionality reduction and then operate in lower dimensions. This paper deals with the randomized linear regression task in the case where the available data are sporadically corrupted. Instead of relying to minimization of norms, which are robust to outliers, an alternative route is taken. Building upon the observation...
In this paper, we propose a robust obstacle detection approach by leveraging Weighted Hough Transform (WHT) in combination with temporal information correlation from the stereo video sequences. First, to model the road surface or obstacles in the video, rather than using simple threshold from binarized frame sequence, we propose to adopt WHT to extract the linear relation from the v-disparity map...
In the past decade, watermarking has become an important tool in copyright protection applications. In this paper, we introduce a new watermarking scheme in the joint time-frequency domain. Wigner distribution is used to transform an image into the spatial-spectral domain. The proposed method selects the time-frequency cells to be watermarked based on the particular image's energy distribution in...
We use an optimization technique to accurately locate a distorted grid structure in a microarray image. By assuming that spot centers deviate smoothly from a checkerboard grid structure, we show that the process of gridding spot centers can be formulated as a constrained optimization problem. The constraint is equal to the variations of the transform parameter. We demonstrate the accuracy of our algorithm...
Text extraction, detection and recognition in images aims at integrating advanced text-based searching technologies which is now recognized as a main component in the development of advanced image and video annotation and retrieval systems. It is also used for image in painting. In this paper, we present a novel algorithm for detecting text in natural and complex images. Basically, it is a two step...
A generalized, linear atlgorith m is used for unbiasrd quantification of the orientation of corneal collagen fibers. Its application to SHG microscopy for determining macro structure urthe collagen extracellular matrix is demonstrated.
In this paper we consider the problem of minimizing the H∞-norm of the sum of two systems which are interconnected with two different controller components. We sketch two specific applications of this decentralized control problem. As the main contribution, we reveal that this structured controller design problem admits a full LMI solution if only one of the systems in the interconnection obeys a...
This paper present a new algorithm able to achieve a one-to-one mapping of a digital image onto another image. This mapping takes into account the limited resolution and the limited quantization of the pixels. The mapping is achieved in a multiresolution way. Performing small modifications on statistics of the details allows to build a lossless, i.e. revertible, watermarking authenticating procedure.
Adaptive filters with suitable nonlinear devices are very effective in suppressing the adverse effect due to impulse noise. In a previous work, the authors have proposed a new class of nonlinear adaptive filters using the concept of robust statistics [1,2]. The robust M-estimator is used as the objective function, instead of the mean square errors, to suppress the impulse noise. The optimal coefficient...
In some parametric domains, the problem of designing an exponentially stable interval observer for an exponentially stable two dimensional time-invariant linear system is an open problem. We show that, in some cases, no linear time-invariant change of coordinates can help to construct exponentially stable interval observers. Next, we exhibit a time-varying change of coordinates transforming the original...
Robust codes are new nonlinear systematic error detecting codes that provide uniform protection against all errors, whereas classical linear error-detection code detects only a certain class of errors. Therefore, defence by the linear codes can be ineffective in many channels and environments, when error distribution is unknown. This drawback makes the linear codes vulnerable to side channel attacks...
The recent trend of proliferation of road accidents and fatalities, calls for a methodology that can appease the burden on the drivers during certain crucial moments, requiring fast response and decision making. This paper expatiates a novel and effective procedure for determining the steering angle required to keep the vehicle in the middle of the lane. The procedure used is divided in multiple stages...
We present a segmentation strategy which first constructs a hierarchy, i.e. a series of nested partitions. A coarser partition is obtained by merging adjacent regions in a finer partition. The strength of a contour is then measured by the level of the hierarchy for which its two adjacent regions merge. Various strategies are presented for constructing hierarchies which highlight specific features...
We identify a novel instance of the background subtraction problem that focuses on extracting near-field foreground objects captured using handheld cameras. Given two user-generated videos of a scene, one with and the other without the foreground object (s), our goal is to efficiently generate an output video with only the foreground object (s) present in it. We cast this challenge as a spatio-temporal...
In few decades, text detection methods have been proposed with significant results. Yet, most of them are only implemented for certain language. Thus, this work proposes a text detection method for multi language text. To do such a task, a Fast Stroke Width Transform (FSWT) is introduced. FSWT is a robust local image operator for text detection with complex background. It is improved version of Stroke...
Detection of peaks of different waves of a finger-ECG signal is important for biomedical and biometrics applications. We introduce the augmented-Hilbert transform of first derivative of signal to signify the peaks by suppressing the non-peaks and noisy peaks. We need two computationally simple steps for the detection of peaks: signal transformation and finding local maxima-minima. This method needs...
Recently, researches on content based image copy detection mainly focus on robust feature extraction. However, due to the exponential growth of online images, it is time-consuming and unscalable to search among large scale images. Although many hashing methods has been proposed to improve the efficiency of image copy detection, they confront semantic loss issue. In this paper, we propose a new hashing...
Text detection in scene images has gained widespread interests. A notable work, which is the Stroke Width Transform (SWT), has been attracting much interests due to its simplicity and efficiency. However, the SWT has difficulty in situations such as blur, low contrast, and illumination change images since it highly relies on the outcome from the edge detector. In this paper, a novel method is proposed...
Image processing is one of the important areas of research, which provides efficient solutions to many real and industrial problems. Texture analysis is the most important field in image processing because all objects are textured in real world. In this work, we propose a new texture segmentation method based on the dynamic segmentation architecture. This architecture decomposes the image into blocks...
Most of the state-of-the-art methods for action recognition are very complex and variant to the geometric transformation like scaling, translation and rotation. Cuboid based method required all frames to extract the cuboid of action that's why cuboid based methods are expensive. Other methods use contour based approach for feature representation which is not robust to noise. So we require a very fast...
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