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Radon transform is robust to noise, and its performance is independent on the calculation of pattern centroid. Based on these facts, Radon transform is employed to extract invariant features in this paper. Radon functional integral transform is proposed, and Radon functional integral descriptors are constructed. It is proved that these descriptors are invariants to translation, scaling and rotation...
A networked controlled system (NCS) in which the plant communicates to the controller over a channel with random delay loss is considered. The channel model is motivated by recent development of tree codes for NCS, which effectively translates an erasure channel to one with random delay. A causal transform coding scheme is presented which exploits the plant state memory for efficient communications...
In this paper, we propose a new blind watermarking scheme for depth-image-based rendering (DIBR) 3D images. The center view and the depth map are available at the content provider side. After applying contourlet transform (CT) to the center view, we embed the watermark into the selected contourlet subbands of the center view by quantization on certain contourlet coefficients. The virtual left and...
Feature extraction and matching are a fundamental step in the image stitching. The quality of image stitching depends on a quality of matching output. In the process of matching the distance threshold is set to select the output. If the distance threshold is set too high or too low, the stitching will be inaccurate. This paper presents algorithm for automatically estimate the optimal distance threshold...
Dissimilarities in equal error rates (EERs) of multiple matchers heavily influence the performance of multi-biometric systems. A normalization technique aims at improving the recognition rate of such a system. In view of this, in this paper, an anchored normalization technique, referred to as improved anchored min-max (IAMM) technique for a multimodal biometric system, is developed. In the proposed...
Recently, Content Based Image Retrieval (CBIR) has received a great attention by researchers. It becomes one of the most interesting topic in computer vision and image processing. CBIR image can be represent by local or global features. The entire image is described in the case of global features by using a novel descriptor called Upper-Lower of Local Binary Pattern (UL-LBP) based on Local Binary...
This paper presents a novel quantized gradient based local feature descriptor, named Local Quantized Gradient Direction (LQGD) descriptor and the subsequent Partitioned Gradient Histogram, for facial image representation. The 8 bit LQGD descriptor accommodates eight levels quantized gradient magnitude and direction information from the horizontal and vertical gradients at local facial image pixels...
In this paper, we have proposed a new technique for voice activity detection (VAD) using lacunarity index combined with empirical mode decomposition (EMD) technique. In the preprocessing stage of the proposed framework, the noisy speech signal is decomposed into several intrinsic mode functions (IMFs) based on EMD technique. After that more informative IMFs are selected using spectral flatness measurement...
Day by day scanned documents are increasing to preserve the old literatures digitally, especially Telugu literatures. During this scanning so much noise comes into the scanned documents, in addition to noise, other geometry distortions, scale changes will take place while scanning. In this scenario, general optical character recognition (OCR) systems fail to extract the text due to these problems...
It became very easy today to capture and create digital photographs. It's no more a costlier affair, as most of the handheld electronic gadgets such as mobile phones are equipped with digital cameras. Today, there are ample PC and mobile apps available which are developed to manipulate captured photographs. One can easily take a picture, manipulate it with the installed app and make it viral through...
In the new Steganographic technique, hiding is based on the difference between the secret message value and the pixel value of the green component of the image. The proposed method works in the spatial domain of the image. We check the difference value between secret byte ASCII (American Standard Code for Information Interchange) value and the pixel ASCII value. For comparison embedding is initially...
This work presents a height estimation method that uses visual information. This method is based on the global appearance of the scenes. Every omnidirectional scene is described with a global appearance descriptor without any other transformation. This approach is tested with our own image database. This database is generated synthetically based on two different virtual rooms. One of the advantages...
The scrutiny of boundaries isolation methods is presented in this paper. The newly developed algorithms, based on regression analysis and integral projection are compared with Hough transform in order to analyze their effectiveness for the specific problem of moving logs control. The comparative analysis of the methods was carried out on the database of images obtained from video sequence of real...
In this paper, a novel logo recognition algorithm based on a set of invariant features, which are calculated by using Radon transform and complex moments is proposed. This set of features is invariant to Rotation, Scaling, and Translation (RST) and it is also robust to additive noise. Radon transform is powerful tool for rotation, scaling, and translation properties which make it useful for our purpose...
In this paper, a new multipurpose watermarking scheme is proposed to provide protection and authentication of medical data. To achieve both purposes, integer discrete wavelet transform (IDWT) decomposition is first performed, and then robust watermark (e.g. logo data) is embedded in the low frequency IDWT sub-band for copyright protection, while fragile watermark (e.g. the diagnosis information) is...
This work proposes a new design of a full-order observer able to achieve reconstruction of the state vector of LTI multivariable systems with multiple time-delays and unknown inputs (UI). The basic idea is to transform the problem of the unknown input observer (UIO) for LTI multivariable systems with multiple time delays to that of a standard one. The observer algorithm is achieved in three stages...
Currently, the problems of digital copyright have become increasingly prominent. However, digital watermark technology is the new technology in the field of copyright protection. And it has certain defects in the practical application. It cannot effectively solve the problem of the geometric attacks in terms of image and the impact on the QR code fast scanning characteristics. In order to solve the...
Our research focuses on the question of feature descriptors for robust effective computing, presenting a novel feature representation method-rotation-invariant histograms of oriented gradients (Ri-HOG). Most of the existing HOG techniques are computed on a dense grid of uniformly-spaced cells and use overlapping local contrast of rectangular blocks for normalization. However, we adopt annular spatial...
This paper introduces a new object tracking method which combines two algorithms working in parallel, and based on low-level observations (colour and gradient orientation): the Generalised Hough Transform, using a pixel-based description, and the Particle Filter, using a global description. The object model is updated by combining information from a back-projection map computed from the Generalised...
Symmetry is an omnipresent transformation in both nature and man-made objects. It is remarkable how human beings are capable of detecting and recognizing symmetries in the surrounding world without hesitation and without much apparent mental effort. On the other hand, teaching a machine to perform the same task has been challenging, resulting in a variety of approaches and algorithms. In this paper...
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