Serwis Infona wykorzystuje pliki cookies (ciasteczka). Są to wartości tekstowe, zapamiętywane przez przeglądarkę na urządzeniu użytkownika. Nasz serwis ma dostęp do tych wartości oraz wykorzystuje je do zapamiętania danych dotyczących użytkownika, takich jak np. ustawienia (typu widok ekranu, wybór języka interfejsu), zapamiętanie zalogowania. Korzystanie z serwisu Infona oznacza zgodę na zapis informacji i ich wykorzystanie dla celów korzytania z serwisu. Więcej informacji można znaleźć w Polityce prywatności oraz Regulaminie serwisu. Zamknięcie tego okienka potwierdza zapoznanie się z informacją o plikach cookies, akceptację polityki prywatności i regulaminu oraz sposobu wykorzystywania plików cookies w serwisie. Możesz zmienić ustawienia obsługi cookies w swojej przeglądarce.
This paper explores artificial immune system in feature extraction mechanism. Certain important features like robustness, dynamic, adaptive, error tolerant, distributive are key features of natural immune system. These features have a detailed description. We have used adaptive immune system to develop this extraction method successfully. The terrain has several facets such as water, vegetation, urban,...
Abstract- Newer generations of diagnostic machines are based on digital technologies for data acquisition and consequently with the emergence of digital archiving systems for preservation of diagnosis is rapidly increasing. The goals of Content-Based Image Retrieval (CBIR) systems is to process on collections of images, extract features and based on visual queries, extract relevant image from a repository...
In this paper, I propose a novel hybrid approach of license plate recognition system based on Neural Network and Image Correlation for classification of characters. I used image processing for segmentation. The purpose of this study is to develop a more reliable hybrid system than individual one. The license plate number of the vehicles taken from an acceptable distance from it up to 10m. This hybrid...
Reliable feature recognition is necessary in broad fields of computer vision and image processing. Edges often act as primary artifacts of visual data. Edge detection is to mark sharp changes of the intensity or brightness of digital images. Canny edge detection and ant colony optimization detection are two essential edge detection approaches. The former is susceptible to noises presented on source...
Contourlet, one of multiscale analysis tool with great property of multi-directionality, locality and sparse approximation, is an excellent 2-dimentional image description approach. Contourlet can be employed as a remote sensing image fusion approach to improve spatial resolution and application through precise capture of edge information from panchromatic image and injection of that into multispectral...
Shot boundary detection is a field of research of video processing. It aims to automatically detect the transition between the shots in the digital video. In this paper, a new video cut transition detection algorithm is presented by using Hilbert transform and Gray level co-occurrence matrix (GLCM). Texture features are extracted from the GLCM and the corresponding distance measure between the adjacent...
Launched in 2008, THEOS has successfully received data. China has signed an agreement about receiving, processing, archiving, and distributing THEOS data with GISTDA. The data of THEOS will soon be applied to and play an important role in resources surveying, environment monitoring, disaster assessing, mapping, and digital city. However, the study about pansharpening methods of THEOS images is still...
This paper presents a novel image security system based on the replacement of the pixel values using recursive Cellular automata (CA) substitution. The advantages of our proposed method are that it is computationally efficient and it is reasonably passing sensibility analysis tests. The proposed method is carried out by using one half of image data to encrypt the other half of the image mutually....
In literature several correlation filters have been proposed for image recognition. Traditionally linear correlation is applied among the images for this purpose, however, the operation is not robust when images are corrupted with non-Gaussian noise. In this paper we propose the use of morphological correlation combined with nonlinear filters for robust image recognition. Performance of the proposed...
In this paper, we propose an unsupervised spatial method in order to unmix each pixel of a remote sensing multispectral image. This method is related to the blind source separation (BSS) problem, and is based on sparse component analysis (SCA) and non-negative matrix factorization (NMF). Our approach consists in identifying the mixing matrix in the first stages, by using a spatial correlation-based...
In mixed-resolution (MR) stereoscopic video, one view is presented with a lower resolution compared with the other one; therefore, a lower bitrate, a reduced computational complexity, and a decrease in memory access bandwidth can be expected in coding. The human visual system is known to fuse left and right views in such a way that the perceptual visual quality is closer to that of the higher-resolution...
We propose a novel method to automatically detect and extract the video modality of the sound sources that are present in a scene. For this purpose, we first assess the synchrony between the moving objects captured with a video camera and the sounds recorded by a microphone. Next, video regions presenting a high coherence with the soundtrack are automatically labelled as being part of the source....
Fingerprint scanners have unique patterns that can be used to distinguish one scanner from another one. The pattern, which we call scanner pattern, stems from the variability of device characteristics at silicon level and is caused by imperfections of the conversion from the input to the scanner (i.e., the object applied to it) to its output (i.e., the digital image). The scanner pattern is a sufficiently...
A commonly considered image manipulation is to conceal undesirable objects or people in the scene with a region of pixels copied from the same image. Forensic mechanisms aimed at detecting this type of forgeries must also consider other potential types of post-processing, including geometric distortions. In this paper, a new method is proposed to detect duplicated regions, even when the cloned region...
This paper proposes a methodology to estimate the correlation model between a pair of images that are given under the form of linear measurements. We consider an image pair whose common objects are relatively displaced due to the positioning of vision sensors. In such scenarios the correlation model that relates the displacement between the objects is effectively represented by a disparity image....
Error resilient video coding critically relies on the accuracy of end-to-end distortion estimation. An established solution, the recursive optimal per-pixel estimate (ROPE), is based on tracking the first and second moments of the decoder reconstructed pixels. This paper is focused on an alternative estimation approach, the spectral coefficient-wise optimal recursive estimate (SCORE), whose recursion...
Motion compensated prediction (MCP) plays an important role in video coding due to its great capability of reducing temporal redundancy. In this paper, we propose a new MCP scheme by adaptive patch matching with the full use of the reconstructed pixels surrounding the current block (referred to as the template inside the patch) aiming at achieving a more accurate prediction than conventional MCP....
Conventional multi-view video coding (MVC) requires high encoding complexity and high rate data transmission from cameras to a joint encoder. Distributed coding theories guarantee that low complexity and independent encoders can achieve similar coding efficiency as traditional methods. However, there is still a big performance gap between current distributed multi-view video coding (DMVC) schemes...
To exploit both spatial and temporal correlation of video signal, a Second Order Prediction (SOP) scheme has been presented to eliminate the spatial correlation existing in motion compensated residue. Although SOP achieves better RD performance by adopting residue prediction in Mode Decision (MD) stage, it can be further improved by combining residue prediction into Motion Estimation (ME). Our analysis...
Podaj zakres dat dla filtrowania wyświetlonych wyników. Możesz podać datę początkową, końcową lub obie daty. Daty możesz wpisać ręcznie lub wybrać za pomocą kalendarza.