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.
Image quality assessment (IQA) is a crucial feature of many image processing algorithms. The state-of-the-art IQA index, the structural similarity (SSIM) index, has been able to accurately predict image quality by assuming that the human visual system (HVS) separates structural information from non-structural information in a scene. However, the precision of SSIM is relatively lacking when used to...
Steganography can be defined as a method of hiding data within a cover media so that other individuals fail to realize their existence. Steganographic systems play a vital role in covertly transmission of information even in the presence of an arbiter The message can be hidden in images, audio files or in text. Although the embedded message changes the characteristics and nature of the document in...
This paper puts forward a method to extract information from input image and further analyse using that information. However it is relatively difficult to extract the information as the segmentation technique required, is variable between images; a limit of segmentation performance. The main objective of our paper is to propose an algorithm on how to extract that relative information out of given...
This paper presents a low complexity 3D image depth map generation algorithm for embedded stereo applications. The proposed algorithm generates depth information based on a single view 2D image automatically. Owing to different scene characteristics of image, we propose a mechanism to classify images to “Scenery”, “Normal” and “Close-up” types first and generate the associated depth map according...
We propose a method to judge a walker's intention around pedestrian lights by using fuzzy rules. We detect pedestrian object in a movie of crosswalk area by using the code book method and acquire contour information. To improve the processing speed in this stage, we use parallel processing technique based on CUDA (Compute Unified Device Architecture). Now, we remove shadow which causes shape distortion...
A new class of biometrics based upon ear features was introduced for use in the development of passive identification. This paper presents an efficient technique for automatic ear detection from side face images. The proposed technique detects human's ear without any training or assumption of prior knowledge about the input image, and it does not need any human intervention so it can be used successfully...
This paper proposes a method for alignment of human brain magnetic resonance (MR) image sequences in the brain based on a 3D human brain model (triangulated mesh). The brain model is composed of four components, namely, cerebrum, cerebellum, brain stem and pituitary gland which are represented by four different colors. Synthesized image sequences (cross-sections) are extracted from the model at regular...
This paper focuses on monocular-video-based stationary detection of the pedestrian's intention to enter the traffic lane. We propose a motion contour image based HOG-like descriptor, MCHOG, and a machine learning algorithm that reaches the decision at an accuracy of 99 % within the initial step at the curb of smart infrastructure. MCHOG implicitly comprises the body language of gait initiation, especially...
Vehicle license plate recognition has complex characteristics due to diverse effects as the fog, rain, shadows, irregular illumination conditions, partial occlusion, variable distances, cars' velocity, scene's angle and others. License-plate location in sensor images plays an important role in vehicle identification for automated transport systems. For the extraction of positioning in license plate...
It is an important and indispensable part for image compression to evaluate its results. Quality assessment methods for image compression can not only evaluate the quality of the results, but also, to a certain extent, judge the methods of image compression. This paper firstly introduces several common objective assessment methods for image compression and the progress of recent research. Then, aiming...
This paper presents a novel approach called PEPA (Perceptual Edges Preservation Algorithm) which enables computing machines to mimic the human vision capability in perceiving meaningful objects in an input scene, characterized in that the preserved edges are conformal to human vision perception. The approach mainly comprises three stages: (1) applying linear and nonlinear filtering to mimic the capability...
Human detection is one of the hard problems in object detection field. There are many challenges like variation in human pose, different clothes, non-uniform illumination, cluttered background and occlusion which make this problem much harder than other object detection problems. Defining good features, which can be robust to this wide range of variations, is still an open issue in this field. To...
The paper presents a high speed video processing algorithm designed to measure several parameters related to eyelid movements during blinking. First, the facial features of the subject are detected and tracked; then, the eye regions of interest are extracted using data regarding face orientation and eyebrows position. In the next stage, eye contour and representative lines for upper and lower eyelids...
The question of scene information whether can help realistic action recognition has been investigated in this paper. The salience region of each frame in video was acquired by using Itti-Koch algorithm. The information outside the salience region represented scene information. Two action recognition methods were tested on the YouTube action dataset. One method got rid of partial scene information,...
Human visual system can detect salient region fast and reliably, however, it is a big challenge to build a corresponding visual computing model. In this paper, a model of salient region detection based on local and regional features is presented. Firstly, the image is divided into 8 × 8 sub-blocks. Secondly, the local feature and regional feature of each sub-block are calculated. Local feature which...
PET and CT image registration is an important tool of clinical diagnosis of diseases. For PET and CT images, a preprocessing algorithm of medical image registration is proposed in this paper. The algorithm process includes image normalization, CT image adaptive threshold adjustment and automatic extraction of tissues based on morphology, edge detection and statistical analysis theory, and improved...
Social network analysis is a popular topic in social science. However, it needs a lot of human labor to get the information in psychological analysis. In this paper, we propose a multi-camera based evaluation system which can automatically track and recognize the human activities in an environment, and then build the corresponding social network and personality graphs. The proposed system contains...
Among 2D-to-3D image conversion methods, those involving human operators have been most successful but also time-consuming and costly. Automatic methods, that typically make use of a deterministic 3D scene model, have not yet achieved the same level of quality as they often rely on assumptions that are easily violated in practice. In this paper, we adopt the radically different approach of “learning”...
Although the scale of isotropic visual elements such as blobs and interest points, e.g. SIFT[12], has been well studied and adopted in various applications, how to determine the scale of anisotropic elements such as edges is still an open problem. In this paper, we study the scale of edges, and try to answer two questions: 1) what is the scale of edges, and 2) how to calculate it. From the points...
Contour Completion plays an important role in visual perception, where the goal is to group fragmented low-level edge elements into perceptually coherent and salient contours. This process is often considered as guided by some middle-level Gestalt principles. Most existing methods for contour completion have focused on utilizing rather local Gestalt laws such as good-continuity and proximity. In contrast,...
Podaj zakres dat dla filtrowania wyświetlonych wyników. Możesz podać datę początkową, końcową lub obie daty. Daty możesz wpisać ręcznie lub wybrać za pomocą kalendarza.