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The problem of no-reference measurement of image contrast is considered. The method of no-reference quantitative assessments of image contrast using different contrast kernels is proposed. A comparison of the proposed and known histogram-based methods of image contrast measurement of was carried out. Examples to illustrate the effectiveness of proposed method are given.
In view of the phenomenon that the factors of occluded target and it's changed background lead to failure in the process of tracking, a MTF (Mean-shift by TWH and FBerror) tracking algorithm is proposed. Firstly, TargetWeighted Histogram (TWH) is introduced to describe target in Mean-shift tracking framework, i.e., using local-background of target to weaken inner-background features of all-region...
This paper presents a sparse representation based image inpainting method using local patch analysis and geometric structure based feature extraction. In local patch analysis, we approximate the target region by weighted average of some local patches which are frequently occurred within a neighborhood. Local patch statistics is applied to find the most relevant neighbors for each target patch. Further...
Although the design of low-level local spatiotemporal features has recently led to significant improvement of performance in many action recognition applications, much less attention has been given to the equally important problem how to organize such low-level features extracted from the videos into a higher-level representation suitable to represent and discriminate between many different action...
Image quality is a hot topic since most of image analysis and recognition systems are sensitive to degradation. In this paper, we are interested in the quality of document images to recover text content with as few errors as possible. One of the defects that degrades the Optical Character Recognition rate (OCR) is blur. Therefore, we propose to detect blur and to attenuate its effect on an OCR result...
Histogram is a popular analytic graphical representation of data distribution resulting from processing a given numerical input data. Although the sequential histogram computation may be simple, it is no longer suitable in processing high volume of data. With recent advancement of high performance computing (HPC), aided by the accelerating growth of General Purpose Graphic Processing Unit (GPGPU),...
The paper presents a unique combination of texture feature extraction techniques which can be used in image texture analysis. Setting the prime objective of classifying different texture images, the Local Binary Pattern (LBP) and a modified form of Gray Level Run Length Matrix (GLRLM) are implemented initially. The next phase involves use of combination of the former two methods to extract improved...
Image blurring attenuate crucial textures and thus always result in a pretty dismal visual experience. Unfortunately, image blurring is difficult to avoid during the image acquisition, hence, lots of recent research focus on how to preserve subtle textures while suppress visual artifacts during image deblurring. Among all of the existing image deblurring methods, image priors, such as non-local priors...
Gait recognition has received increasing attention in biometrics. However, more effort is needed to enhance the performance. In this paper, we investigate a novel descriptor for gait recognition known as Kernel-based Fuzzy Local Binary Pattern (KFLBP). The spatio-temporal static and dynamic characteristics of a gait sequence is first summarized using a Gait-Energy Image (GEI). Then, the proposed approach...
Median filter is usefiil in image and video processing. It can be used for filtering noises, for estimating background images, and so on. However, median filter is time-consuming. This paper presents a new method for realizing the median filter in GPU (Graphics Processing Unit) for background estimation problem. The proposed method can perform the filtering in just several milliseconds for each frame...
This paper proposes a new approach for image classification by combining pyramid match kernel(PMK) with spatial pyramid. Unlike the conventional spatial pyramid matching (SPM) approach which only uses a single-resolution feature vector to represent an image, we use a multi-resolution feature vector to represent an image for SPM. We then calculate the match scores at each resolution of SPM representation...
Handwriting has been known to be a very strong identifying characteristic of an individual and can be considered a behavioural biometric trait. This has made hand writer identification an important area of research. In this paper, a novel offline writer identification system is proposed using ensemble of multi-scale local ternary pattern histogram features. Features are extracted at multiple scales...
This paper addresses the problem of automatic target recognition (ATR) using inverse synthetic aperture radar (ISAR) images. In this context, we propose a novel approach for feature extraction to describe precisely an aircraft target from ISAR images. In our approach, a visual attention model is adopted to separate the salient regions from the background. After that, the scale invariant feature transform...
Segmenting moving objects from the background is an important step in intelligent video applications, such as intelligent video surveillance. Many approaches use optimal threshold for the separation of moving object from a background. However they suffer from two limitations: It is not only difficult to compute an optimal threshold, but also ignore the correlation that exists between the intensity...
Fusing multiple features within one biometric modality has attracted increasing attention and interest among researchers during recent decades because the concept is useful in addressing a wide range of real world problems. In this paper, we propose a novel fusion approach that combines two feature extraction algorithms: Local Binary Pattern Histogram Fourier Features (LBP-HF) and Gabor filter technique...
Sensor models, which specify the distribution of sensor observations, are a widely used and integral part of robotics algorithms. Observation distributions are commonly approximated by parametric models, which are limited in their expressiveness, and may require careful design to suit an application. In this paper, we propose nonparametric distribution regression as a procedure to model sensors. It...
Recently, several effective features were proposed for person re-identification, such as Weight Histograms of Overlapping Stripes (WHOS) and Local Maximal Occurrence (LOMO), but it still need to explore new effective feature to improve the precision for person re-identification. So, in this paper, we proposed a new Dual Channel Gradient feature, which can be fused with WHOS and LOMO by directly concatenating...
Hypertension poses a serious atherosclerotic risk as it causes both macro- and micro circulation damage. Nailfold capillaroscopy is a valuable yet simple tool to assess microcirculation of blood capillaries. This technique is important in detecting early occurrences of scleroderma spectrum disorders and evaluating Raynaud's Phenomenon. Here it is used in detecting hypertension in patients. Current...
Palmprint recognition method is part of the biometric system that has a significant impact on the advancement of civilization, especially in the areas of sensing identity the person. To get the reliable system, the selection of actions to be taken include choosing a filter of skeleton method, selecting the scale orientation of Gabor method, and using appropriate a dimension reduction. The results...
In order to improve the docking success rate in Automated Aerial Refueling (AAR), it is important to identify the receiver aircraft's receptacle for boom receptacle refueling (BRR). Meanshift tracking algorithm only considers the H component color statistics of the target area, lacking spatial information, could easily lead to inaccurate tracking. Besides, Meanshift tracking algorithm could easily...
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