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The purposes of the paper are to contribute to the understanding of the notion of anisotropy of images and to expose details on a method for deriving global and local statistical features on materials, based on anisotropy. We introduce a definition of anisotropy related to the edges and improve measures of anisotropy. The images dealt with correspond mainly to non-woven fabrics based on polymeric...
General pregnancy monitoring with ultrasound includes the measurement of the biparietal diameter (BPD), femur (FL) and the mean abdominal diameter (MAD) of the fetus. This study was aimed to develop an automatic method for localization of the presented section through the abdomen and measurement of MAD. The algorithm may be run on a conventional ultrasound machine or on a tablet-based machine designed...
Image registration is an excellent tool in different fields. Its medical applications are various in many clinical situations in order to analyze the patient's situation and to follow the localization of malignant sites. Generally, registration can be categorized according to several criterions. In this work, we are interested in the similarity function, for that we contributed a normalized dissimilarity...
Most human detection algorithms in depth images perform well in detecting and tracking the movements of a single human object. However, their performance is rather poor when the person is occluded by other objects or when there are multiple humans present in the scene. In this paper, we propose a novel human detection technique which analyzes the edges in depth image to detect multiple people. The...
A personal or enterprise collection of a large set of face images may contain many types of tags used for querying the collection. Often the tags have many irrelevant content that may not reflect the image content in terms of the facial characteristics. In this paper, we propose a data curation method to filter out the irrelevant face images using a face recognition based subgraph identification....
The least significant bit (LSB) matching is a steganographic method which embeds the stego signal into cover images in the spatial domain. However, the stego signal disturbs the correlation of neighboring pixels in cover image and this can be utilized for steganalysis. Local binary pattern (LBP) is an effective image texture descriptor, and it can summarize the correlation of neighboring pixels. In...
Banding is a common video artifact caused by compressing low texture regions with coarse quantization. Relatively few previous attempts exist to address banding and none incorporate subjective testing for calibrating the measurement. In this paper, we propose a novel metric that incorporates both edge length and contrast across the edge to measure video banding. We further introduce both reference...
Normal human brain exhibits approximately bi-fold symmetry with respect to its midsagittal plane (MSP). The objective of this work is to investigate the effect of doubling atlases (i.e., reference images) used in multi-atlas fusion methods by exploiting the inherent bilateral symmetry of human brain. To this end, we perform automated segmentation of 15 subcortical structures using Local Weighted Voting...
In this paper, we introduce a new tool, CEREBRA, to visualize the 3D network of human brain, extracted from the fMRI data. The tool aims to analyze the brain connectivity by representing the selected voxels as the nodes of the network. The edge weights among the voxels are estimated by considering the relationships among the voxel time series. The tool enables the researchers to observe the active...
Aiming at solving the problem of low matching accuracy caused by different imaging mechanism of heterologous image, we propose a novel image registration algorithm based on effective sub-image extraction and bidirectional matching for surf feature points. The algorithm adopts a coarse-to-fine matching strategy. Firstly, we transform the edge image into frequency domain through fast Fourier transform,...
Attention deficit hyperactivity disorder (ADHD) is a common psychological disorder for a broad range of ages. Child and adolescent ADHD patients show different behavior patterns. The differences between child and adolescent ADHD patients have not been fully explored in terms of brain connectivity. In this study, we explored the differences of connectivity patterns between child and adolescent ADHD...
User location is crucial in understanding the dynamics of user activities, especially in relating their online and offline aspects. However, users' social media activities, such as tweets sent, do not always reveal their location. We consider the problem of estimating geo-tags for tweets and develop a comprehensive approach that incorporates textual content, the user's personalized behavior, and the...
In the present study, discrimination between Ultra-sonograms USGs of human livers of fatty and normal kind, based on the difference of their image textures, is attempted. Different texture features have been suggested in the literature for this purpose. Most popular of them are GLCM based features. Other features have also been proposed for classification. However, a visual scrutiny of the ultra-sonograms...
Recently, sparse coding and dictionary learning have been widely used for feature learning and image processing. They can also be applied to the rain removal by learning two types of rain and non-rain dictionaries, and then forcing the sparse codes of the rain dictionary to be zero vectors. However, this approach can generate edge artifacts that appear in the non-rain regions, especially around the...
In addition to the texture, multiview video employs the utilization of depth coding for the reconstruction of 3D video and Free viewpoint video. Standing on some texture-depth correlations, a number of methods in literature reuses texture motion vector for the corresponding depth coding to reduce encoding time by avoiding costly motion estimation process. However, texture similarity metric is not...
Modern industrial cameras mainly use the Bayer pattern as color filter array (CFA). However, this filtering limits the resolution of the color space. As interpolation methods cannot reconstruct the original image perfectly, they have to be optimized for a specific application. Therefore, the interpolation should match the purpose of the image processing system. Many standard algorithms are optimized...
We bring out a runway extraction method based on rotating projection in this paper, which is consisted of three steps, locating the Region of interest (ROI), edge extraction and line detection. Firstly we employed template matching to locate the ROI which contains the runway area. Then we use Sobel operator to extract edges. The rotating projection algorithm is proposed to seek the potential straights...
In this paper, a novel image descriptor, called Color Binary Correlation (CBC), is proposed for image retrieval. This method defines and describes the structure elements utilizing binary patterns based on colors and edge orientation respectively, and thus integrate texture with the other two properties. Besides, its variants CBCri and CBCu2, which are presented for rotated invariance and “unform”...
The works presented by the authors at MECO-2013 – MECO-2015 conferences as well as the other works considered the components of image superimposition techniques in computer vision systems with different degree of detail. In this paper for the first time a complete description of the automatic image superimposition technique is provided. This technique is suitable for the images both of a similar and...
Bio-inspired Address Event Representation change detection image sensors, also known as silicon retinae, have matured to the point where they can be purchased commercially, and are easily operated by laymen. Noise is present in the output of these sensors, and improved noise filtering will enhance performance in many applications. A novel approach is proposed for quantifying the quality of data received...
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