The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
In the image retrieval, “Fusion” refers to the problem where two or more ranked image lists are merged into a single ranked list and the unified list is presented to the user. In this paper, we focus on the combination of two ranked results from the independent Short term learning methods with Reciprocal Rank Fusion to improve the accuracy of the system. To evaluate the proposed method, we implement...
Segmentation of moving objects in a video sequence is a primary mission of many computer vision tasks. However, shadows extracted along with the objects can result in large errors in object localization and recognition. We propose a novel method of moving shadow detection using wavelets and watershed segmentation algorithm, which can effectively separate the cast shadow of moving objects in a scene...
This paper presents a skin segmentation method based on multiple classifier system strategy in order to improve the performance of classification especially in quasi-skin regions. Quasi-skin regions in digital images are non-skin patches which have characteristics like the human skin and are known as a basic origin of misclassification error in skin segmentation. To cope with this problem, we have...
In this paper, we propose an information theoretic approach to fuse images compressed by compressed sensing (CS) techniques. The goal is to fuse multiple compressed images directly using measurements and reconstruct the final image only once. Since the reconstruction is the most expensive step, it would be a more economic method than separate reconstruction of each image. The proposed scheme is based...
The Local Binary Patterns (LBP) feature extraction method is a theoretically and computationally simple and efficient methodology for texture analysis. The LBP operator is used in many applications such as facial expression recognition and face recognition. The original LBP is based on hard thresholding the neighborhood of each pixel, which makes texture representation sensitive to noise. In addition,...
The widespread usage of the contourlet-transform (CT) and today's real-time needs demand faster execution of CT. Solutions are available, but due to lack of portability or computational intensity, they are disadvantageous in real-time applications. In this paper we take advantage of modern GPUs for the acceleration purpose. GPU is well-suited to address data-parallel computation applications such...
Distance metrics are widely used in various machine learning and pattern recognition algorithms. A main issue in these algorithms is choosing the proper distance metric. In recent years, learning an appropriate distance metric has become a very active research field. In the kernelised version of distance metric learning algorithms, the data points are implicitly mapped into a higher dimensional feature...
This paper presents two new approaches for facial expression recognition based on digital curvelet transform and local binary patterns from three orthogonal planes (LBP-TOP) for both still image and image sequences. The features are extracted by using the digital curvelet transform on facial regions in still image. In this approach, some sub-bands correspond to angle of facial region is used. These...
Similarity measure is an important key in image registration. Most traditional intensity-based similarity measures (e.g., SSD, CC, MI, and CR) assume stationary image and pixel by pixel independence. Hence, perfect image registration cannot be achieved especially in presence of spatially-varying intensity distortions and outlier objects that appear in one image but not in the other. Here, we suppose...
Brain hemorrhage detection and classification is a major help to physicians to rescue patients in an early stage. In this paper, we have tried to introduce an automatic detection and classification method to improve and accelerate the process of physicians' decision-making. To achieve this purpose, at first we have used a simple and effective segmentation method to detect and separate the hemorrhage...
Display devices based on its different screens and resolutions, need image resizing to retain the image's quality. Common image resizing methods cannot save or protect important objects or its results are non-photorealistic. Seam carving as a new method has been widely used for content-aware image and video resizing with little distortion in comparison with common methods. Unfortunately, seam carving...
This paper presents a new method for image encryption using Genetic algorithm (GA). First, rows and columns of the input image are dislocated randomly. Then, the obtained image is divided into four equal sized sub-images. After selecting one of these sub-images accidentally, two pixels are chosen from it as GA initial population. Cross-over and mutation operations are applied on the binary values...
Vehicle Plate Recognition (VPR) algorithm in images and videos usually consists of the following three steps: 1) Region extraction of the plate (plate localization), 2) characters segmentation of the plate 3) Recognition of each character. This paper presents new methods for real-time plate recognition in each step. We used a Detector for the Blue Area (DBA) to locate the plate, Averaging of White...
Skin detection is the preliminary stage of many computer vision applications. In this paper, a statistical fusion model is proposed for detecting skin regions in arbitrary images. We used conditional random field (CRF) to statistically combine the information of different color spaces and model the spatial relationship between image pixels. The conditional probability distribution of labels (skin...
When an earthquake happens, the image-based techniques are influential tools for detection and classification of damaged buildings. Obtaining precise and exhaustive information about the condition and state of damaged buildings after an earthquake is basis of disaster management. Today's using satellite imageries such Quickbird is becoming more significant data for disaster management. In this paper,...
A newfound method of denoising that based on Averaging Reconstructed Image (AVREC), is used. The approach was proposed on signals, approximately about last decade, Since 2004. In definition (procedure), first of all, we divide the spectrum of noisy image into several images that can be then, reconstructed with 2-D Singularity Function Analysis (SFA) model. Among this mathematical model, each matrix...
In this paper, we propose a new super resolution technique based on the interpolation followed by registering them using iterative back projection (IBP). Firstly the low resolution image is interpolated and then decimate it to four lower low resolution images. The four low resolution images are interpolated and registered by using IBP in order to generate a sharper high resolution image. The proposed...
Perception and diagnosis of disorders by using single photon emission computed tomography (SPECT) image is difficult since this image does not contain anatomical Information. In the studies it is tried to make innovation SPECT image by magnetic resonance imaging (MRI) and image fusion methods. So the fused image is obtained involving functional and anatomical information. MRI image shows tissue brain...
The Stroke width is an important and stable feature to describe the texts in the document images. In this paper, we propose a method for finding stroke width variety in city map images. Since in city maps the graphics lines and text labels are usually overlap with each other, it is difficult to find the stroke width in such images. On the other hand, texts are printed in a variety of widths. Knowing...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.