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.
Segmentation of the foreground objects is the primary step in many video analysis applications. The accuracy of the segmentation is dependent on an accurate background image that is used for background subtraction. The Teknomo-Fernandez (TF) algorithm is an efficient algorithm that quickly generates a good background image. A previous study showed the extendibility of the TF algorithm to higher number...
According to the World Health Organization (WHO), as of 2012 esophageal cancer is the eighth-most common cancer globally with 456,000 new cases during the year. One of the triggers of the esophageal cancer is the hiatus hernia, and currently, the frequency disease increases with age, from 10% in patients younger than 40 years to 70% in patients older than 70 years old. Given the above, the aim of...
One of the common methods in the area of combating with malwares is the use of opcodes-sequence exist in the malwares' assembly code. In this study, a new method has been used based on the structural classification of opcodes to detect malwares and its efficiency has also been put into investigation compared to the opcodes method. For this purpose, two different methods are to be applied for eliciting...
In this paper, an improved segmentation method of the pigmented skin lesions have been proposed in which to achieve the high characteristics of segmentation, converting the RGB images to U channel of YUV color space and noise reduction with fourier-domain filtering properties is done in pre-processing step. Also, Otsu thresholding and morphological reconstruction algorithms are used respectively in...
License plate character segmentation (LPCS) is a very important part of vehicle license plate recognition (LPR) system. The accuracy of LPR system widely depends on two parts; namely license plate detection (LPD) and LPCS. Different country has different types and shapes of LPs are available. Based on character position on LP, we can find two types of LPs over the world, single row (SR) and double...
Over the last decade, feature point descriptors such as SIFT have become indispensable tools in the computer vision community. But, the descriptor's high computational overhead becomes a significant concern when it has to be on a device with limited computational and storage resources. In order to make descriptors faster to compute and more compact, several binary descriptors such as ORB and BRISK...
Psoriasis severity assessment is usually performed based on the computation of the Psoriasis Area and Severity Index (PASI). Physicians subjectively classify the erythema parameter into several grades of severity. To support the decision and the evaluation of the psoriasis lesions' evolution in time, this study proposes an approach for the objective assessment of erythema degree. There were processed...
Detecting plant nutrient deficiencies and evaluating fertilizer program are done by leaf tissue analysis. Unfortunately, this quantitative method is quite expensive and time consuming for traditional farmers due to its laboratory procedure. In this research, an automatic and non-destructive method based on digital image for soybean leaf color level determination was developed. Color level status is...
In the context of stereo matching remaining a classical problem in computer vision, this paper presents a novel stereo matching algorithm based on ground control points using graph cut (GC). The proposed algorithm incorporates local and global stereo methods, initializes the disparity map with a local stereo approach in the first place on purpose of selecting GCPs (Ground Control Points), and applies...
In this paper, we present a supervoxel generation algorithm based on partially absorbing random walks to get more accurate supervoxels in these regions. A novel spatial-temporal framework is introduced by making full use of the appearance features and motion cues, which effectively exploits the temporal consistency in the video sequence. Moreover, we build a new Laplacian optimization structure with...
The task of reef restoration is very challenging for volunteer SCUBA divers, if it has to be carried out at deep sea, 200 meters, and low temperatures. This kind of task can be properly performed by an Autonomous Underwater Vehicle (AUV); able to detect the location of reef areas and approach them. The aim of this study is the development of a vision system for coral detections based on supervised...
This paper proposes a novel algorithm for Content Based Scene Retrieval (CBSR) using video features such as moment, histogram, Edge Histogram Descriptor (EHD)… This application is similar for Content Based Image Retrieval (CBIR) but instead of finding corresponding images in the database, it identifies the corresponding scene which contains the testing frame. The proposed algorithm can deal with scene...
In this paper, we propose a system of automatically classifying different types of dates from their images. Different dates have various distinguished features that can be useful to recognize a particular date. These features include color, texture, and shape. In the proposed system, a color image of a date is decomposed into its color components. Then, local texture descriptor in the form of local...
Until now, designing a reliable image segmentation algorithm is still an open problem. Research related to this matter is still underway, but in one occasion we may be faced with the problem for selection image segmentation algorithms that will we use? To get the solution of this problem we need a good technical evaluation of image segmentation algorithms. With the technique, it is expected we can...
For the need of actually combining RGB data and depth input in computer vision research, new RGB-D features for object recognition are proposed. We present six kinds of RGB-D kernel matching functions on kernel view. They have the capability of capturing different RGB-depth cues including position, size, shape and distance. Due to the infinite dimensional character in Gaussian space, it is computationally...
The GrabCut, which uses the graph-cut iteratively, is popularly used as an interactive image segmentation method since it can produce the globally optimal result. However, since the initialization of the GrabCut is roughly performed by the manual interaction, the accuracy of the segmentation result is not guaranteed when the user defines an inaccurate guide. To solve this problem, in this paper, we...
Traffic sign recognition contributes to the safety of drivers and people around the car. The system analyzes the road ahead images taken by on-vehicle camera, but blurred and distorted images make it difficult to recognize correct traffic sign. In this paper, we propose a method that deforms from ellipses to perfect circles and applies template matching with distorted sign templates.
Handwritten Signature Verification (HSV) systems have been introduced to automatically verify the authenticity of a user signature. In offline systems, the handwritten signature (represented as an image) is taken from a scanned document, while in online systems, pen tablets are used to register signature dynamics (e.g., its position, pressure and velocity). In online HSV systems, signatures (including...
Face detection technology is a hot topic of pattern recognition and computer vision. The method based on skin color feature and AdaBoost are both the most representative methods. Among them, the former method has a faster detection speed, but lower accuracy; the latter method has a higher accuracy, but slower speed. In this paper, a fast face detection method based on the combination of skin color...
This paper provides a comparative study of several enhanced versions of the fuzzy c-means clustering algorithm in an application of histogram-based image color reduction. A common preprocessing is performed before clustering, consisting of a preliminary color quantization, histogram extraction and selection of frequently occurring colors of the image. These selected colors will be clustered by tested...
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.