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.
Recognizing the human facial expression and emotion by computer is an interesting and challenging problem. This project proposes a method for facial expression recognition (FER) using Local Directional Number Pattern (LDN) and Local Tetra Pattern (LTrP). The proposed FER method removes the noise using Modified Decision Based Unsymmetrical Median Filter (MDBUTMF) method. The Local Directional Number...
Face recognition is considered as a high dimensionality problem. To handle high dimensionality, a numerous methods have been proposed in literature. In this paper, we propose a novel face recognition method that efficiently solves that problem using MPEG-7 edge histogram descriptor. To the authors' knowledge, this is the first attempt to use edge histogram descriptor in face recognition. Although...
This paper adopts a content-based image retrieval method based on an efficient combination of dominant colors and edge valley histogram. The dominant colors, which are the most frequently appeared colors in RGB color space, are easy to extract and closed human perception. Edge valley histogram represents the motifs of the edge and valley blocks in images. The two histograms with the discriminative...
Accurately Extracting the breast region from a mammogram is one of the most important keys for breast mass analysis. This paper uses the median filtering, morphological erosion processing, Sobel edge detector, and thresholding to find a original breast boundary, then uses the gradient vector flow snake (GVF-Snake) with gradient map adjustment to get the accurate breast boundary. The presented algorithm...
A study on the performance of the Edge Pixel Orientations Histogram is presented in this paper. Edges are detected with the Canny algorithm without and with hysteresis thresholding. The resulting edges are described in No different orientations using the gradient orientation. The two edge images are divided into N × N sub-images. Counting the number of edge pixels with each orientation for each sub-image...
Edges are one of the most important image visual features. They are highly related with shapes and can also be representative of the image textures. Edge orientation histograms are usually very reliable descriptors suitable for image analysis, search and retrieval. In this work two methods to compute edge based orientation descriptors are reported: the "Edge Pixel Orientations Histogram"...
In this paper, we propose an object detection method that uses Joint features combined from multiple Histograms of Oriented Gradients (HOG) feature using two-stage boosting. There has been much research in recent years on statistical training methods and object detection methods that combine low-level features obtained from local areas. In our approach, multiple low-level HOG features are combined...
In this paper, we present a logo and trademark retrieval system for general, unconstrained, color image databases, extending the color edge Co-Occurrence Histogram (CECH) object detection scheme. We introduce more accurate information to the CECH, by virtue of incorporating color edge detection using vector order statistics. This produces a more accurate representation of edges in color images, in...
With the rapid development of technology of multimedia, the traditional information retrieval techniques based on keywords are not sufficient, content - based image retrieval (CBIR) has been an active research topic. A new content based image retrieval method using the feature analysis of edge extraction and median filtering is proposed. To the defect of median filter reducing the imagepsilas resolution...
When it is necessary to analyze a personpsilas face, whether it is for recognizing pathologies, emotions, or states of mind, it becomes necessary to obtain a maximum of information of the facial characteristics that especially reflect these aspects. These characteristics are principally, the mouth, eyes and eyebrows. The start of the analytic process, once the face and the facial feature to be analyzed...
Because of high volume of graphic information, retrieval of compressed images is one of the needs of information era. One of the rapid methods for image compression which has the capability to maintain important information of images for retrieval is block truncation coding (BTC). In this article a new method for retrieval of images compressed by BTC has been provided. In our approach, we use some...
This paper presents a novel approach in coin image analysis based on middle-level features. The approach is used for image matching and it is developed utilizing edge pixel neighboring histograms. The overall structure of coin images are captured and used for similarity measurements. The closeness of the method to human perceptual judgment is evaluated by a semantic-based test along with the efficiency...
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.