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.
Edge is the most used and important segmentation feature in most of the object based image processing applications. Primary challenging issues with all the edge detectors are their adaptability for different scenes, noise immunity and most importantly complexity of implementation which can hinder real time performance for high resolution images. In this paper, we have proposed a novel, efficient and...
In this paper, an improvement of fast image scaling algorithm, which produces image with wellpreserved edge, is proposed. The edge of the original image is detected by using four Sobel spatial operators. And the direction of edge is then measured by using two newly proposed edge detectors employing two threshold values. Based on these, pixels are interpolated adaptively, where edge pixels are interpolated...
Edge detection is one of the most important tasks in image processing and pattern recognition. Edge detector with multiple color channels can provide more edge information. However, the uncertainty occurring with the edge detection in each single channel and the discordance existing in the fusion of multiple channels edge detectors make the detection difficult. In this paper, we propose a new edge...
In this paper, we present a novel denoising algorithm based on the Rodin-Osher-Fatemi (ROF) model. The goal is to ensure maximum noise removal while preserving image details. To achieve this goal, we developed a new edge detector based on the structure tensor, Non-Local Mean filtering and fuzzy complement. This edge detector is incorporated in the objective function of the ROF model to introduce more...
Efficient solutions must be considered, in order to solve the problem of intensive computing of the image processing applications and to achieve high real-time performance. The graphics processing unit (GPU) is an effective and the most recent method used for accelerating extensive calculation algorithms to reduce the execution time by exploiting the power of parallel programming techniques and to...
Objective of the study is to suggest a hybrid computational method to enhance text from historical inscriptional images by differentiating foreground and background of the inscriptional images using hysteresis thresholding based on various edge detectors such as canny, sobel and laplacian techniques. Furthermore, the combined thresholding methods based on edge detectors were estimated to determine...
In the original algorithm for grey correlation analysis, the detected edge is comparatively rough and the thresholds need determining in advance. Thus, an adaptive edge detection method based on grey correlation analysis is proposed, in which the basic principle of the original algorithm for grey correlation analysis is used to get adaptively automatic threshold according to the mean value of the...
Ultrasound medical images are very important component of the diagnostics process. They are widely used since ultrasound is a non-invasive and non-ionizing diagnostics method. As a part of image analysis, edge detection is often used for further segmentation or more precise measurements of elements in the picture. Edges represent high frequency components of an image. Unfortunately, ultrasound images...
The estimation theory, in general, was developed to target three major applications. Smoothing, filtering and prediction. Linear estimators, thus can predict future outcomes of an event or set of events, based on a weighted sum of the past set of events. It is obvious that when the outcome has a steep change in the next step, the error in prediction increases. Using this property and applying it to...
This paper proposes three robust detection algorithms for locating the cutting line in an image captured by a panel-cutting system. All of the proposed methods contain two stages: edge detection and line fitting. In this paper, edge detection can search interest gradients depending on the intensity concentration. Meanwhile, the proposed line-fitting algorithm is able to precisely fit a line by minimizing...
Edge Detection is a very essential part in digital image processing. In case of applications which require object information or feature extraction in an image, edge detection can play a vital role. Edge occurs where there is discontinuity or a sharp change in the intensity function. Now there are many operators for edge detection, but the challenge is to get better results from the existing system...
We have used automatic programming, a machine learning technique related to inductive logic programming and genetic programming, to make the Canny edge detector better at identifying contours in natural images. We present an improved version of the filter used in the first stage of the Canny algorithm. We show that the mean performance of the Canny algorithm with the improved filter on a popular test...
Automatic Number Plate Recognition (ANPR) can be identified as a technology which has been developed mainly based on Image Processing methodologies. It is being widely used in identifying vehicles in applications such as red-light enforcement, over speeding, bus lane control, motorway road tolling, border control and access/parking control. However axioms of ANPR rest on Image processing approaches...
This work presents the design of a hardware architecture of interval type-2 fuzzy edge detector, performing fuzzy edge detection algorithm at high fidelity to the theoretical model and robustness, at a reduced computational time through hardware design strategies as parallelism and pipelining. Edge detection is an important processes in digital processing of images, but its high computational cost...
Contour detection is often utilized algorithm in picture processing. Sometimes is useful to localize edges with sub-pixel accuracy. In this paper we discuss about precise position of edge which is moving during the exposure time. To localize moving edge we define accumulative function and then we use three edge detection algorithms with sub-pixel accuracy in 1-D images: algorithm based on approximation...
Image processing includes many various procedures and one of the mostly used is edge detection. Sometimes is desirable to improve precision of edge detector to sub-pixel range. In our paper we deal with precise localization of edge which is moving during the exposure time. For such the edges we tested three edge detectors with sub-pixel precision in 1-D images: algorithm that uses function erf to...
Edge detection is one of the important operations in image processing and computer vision. It is the process that is used to locate the boundaries of objects or textures depicted in an image. To know the positions of these boundaries is a critical task in the process of image enhancement, recognition, restoration and compression. The edges of image are considered to be the most important attributes...
X-Ray images are undoubtedly one of the earliest yet most informative ways of analyzing anomaly in bones. X-Ray is one of the oldest and most frequently used devices to capture human bones. An X-ray can capture images of any bone in the body [2]. Image processing has attained the widespread domain, the engineering world witnesses its advancements; and also it reached to the public [4]. The use of...
Edge detection is considered as one of the most commonly used operations in image processing and pattern recognition, the reason for this is that edges form the outline of an object. From this perspective, more developed edge detectors have been proposed to allow not only to detect boundaries but also try to connect neighbor in edge points into an edge. In this work, we explore the method of edge...
This article reviews and discusses the fuzzy system implementation as an efficient edges detector for the image. Authors that suggested this method used different ways to feed the fuzzy system and different membership functions that depend on the characteristics of the data input. Some techniques feed the data directly with a 2×2 or 3×3 window others process the data with filters before feeding the...
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.