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.
This paper presents a novel image edge detection method based on a simplified pulse coupled neural network with anisotropic interconnections (PCNNAI) by applying an anisotropic linking mechanism. PCNNAI utilizes the anisotropic linking mechanism to create an adaptive synaptic weight matrix to achieve the anisotropic interconnection model among neurons. Therefore, the neurons corresponding to edge...
This paper presents a new method to measure retinal blood vessel with sub-pixel accuracy. The method is based on a modified Canny edge detection method with a bilateral filter. There are three stages of the method. First, the bilateral filter is used to remove the vessel background noises, and then the Canny detector is used to detect all vessel edges. Second, vessel sample profiles crossed vessel...
The design and implementation of Medical Image Archiving, Processing, Analysis and Communication System for Teleradiology which DICOM server was developed using software such as Borland Delphi 6.0, PHP and MySQL for image archive, image compression, image processing, image analysis and image transmission. The system provides the following facilities: (1) DICOM-format image archive. (2) Medical Image...
The adaptive weighting based on the intensity variations of the neighbor pixels and the distance between the neighbor pixels and a pixel to be interpolated is proposed for the edge-based deinterlacing method. The local edge direction is first determined by the modified edge-based line averaging (MELA) method. Then, according to the local edge direction, the inverse distance and intensity variation...
In this paper, we propose a novel region grouping approach to shape matching. It is proposed as an alternative region based approach to the traditional edge based shape matching using distance transforms. It has the advantage of obtaining a higher detection rate and obtaining meaningful object segmentation simultaneously. Each image is first segmented into image regions, and possible matches are found...
For a Driving Assistance System, which is designed to improve safety on the roads, knowledge about the type of lane border markings and other painted road objects is required. Furthermore, information about the position of the painted objects can be used by other systems to create a correct perception of the road. This paper describes a Lab VIEW based system for detection, measurement and classification...
We present a new method for detecting ellipses in images. We first detect edges, from which we select an elliptic arc by RANSAC: we randomly choose five points repeatedly until the ellipse they define closely passes through a maximum number of edge points. Those points are regarded as constituting an elliptic arc. We repeat this procedure and detect multiple elliptic arcs. Then, we integrate those...
Shadow detection is a critical issue for most applications of video surveillance. In this study, we present an object-wise online learning method to detect casting shadows without providing any priori scene information or threshold parameters. Hue, saturation, and intensity- difference histograms of moving objects are collected to learn a cumulative distribution separately. The accumulating strategy...
In this paper, a simple method for the facial expression detection to identify the normal and unusual of expression variations of the human face is proposed. The approach uses the binary edge image to present the shape of facial expression. The modified Hausdorff distance measure is adapted to our approach to compare between the unusual and normal face expression. In our algorithm, it just needs to...
A new algorithm for camera shake removal from a single image is presented. The motion blur point spread function (PSF) is represented in terms of the camera's angular velocity, which is in turn approximated by a linear function of time. Edge spread functions are estimated from isolated edges within the image, and the information along different directions is combined in an optimization procedure to...
Ant Colony Optimization (ACO) is a group of algorithms inspired by the foraging behavior of ant colonies in nature. Like their biological counterparts, a colony of artificial ants is able to adapt to the changes in their environment, such as exhaustion of a food source and discovery of a new one. In this paper, one of the basic ACO algorithms, the Ant System algorithm, was applied for edge detection...
This paper presents an edge detection method brought to videogrammetric systems for micro-platform. As the motion precision of platform has a direct impact on the process of precision, so the edge detection in the visual measurement process is also particularly important. The algorithm has a good ability of anti-interference, and the image which been detected is smooth, neat and it always be with...
PET and CT image registration is an important tool of clinical diagnosis of diseases. For PET and CT images, a preprocessing algorithm of medical image registration is proposed in this paper. The algorithm process includes image normalization, CT image adaptive threshold adjustment and automatic extraction of tissues based on morphology, edge detection and statistical analysis theory, and improved...
This paper presents a method which based on Fourier-Mellin transform registration algorithm to rotate the archaic epigraph images correction without reference object. In our research range, we improve the traditional methods of edge detection based on the characters of archaic epigraph images, propose the block edge detection method and the multi-scale edge detection method based on Wavelet Transform...
According to the automatic verification of float flowmeter problems, we put forward a device, and it can acquire float height. An MVC - II - 1MM camera is used to capture flowmeter images, and saves them in computer in the form of BMP files. By some functions, such as the edge detection, filtering, binary, expansion, refined, etc, and other algorithms programmed by specific characteristics the float...
Remote Sensing image registration plays an important role in image processing. The exact corner detection is vital to image registration. A modified SUSAN corner detection algorithm based on adaptive gradient threshold is presented. Ensuring the gray threshold automatically is the key of the new algorithm. First, the Traditional SUSAN principle and the new algorithm are discussed carefully. Then,...
Luminance edges are classified into reflectance edges and illumination edges. Most of the edge detection papers published focus on reflectance edges detections, whereas only few of them deal with illumination edges. In this paper, a new approach to detect illumination edges in grayscale images is proposed. Differing from the conventional illumination edge detection techniques, which were mostly based...
Wavelet transform has been successfully used in many applications such as image compression, image denoising, and computer vision. Recently, the research of image denoising focused on developing some new method which can represent the edge of image more efficiently. Ridgelets is a new system of representations, which deals effectively with line singularities in 2-D. In this paper, a simple algorithm...
It is proposed that an efficient and fast image compression scheme based on all level curvelet coefficients with SPIHT (Set Partitioning in Hierarchical Trees). For images with textures, the high frequency wavelet coefficients are likely to become significant after several code passes of SPIHT, which degrades the coding performance. The basic flaw that wavelet transform exhibits, is its inability...
Two steps were taken to extract image feature points. One is to use some image processing technology to improve image quality, namely the image preprocessing, second is the accurate extraction of the characteristic point and lines. An improved Harris corner detection operator and sub-pixel corner detection feature extraction were implemented for the accident scene calibration object to improve 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.