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.
Template matching is a widely used technique in many of image processing and machine vision applications. In this paper we propose a new as well as a fast and reliable template matching algorithm which is invariant to Rotation, Scale, Translation and Brightness (RSTB) changes. For this purpose, we adopt the idea of ring projection transform (RPT) of image. In the proposed algorithm, two novel suggestions...
The problem of finding a match for an image (`template') within a larger image is known as template matching. It is key to a variety of computer vision applications. Currently known template matching algorithms run in fixed time, or are guaranteed to find the best match. We present a novel algorithm which in many cases can guarantee that the best match is found. In other cases it finds a good approximation...
Efficiency image matching technology is very important to assembly product line based on machine vision. SIFT (scale invariant feature transform) descriptor is commonly used in image matching because of the good invariance of scale, rotation, illumination. But its algorithm is complicated and computation time is long. To improve SIFT algorithm real-time quality, the method of reducing similar measure...
Optical flow forms an important initial processing stage for many machine vision tasks. A framework is presented for the recovery of dense optical flows from image sequences containing large motions. Sparse feature correspondences are used to assign multiple optical flow hypotheses to each image pixel which are then independently refined to produce a further set of refined hypotheses. One final flow...
Locating the license plate in the image is a key initial step in automatic License Plate Recognition via machine vision. This step becomes more complicated when the image scene is arbitrary (complex) and the view-angle of camera and luminance conditions are not calibrated and constant. In this paper, a new License Plate Detection method in complex scenes is proposed. After removing regions that have...
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.