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 feature is one kind of very important feature in multi-source remote sensing image registration and is the foundation of image registration based on edges. An algorithm is proposed, which makes full use of tensor voting and multiresolution algorithm to extract the large edges of remote sensing images, and combines the accurate localization of the tensor voting in high resolution and the anti-noise...
A pyramid approach for remote sensing image registration based on mutual information and grey relational analysis is presented. The methodology applies edge information of image extracted using grey relational analysis and combines with mutual information regarding as similarity measure. First, the image pyramid is constructed by wavelet transform, and then coarse-to-fine multi-resolution search approaches...
To make up for the lack of concern on spatial information in conventional mutual information based image registration framework, this paper designs a novel registration algorithm based on the SAM information of multi-scale Harris corners (CSAM for short). First, the multi-scale contour is extracted, and multi-scale Harris corner detector is added to acquire the estimated transform parameters; and...
Background modeling is a key step of background subtraction methods used in the context of static camera. The goal is to obtain a clean background and then detect moving objects by comparing it with the current frame. This paper describes a novel fuzzy approach for moving object detection which is capable of processing images extremely rapidly and achieving high detection rates. This work integrates...
Motion detection is a fundamental and important part of many visual tracking systems and of other computer vision applications. In this paper, we present a robust and effective motion detection method for detecting foreground moving objects even with quick lighting changes and shadows in scenes. The proposed approach integrates YCbCr color features with texture by a fuzzy method based on Choquet integral...
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.