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.
There are many uncertainties in image segmentation, which should be handled by theories and methods with uncertainty. Cloud model is a kind of effective method to handle uncertainty, which considers fuzziness, randomness and the connection of them. Image segmentation based on one-dimensional cloud model processes the one-dimensional grayscale histogram, and segments images using one-dimensional cloud...
Presented here is a highly accurate and computationally efficient algorithm suitable for slap fingerprint segmentation. The main advantages of this algorithm are as follows: 1)three-order cumulant is used to roughly segment the foreground; 2)frequency domain analysis is carried out in local areas to do binarization and fine segmentation; 3)cumulative sum analysis is applied to extract the knuckle...
Images captured in foggy scenes suffer from degraded contrast and colors. It's imperative to overcome the weather effects and make outdoor vision systems more reliable. This paper describes a fast algorithm to enhance the visibility of foggy scenes with solely a single image. Firstly, the thickness of the fog is estimated with a Gaussian filter and an intensity image, which is composed of the foggy...
In this paper, a new framework is proposed for autonomous universal surveillance based on video and audio data. ??Universal?? indicates no specification of targets of interest. Instead, regions of importance (ROIs) in a scene should be detected. Specifically, in the video domain, a frame-based main subject detection is proposed based on adaptive selection of low-level features. In the audio domain,...
In applications such as document understanding, only binary face images may be available as inputs to a face recognition (FR) algorithm. In this paper, we investigate the effects of the number of grey levels on PCA, multiple exemplar discriminant analysis (MEDA) and the elastic bunch graph matching (EBGM) FR algorithms. The inputs to these FR algorithms are quantized images (binary images or images...
This paper proposes a fast and robust algorithm for traffic sign detection and recognition. The algorithm includes two stages: traffic sign detection and recognition. In the first stage, Adaboost algorithm based red pixels model of speed limit sign in the Lab color space is built. Then the model is used to extract area of latent speed limit signs. After that, the improved Hough Transform is used to...
Through binocular vision the fast disparity image is often desired for many applications, but, stereo vision still is an on studying subject. It is hard to get the precisely result because of the complex of the vision task. Vertical edges of depth images are presented much information of the stereo scene for further image processing. We present an image processing technique that can fast estimate...
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.