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.
Segmentation of medical images has a lot of interferences because of the low contrast and fuzzy boundaries. It's hard to get perfect effect using present image segmentation methods, so we put forward an improved algorithm based on GrabCut and Gaussian mixture model (GMM) in this paper in order to obtain simplify interactive operation and better segmentation precision. We extend the GrabCut approach...
In order to realize texture image segmentation, a new texture segmentation method is presented. The method fused with Local Binary Pattern (LBP), Gray-level Co-occurrence Matrix (GLCM) and permutation entropy. After processing the texture image by the rotation invariant LBP operator, the LBP image can be obtained. Then co-occurrence matrixes can be calculated in the LBP image, some features which...
An efficient skew detection algorithm is proposed based on geometric constraint of license plate image. The highest of image outline would be treated as fundamental information to calculate the skew angle. Experimental results demonstrate that the algorithm proposed here has higher precision, faster speed and less computation.
This paper describes a novel region segmentation method designed to avoid complications of the threshold process used in traditional segmentation methods in 2-D optical coherence tomography (OCT) images. Analysis of the layers and regions in OCT images is used to diagnose the presence of cancer and identify the stage of the cancer if present. However, scattering during OCT images generates a speckle...
We present an automatic human background substitution system based on a Random Walk (RW) algorithm on a multi-core processing architecture. Firstly, a fast algorithm is proposed to solve the large linear system in RW based on adapting the Gauss-Seidel method. Two tables, TYPE and INDEX, are introduced to fast locate the required data for the close-form solution. Then, face detection along with a human...
Random Walk (RW) is a popular algorithm and can be applied to many applications in computer vision. In this paper, a fast algorithm is proposed to solve the large linear system in RW based on adapting the Gauss-Seidel method on a multi-core embedded system. Two tables, TYPE and INDEX, are introduced to fast locate the required data for the close-form solution. The computational overhead, along with...
An efficient method based on SSNF algorithm and threshold de-noising to remove the noise in the image is proposed. To the disadvantages of the unified threshold denoising method, which causes the image fuzzy distortion because of “over-killed”, by using inter-scale dependency of wavelets coefficients, some edge information that “overkilled” by the unified threshold are extracted and reserved, Thereby,...
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.