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.
Fully convolutional network (FCN) has been successfully applied in semantic segmentation of scenes represented with RGB images. Images augmented with depth channel provide more understanding of the geometric information of the scene in the image. The question is how to best exploit this additional information to improve the segmentation performance.,,In this paper, we present a neural network with...
Melanoma is one of those skin cancers whichcan be fatal. So, the segmentation of lesions from the digitalimages becomes a crucial step in analysis and diagnosis of askin cancer using image processing techniques. This workproposes a technique for automatic segmentation of lesionfrom the digital dermoscopic images using adaptive thresholdmaking the process invariant and robust. The statisticalfeatures...
In this paper, we presented a hybrid method to distinguish normal brain tissue from lesion regions based on the T1-weighted and T2-weighted MR images of the same anatomic structure. Regions of interest were extracted using an iterative Otsu's thresholding method with normal brain tissue extracted from T1-weighted MR images, and lesion regions extracted from T2-weighted MR images. Markov random field...
Wood defect detection has an important influence on the automation of wood industry. In view of the complexity of wood defect segmentation, this paper proposes the hybrid algorithm of genetic algorithm and particle swarm optimization algorithm. Firstly, the contrast of the image is enhanced by the linear transformation function. Then, applying genetic algorithm and particle swarm-genetic hybrid algorithm...
Growth and characterization of GaAs/AlGaAs core-shell nanowires (NWs) are reported. Using the VLS (vapor-liquid-solid) mechanism, GaAs NWs oriented perpendicularly to the substrate were grown on GaAs (111) B substrate. Using the metalorganic chemical vapor deposition (MOCVD) growth mode, AlGaAs shells were grown on GaAs NWs sidewalls. Single crystal and pure zinc-blende structure are achieved for...
This article proposes a method to identify fractures in human X-ray photos. According to the characteristics of X-ray image, the high-order statistical moments adopted to verify segmentation have been combined with partial threshold method to segment bone image. After the segmentation, mathematical morphology will be applied to extract the target border and cover the boundary of fractures. By superposing...
Considering the features of virtual human images, a Laplacian operator based level set algorithm and the analytic expression of level set equation is deduced. The algorithm is implemented using narrow band method numerically. The algorithm combines the advantages of Laplacian operator which can orient the boundary accurately and the idea that level set method continuously evolves the boundary in image...
As the dynamic range of the targets in X-ray images of feet is wide, and the overlapping interval of the background gray value and the target is large, this article comes up with a bone-image segmentation method in X-ray pictures of feet. First of all, composite enhancement will be applied, then the distribution features of target will be exploited to carry out a dynamic partition, finally density...
A method of detection and localization in lip-reading system based on least square fitting and two stage ellipse fitting was proposed in this paper. Firstly, color space transformation in simple background facial images was made to simply and fast detect skin regions and get threshold for segmenting lip area; secondly, according to two stage ellipse fitting based on least square, lip image are gained...
Couinaud's classification of liver anatomy has been widely accepted in practice. However realizing this classification effectively is not an easy task. In this paper, a simplified segment method based on the hepatic vessel tree is proposed. This method contains four main steps: vasculature segmentation, 3D thinning, vascular tree pruning and classification, vascular projection and curve fit. The first...
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.