Serwis Infona wykorzystuje pliki cookies (ciasteczka). Są to wartości tekstowe, zapamiętywane przez przeglądarkę na urządzeniu użytkownika. Nasz serwis ma dostęp do tych wartości oraz wykorzystuje je do zapamiętania danych dotyczących użytkownika, takich jak np. ustawienia (typu widok ekranu, wybór języka interfejsu), zapamiętanie zalogowania. Korzystanie z serwisu Infona oznacza zgodę na zapis informacji i ich wykorzystanie dla celów korzytania z serwisu. Więcej informacji można znaleźć w Polityce prywatności oraz Regulaminie serwisu. Zamknięcie tego okienka potwierdza zapoznanie się z informacją o plikach cookies, akceptację polityki prywatności i regulaminu oraz sposobu wykorzystywania plików cookies w serwisie. Możesz zmienić ustawienia obsługi cookies w swojej przeglądarce.
Semantic image segmentation is now an exciting area of research owing to its various useful applications in daily life. This paper introduces a hierarchical joint-guided network (HJGN) which is mainly composed of proposed hierarchical joint learning convolutional networks (HJLCNs) and proposed joint-guided and making networks (JGMNs). HJLCNs exhibit high robustness in the segmentation of unseen objects...
As a new biometric identification technology, finger-vein recognition technology is gathering more and more attention because it has some advantages such as: Non-contact, Live body identification, High security. In the finger-vein recognition system, there are many different characteristics matching algorithms after that the finger-vein vessel network has been segmented in the matching stage. In this...
Data clustering is an effective method for data analysis and pattern recognition which has been applied in many fields such as image segmentation, machine learning and data mining. It is the process of splitting the multidimensional data into several groupings or clusters based on some similarity measures. A cluster is usually defined by a cluster center. Generally, the information of the features...
This article describes the pavement crack detection system architecture shows the hardware options and rationale, as well as the system works. This paper uses the median of the road image de-noising filter. In contrast to edge detection sobel and prewitt operator to verify the validity and advantages of the sobel. Finally, in the crack after the image is binary, crack an image feature extraction and...
Efficiently, accurately and automatically positioning the ribs in CT images and giving tips of which rib it is on cross-sectional plane will be very helpful for doctor's clinical diagnosis. This paper presented a new method of automatic rib positioning and extraction in CT images. According to the anatomical characteristics of ribs, the first rib will presents as a sloping line gradually when we slice...
Image-based functional analysis of the kidney plays an increasingly important role in the clinical application. Efficiently and accurately segment the renal cortex and the medulla in MR images will be very helpful for doctor's clinical diagnosis. This paper proposed a semi-automatic segmentation method of renal cortex and medulla based on dynamic magnetic resonance (MR) images of pigs. This segmentation...
Considering a "target" image with complex scene, a novel method for regionally transferring colors from a set of "source" color images to the complex "target" image is presented. An improved EM (expectation-maximization) algorithm is first adopted to approximately model the regional color distribution of the target image by using Gaussian mixture model (GMM); trained...
Active Appearance Models (AAMs) is a deformable model based on statistical information, and also is an efficient method of image segmentation by extracting the features of the image. Its statistical analysis is Principal Component Analysis (PCA). PCA only takes into account the second order statistical information, which doesn't include the phase information, so it is difficult to extract the local...
The registration of multimodality images is a fundamental task in numerous applications in medical image processing. This paper presents recent work in registration of 2- D images using the Mutual Information. This work is part of developing a system for medical image processing. The registration uses methods from the Insight Software Toolkit (ITK), which provides a public domain and open source implementation...
In this paper, we propose a modified multiphase Chan-Vese model which is applied to the medical image segmentation of knee joints. Firstly, according to the anatomical structures and intensity distributions of knee joints in horizontal section, we present a new energy functional to keep the evolving curves just as the same relative location as the initial ones. This measure corrects the mistakes during...
Based on the anatomical consistency in two series MRI images of a patient in different postures, an algorithm computing a spatially intersectant line of two images from each series is proposed. Furthermore, the anatomical corresponding section of 3D datasets formed by these series can be located. Finally, the datasets are 3D visualized with VTK (Visualization ToolKits). This would be of great help...
A novel and more effective algorithm used for segmenting pulmonary nodules in thoracic spiral CT images was presented. The algorithm is based on mean shift clustering method and CI (Convergence Index) features, which can represent the multiple Gaussian model of pulmonary nodules both for solid and sub-solid, substantially. The algorithm has the following steps: (1) calculating the CI features of all...
The accurate segmentation of pulmonary nodules lays the foundation for distinguishing malignant from benign pulmonary nodules. In this paper, a robust and automatic algorithm is proposed to segment lung nodules slice-by-slice in three dimensional (3D) Computed Tomography (CT) images. A nonparametric estimation method called Mean-Shift (MS) algorithm was applied to segmenting lung nodules. It is critical...
Podaj zakres dat dla filtrowania wyświetlonych wyników. Możesz podać datę początkową, końcową lub obie daty. Daty możesz wpisać ręcznie lub wybrać za pomocą kalendarza.