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.
This paper presents a variational method for SAR image segmentation that unifies boundary- and region-based information into the geometric active contour model. A new Riemannian metric is introduced to construct region-based energy function derived by maximizing the geodesic distance of a new Riemannian metric in differential-geometric structure for spectral density functions. A heterogeneity indicator...
This paper presented an approach used Fully Convolutional Networks (FCN) to segment liver tumor in Computed Tomography (CT) images. In addition, using different characteristics of scan quality and tumor conspicuity among portal venous phase, arterial phase and equilibrium phase, we proposed an automatic liver tumor segmentation with Multiple Kernel Fully Convolutional Networks (MK-FCN). MK-FCN can...
The urbanization process changed the urban ecological land and consequently affected the quality of urban residents' environment, and it was very important to obtain urban ecological land cover information. In this paper, an object-oriented method was proposed to extract urban ecological land cover from the multiple-channel images acquired by Chinese Gaofen-1 (GF-1) satellite. Taking Beijing City...
Getting good viewpoints has been considered important for promoting the efficiency when investigating a model. Many view selection methods therefore have been proposed. In particular, measuring semantic meaning of the model features through segmentation is regarded more effective to get optimal viewpoints. Unfortunately, the semantic meanings of the model are usually obtained through experiences,...
Moving object detection is usually used in gray image, and the color image should be converted to gray images to achieve detection. However, the color object can't be described by simple gray information completely. In order to achieve automatic color moving object detection, the method based on automatic color clustering is especially proposed. Because the difference between adjacent pixels in an...
On the base of edge detection using the K-means algorithm and an improved ant colony optimization (ACO), a novel image segmentation algorithm is proposed. The proposed method can enhance advantages and avoid disadvantages of edge-based and clustering methods by embedding the clustering in edge detection, combining them in a novel way. Since the clustering centers are determined roughly using K-means...
Roof segmentation, i.e. separating building roofs, is a key step in deriving building models as it directly influences the precision and accuracy of the final building models. Even though various segmentation methods have been proposed, convincing and completing evaluations of the segmentation results are rarely discussed. This paper proposes several approaches to provide quantitative evaluation of...
The fingerprint image preprocessing is the premise and basis for fingerprint identification. It will directly influence the final outcome of fingerprint identification. In order to maintain and restore fingerprint ridge structures, and improve the noise immunity of fingerprint image preprocessing algorithm. In the paper, a method for getting direction image based on gradient is given. Using direction...
Abnormal behavior detection refers to the problem of finding patterns in data that do not conform to expected behavior. Detection of abnormal behavior is an important area of research in computer vision and is also driven by a wide of application domains, such as smart video surveillance. In this paper, we present a novel based-energy approach for abnormal behavior detection. Use an adaptive optical...
Robust and accurate handwritten character segmentation is the essential step for automatic Uighur word recognition on mobile phone. However, it's a hard work to do character segmentation due to Uighur's cursive style and other characteristics. In this paper, a hybrid multiple feature cooperation based algorithm is presented, the main characteristics of the proposed approach include: (1) A multi-feature...
There are some general procedures for image segmentation. One can apply different algorithms to create different clusterings of the data. Some clustering algorithms like k-means require initialization of parameters. Different initialization can lead to different data clusterings. In this paper, we explore the idea of evidence accumulation for combining the result of multiple clustering. Initially,...
Nowadays, the lung lobe segmentation is the most basic step in Lung CAD (Computer-aided diagnosis) and is playing an increasingly important role in the early diagnosis of lung diseases and the analysis of pulmonary functions. The key to achieving lung lobe segmentation is to detect and locate lung fissures. With the wide applications of HRCT (High-Resolution Computed Tomography), CT data with higher...
Segmentation of Immunohistochemical image plays an import part in quantitative assessment of immunohistochemical image. In this paper, an automatic segmentation method was proposed according to characteristics of color immunohistochemical images based on YUV color space. First, it extracts Y, U, V three-component diagram and then we discover that positive cells are distributed in the high gray areas...
Immunohistochemical color image segmentation has important application value for quantitative assessment of immunohistochemical image. In this paper, an automatic segmentation method was proposed according to characteristics of color immunohistochemical images. First of all, we established a Chromatics criteria in RGB space so that positive cells regional and negative cells region were separated automatically...
The CCD pixels nonuniformity may give a greater margin of error to measurement results in the high-precision CCD measurement and servo control system. The paper analyzes the image pixels nonuniformity caused by noises, and establishes the corresponding image model. Adaptive threshold value segmentation algorithm is used for image binarization. An algorithm using two point linear method for pixel nonuniformity...
In this paper, a procedure of edge detection for a high dynamic range image with damaged edge information is proposed. This procedure is based on a scheme of multiple filtering processes which does not include any segmentation of the image. Three different filtering processes are designed to generate three gradient maps, in each of which gradients are calculated and modulated by using a specific filter...
Taking Asian-Pacific robot contest as the background and robot vision system as the object of research, the target recognition arithmetic based on color information is introduced. It proposed eight connection clustering arithmetic based on color double thresholds in HSI color space. H-S double threshold is discussed deeply and pixels classed based on table is used, so calculating of image segmentation...
Ear detection is the most important step of an ear recognition system, and the detection effect of this step directly affects the performance of the whole recognition system. according to the structural characteristics of the ear itself, this paper makes improvement on the traditional AdaBoost algorithm in view of its deficiency. There are three key contributions in this paper. The first contribution...
Correctly counting the live cells plays a great role in the ectogenetic anti-virus experiment. According to the irregular shape and arbitrary size of the wall pasted Hela cells overlapping each other, we propose a scheme to segment and count the cells using Gabor filter with different parameters and morphological operation. Experiments reveal that filters with different parameters will lead to different...
Podaj zakres dat dla filtrowania wyświetlonych wyników. Możesz podać datę początkową, końcową lub obie daty. Daty możesz wpisać ręcznie lub wybrać za pomocą kalendarza.