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Classification is one step of image processing which aims to obtain information from remote sensing data. Object oriented classification is a classification algorithm which can be used to process a high resolution image because it uses the object elements as spectral, spatial, and texture. The purpose of this study is to examine the application of object oriented classification on two types of images...
In the article a vision system for shape and colour recognition of dishes (plates, bowls, mugs), which can be used to automate the process of customer service in a self-service canteen is described. In consists of three basic components: object segmentation using so-called background model subtraction, shape recognition using geometric invariant moments and SVM classifier, as well as colour recognition...
We propose a robust real-time person detection system, which aims to serve as solid foundation for developing solutions at an elevated level of reliability. Our belief is that clever handling of input data correlated with efficacious training algorithms are key for obtaining top performance. We introduce a comprehensive training method based on random sampling that compiles optimal classifiers with...
In this paper we present a novel way of applying Zernike moments for image matching. Zernike moments are obtained from projecting image information under a circumscribed circle to Zernike basis function. However, the problem is that the power of discrimination may be reduced because hand images include lots of overlapped information due to their shape characteristic. On the other hand, in the pose...
Devices equipped by touch screens are nowadays widely diffused. One of the most meaningful factor which leads to this success is their easy and intuitive interface which allows a friendly user-device interaction. Touch shape recognition is a topic which has contributed to the realization of these types of interfaces. In this paper we propose a solution able to discriminate among different classes...
Plants are fundamental for human beings, so it's very important to catalog and preserve all the plants species. Identifying an unknown plant species is not a simple task. Automatic image processing techniques based on leaves recognition can help to find the best features useful for plant representation and classification. Many methods present in literature use only a small and complex set of features,...
The inherent nondeterminism present in reduction operations on an exascale system, coupled with the nonassociativity of floating-point arithmetic, makes achieving reproducible results difficult or impossible. Work investigating the irreproducibility phenomenon has generally proceeded along one of two veins: (1) development of algorithms that produce reproducible numerical results irrespective of nondeterminism...
The tracking and forecasting of cloud is very important for ultra-short term photovoltaic power forecast with sky images. To recognize clouds deformation and tracking clouds motion in sky images, an optimization model is constructed in this paper. In a binary sky image, the shape and position of a cloud can be represented by a set of coordinates of cloud border points, and the deformation and motion...
In modern industrial applications driven by Cyber-physical systems (CPS) it is a challenging task to model and optimize processes such as machine analysis and diagnosis. Since the CPS have to act autonomously, a procedure for automated decision making has to be designed. In our work we concentrate on the design of a decision procedure by a fuzzy classifier approach. For our application on decision...
This paper describes a circuit-oriented leapfrog alternating direction implicit (ADI) method applied to a simulation of a power delivery network (PDN). An equivalent circuit model of the PDN is derived by using a recently-proposed conformal modeling technique, in which orthogonal meshes are used along with a treatment to improve the accuracy of the model. Since the conformal equivalent circuit model...
By using online measurement and inspection, the efficiency of production in product manufacturing can be greatly improved. However, most of the available methods for the measurement and inspection of parts are offline in practice, which results in either time consuming or expensive inefficiencies. In this paper, a vision-based inspection approach is proposed, which is designed to measure and inspect...
According to the shadows and shading constraints in the Lambert illumination model, the paper proposes a method to detect image forgery. This method describes a multitude of constraints in shading and shadows based on the direction of the light source, by analyzing the intersection of the wedges to verify the images. The linear programming problem is employed to confine the direction and angle in...
Fuzzy rule interpolation is one of the tools for reducing computational complexity of fuzzy systems, and can be used when there are gaps in the knowledge base. These gaps can be natural, due to cost, or due to rule base reduction. The fuzzy interpolation methods are all descendent techniques of Kóczy and Hirota's linear interpolation. In this paper we provide a retrospective on the development of...
Recovering 3D depth from a single outdoor image is a basic problem in Computer Vision and Close-Range Photogrammetry. In this paper, an efficient depth estimation approach from a single outdoor image is presented. According to scene classification, depth of regions marked as sky, ground and vertical labels is respectively predicated. Firstly, a more accurate depth calculation model for ground regions...
Histograms of Oriented Gradients (HOG) feature has been successfully used in pedestrian detection and achieves high accuracy. This paper introduces a content retrieval algorithm based on improved HOG. The method has two steps which are adjusting the HOG structure by scanning the image with a sliding HOG window and reducing feature dimension by principle component analysis (PCA) technique. The experimental...
We develop an accurate 3-D matrix-free time-domain method independent of the element shape used for discretization. The accuracy and stability of the proposed method are shown to be theoretically guaranteed. No dual mesh is needed. The tangential continuity of the fields is satisfied across the element interface. Numerical experiments on unstructured 3-D meshes with arbitrarily shaped tetrahedron...
In this paper, we develop a new time-domain method that is naturally matrix free and independent of element shape used for discretization. No extra modification on traditional vector bases is required. Its implementation is straightforward. The accuracy and stability of the proposed method are shown to be guaranteed. Numerical experiments on a variety of unstructured tetrahedral meshes have validated...
Electrocardiogram (ECG) is a key diagnostic tool to visualize the heart's activity and to study its normal or abnormal functioning. Physicians perform routine diagnosis by visually examining the shapes of ECG waveform. However, automatic processing and classification of ECG data would be extremely useful in patient monitoring and telemedicine systems. Such realtime applications require techniques...
The tracking of moving biological cells in time-lapse video sequences is fundamental to further understanding biological processes. Automatic cell tracking techniques require accurate cell image segmentation; however, current segmentation techniques are susceptible to errors due to non-ideal but realistic cell image conditions, including low contrast typical of cell microscopic images. This paper...
This paper proposes a methodology for recognition of plant species by using a set of statistical features obtained from digital leaf images. As the features are sensitive to geometric transformations of the leaf image, a pre processing step is initially performed to make the features invariant to transformations like translation, rotation and scaling. Images are classified to 32 pre-defined classes...
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