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Classification of Land Use Land Cover (LULC) data from satellite images is extremely remarkable to design the thematic maps for analysis of natural resources like Forest, Agriculture, Water bodies, urban areas etc. The process of Satellite Image Classification involves grouping the pixel values into significant categories and estimating areas by counting each category pixels. Manual classification...
Image segmentation is an important step in image processing. Most of the segmentation methods are parametric and the results of segmentation depend on the correctness of the estimated parameters. In case of supervised segmentation, a priori knowledge is needed for successful segmentation. So, nonparametric and unsupervised segmentation method is used when a priori information is not available. Kohonen's...
Motion detection is a vital part of vision systems, either biological or computerized. Conventional motion detection methods in machine vision can differentiate moving objects from background, but cannot directly handle different types of motions. In this paper, we present Genetic Programming (GP) as a method which not only removes relatively stationary background, but also can be selective on what...
The complexity of hand function is such that most existing upper limb rehabilitation robotic devices use only simplified hand interfaces. This is in contrast to the importance of the hand in regaining function after neurological injury. Computer vision technology has been used to identify hand posture in the field of Human Computer Interaction, but this approach has not been translated to the rehabilitation...
Texture analysis plays a vital role in remotely sensed image classification as every pixel is going to be classified based on the collective pixel values of neighborhood. The result thus obtained gives increased classification accuracy. In this paper, a modified texture model obtained by modifying Multivariate Local Binary Pattern (MLBP) texture model is used for classification in remotely sensed...
Image super-resolution is the process by which additional information is incorporated to enhance a low resolution image thereby producing a high resolution image. In the simplest case super-resolution of a single image is a process of obtaining high-resolution image with more number of pixels with more resolving power. Therefore the super-resolved image should demonstrate an improvement in the perceived...
Quality-of-service (QoS) management often requires a continuous monitoring service to provide updated information about different hosts and network links in the managed system. However, it is a challenging task to achieve both scalability and precision for monitoring various intra-node and inter-node metrics (e.g., CPU, memory, disk, network delay) in a large-scale hosting infrastructure. In this...
Background subtraction methods are widely exploited for moving objects detection in surveillance video sequences acquired by static camera. Gaussian Mixture Model (GMM), whose convergence speed is rather slow, can be used to model the background of complex scene. This paper adds virtual Gaussian component into GMM and optimizes the updating process of parameters in GMM, in order to increasing the...
Edge detection is an important task in computer vision. This paper describes a global approach to edge detection using genetic programming (GP). Unlike most traditional edge detection methods which use local window filters, this approach directly uses an entire image as input and classifies pixels directly as edges or non-edges without preprocessing or postprocessing. Shifting operations and common...
In this work, a pedestrian detection method based on adaptive boosting is proposed. The proposed method works on still images. The features utilized in the work are derived from Haar-like templates. An Adaboost classifier is utilized for both feature selection and classification. To show the effectiveness of the proposed algorithm, the system is trained by using Nicta Pedestrian Dataset and tested...
This paper proposes an efficient scheme for detecting different object classes in an imaging sensor network. The object detection system detects all the instances of objects (for which the classifier was trained) in the given image, regardless of their scales and locations. Therefore, the image can be thus seen as a set of sub-windows that are to be evaluated by the detector. The detector selects...
Face recognition is one of the most important tasks in computer vision and Biometrics. Texture is an important spatial feature useful for identifying objects or regions of interest in an image. Texture based face recognition is widely used in many applications. LBP method is most successful for face recognition. It is based on characterizing the local image texture by local texture patterns. In this...
This paper proposes a semantic inference approach, which utilizes a group of context-sensitive Bayesian networks to infer the semantic concepts based on different regional spatial relationships, i.e. disjoined, bordering, invaded by, surrounded by, near, far, right, left, above and below. Each Bayesian network performs the inference based on one kind of the regional spatial relationships. Finally,...
In order to improve and enforce environmental monitoring ability, especially in fields of large scale monitoring and dynamic monitoring, the Environmental Satellite will be launched in 2008 in China. Before the Satellite is launched, necessary pre-research work has to be done. Considering future ecological monitoring demand, we have paid more attention to land use/land cover classification method...
Classification of polarimetric SAR images based on the information provided by individual pixels cannot generally produce satisfactory results due to speckle. By introducing the spatial contextual information between adjacent pixels, a novel classification method, using support vector machine (SVM) and markov random field (MRF), is proposed in this paper. It consists of two steps: first, a supervised...
Measurement of blood vessel tortuosity is a useful capability for automatic ophthalmological diagnostic tools. Screening of Retinopathy of Prematurity (ROP), a disease of eye that affects premature infants, for example, depends crucially on automatic tortuosity evaluation. Quite a few techniques for tortuosity measurement and classification have been proposed, but they do not always match the clinical...
For intelligent video monitor system, how to detect the moving target accurately is a key problem needed to be solved. The problem is more serious when background is complex. This paper uses a method based on code book to segment the foreground and background to detect the moving targets under complex background. This method uses the threshold of the color distortion of and brightness distortion....
Evolutionary design has shown as a powerful technique in solving various engineering problems. One of the areas in which this approach succeeds is digital image processing. Image filtering represents a wide topic in 2D signal processing. In this case different types of noise are considered in the filtering process to restore the image quality that has been decreased by changing values of some pixels...
In literature several correlation filters have been proposed for image recognition. Traditionally linear correlation is applied among the images for this purpose, however, the operation is not robust when images are corrupted with non-Gaussian noise. In this paper we propose the use of morphological correlation combined with nonlinear filters for robust image recognition. Performance of the proposed...
In this paper, we propose an adaptive de-interlacing algorithm that is based on the degree of local complexity. Conventional intra-field de-interlacing methods which achieve good performance in terms of image quality have also higher computational burden; in addition, they show the different performance according to the ways of finding the edge direction. To develop a low-complexity de-interlacing...
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