In this article we report on aspects of the use of colour coded Pseudo Random Binary Arrays (PRBA's) to model three dimensional scenes. We will evaluate the accuracy and the robustness of the patternrecognition p...
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ISBN:
(纸本)0780337484
In this article we report on aspects of the use of colour coded Pseudo Random Binary Arrays (PRBA's) to model three dimensional scenes. We will evaluate the accuracy and the robustness of the patternrecognition phase in the process. Emphasis will be on the added value of the use of PRBA's as a tool to make the imageprocessing robust and highly noise insensitive.
Recently, the concept of "Multiple Classifier Systems" was proposed as a new approach to the development of high performance image classification systems. Multiple Classifier Systems can be used to improve c...
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In this paper we address a new approach to the remotesensing imaging problems for radar/sonar array imaging system stated and treated as ill-posed inverse problems of restoration the extended object reflected signals...
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ISBN:
(纸本)0819424838
In this paper we address a new approach to the remotesensing imaging problems for radar/sonar array imaging system stated and treated as ill-posed inverse problems of restoration the extended object reflected signals distorted in a stochastic scattering medium. The developed approach is based on combining the Bayesian estimation technique for signal restoration problems with constrained regularization technique for inversion of the signal formation operator of the stochastic measurement channel. To reduce the generic ill-posed imaging problem to its radar/sonar system oriented numerical version the experiment design methodology is applied. This results in the projection-dependent scheme for measured data that originates from limited number of sensors of a sparse array. Next, to alleviate the limitations on the absence of prior knowledge of the object signal the model-based assumptions for the desired image space are introduced. Model-based fusion of such diverse information on data sets and image space in a generalized constrained array imaging inverse problem is the first issue addressed in the paper. Optimal/suboptimal solution of this problem in the mixed Bayesian-regularization setting that results in the development of numerical technique for extended object imaging in scattering random media with improved spatial resolution is the second issue this paper addresses. Some computer simulation results are also provided to illustrate the proposed approach.
The papers submitted to the Sixth International conference on imageprocessing and Its Applications are presented. The issues considered include shape description and recognition;imageprocessing applications;texture;...
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The papers submitted to the Sixth International conference on imageprocessing and Its Applications are presented. The issues considered include shape description and recognition;imageprocessing applications;texture;image segmentation;neural networks;colour;inspection and document processing;filtering and morphology;medical applications;transport, security and remotesensing.
The European Concerted Action "COMPARES" (Concerted Action on COnnectionist Methods for Preprocessing and Analysis of remotesensing Data) was hmded within the Environment and Climate Programme of the Europe...
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Since the last few years some works have been presented, in open literature, in the field of SAR data analysis and information extraction. The more the SAR data become of common and routine usage, the more the need fo...
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ISBN:
(纸本)0819426490
Since the last few years some works have been presented, in open literature, in the field of SAR data analysis and information extraction. The more the SAR data become of common and routine usage, the more the need for automation of the interpretation and information extraction process increases. Alenia Aerospazio has started, in 1994, an R&D activity for the definition and implementation of a demonstrator of a system for SAR data analysis and automatic target recognition (ATR). The work has proceeded with the identification and selection of the basic tools for SAR image pre-processing (image co-registration, filtering, segmentation and backscattering reconstruction). The last step was the definition of the architecture of the ATR system. The considered architecture is based on a two-step process that can be run in sequence or separately. For single image input a rule-based system is considered. Rules for the identification of a predefined set of targets are under implementation. For a temporal series of input images a change-detection approach is considered. This last part of the work is in a preliminary stage: only the algorithm flow and routines identification task has been completed. The possible implementation of the system on a massively parallel computer is considered as a final goal.
In this paper, a model based recognition and classification method for surface texture of vegetation from aerial sequence of images is presented. The image sequences are assumed to be acquired by a video camera (RGB-C...
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ISBN:
(纸本)0819426547
In this paper, a model based recognition and classification method for surface texture of vegetation from aerial sequence of images is presented. The image sequences are assumed to be acquired by a video camera (RGB-CCD system) from an aeroplane, which moves linearly over the scene. The objects in the scenes being considered in this paper, are agricultural fields. The classes of agricultural fields to be distinguished are determined by the type of crop, e.g. potatoes, sugar beet, wheat etc. In order to recognize and classify these fields from aerial sequence of images, a common approach is in the use of surface texture. Here the Circular Symmetric Auto-Regressive(CSAR) random model is used for texture analysis. By manipulating the estimated value against its real value, the characteristics of a texture image may be determined. A hypothesize-and-verify algorithm is used for model recognition. Based on all kinds of models, classification for surface texture of vegetation from aerial sequences of images is realized.
Visual media processing is becoming increasingly important because of the wide variety of image and video based applications. Block rotation is an important operation in different image/video processing tasks such as ...
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ISBN:
(纸本)0819425885
Visual media processing is becoming increasingly important because of the wide variety of image and video based applications. Block rotation is an important operation in different image/video processing tasks such as graphics, fractal processing, pattern matching and image registration. remotesensing, medical imaging, computer vision, computer graphics, and video coding are typical applications of digital image rotation. However, a hardware implementation of the block rotation algorithm has not been realized and software implementation is slow. Hence, they are not suitable for real-time execution. In this paper, we propose a novel method for block rotation, which is fast and suitable for hardware implementation. The algorithm employs area based interpolation. Experimental results have shown the performance enhancement compared to classical interpolation algorithms at a similar level of complexity.
By propagating a vector for each pixel, we show that nearly Euclidean distance maps can be produced quickly by a region growing algorithm using hierarchical queues. Properties of the propagation scheme are used to det...
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This paper describes our initial investigations in applying artificial immune systems to feature segmentation in remotely sensed images. The current generation of commercial imaging satellites provides increased oppor...
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This paper describes our initial investigations in applying artificial immune systems to feature segmentation in remotely sensed images. The current generation of commercial imaging satellites provides increased opportunities for automated image analysis due to the large volume of high resolution imagery they will produce. Artificial immune systems (AIS) are successful in other patternrecognition tasks and have several similarities to the aerial image classification problem. We use an AIS for road pixel identification and observe several areas for further development.
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