The Earth's surface and subsurface can be mapped with a very high resolution using synthetic aperture radar (SAR). It is an effective tool for remote sensing, since it works nearly independent from daylight and we...
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ISBN:
(纸本)0819418463
The Earth's surface and subsurface can be mapped with a very high resolution using synthetic aperture radar (SAR). It is an effective tool for remote sensing, since it works nearly independent from daylight and weather conditions. However, the huge amount of signal data difficults the on-board storage and the data downlink to the ground station. This paper presents a raw data compression algorithm using fuzzy logic, the fuzzy block adaptive quantizer (FBAQ), which improves the efficiency of the system. The data rate is reduced by a factor of 3 with a slight deterioration of the image quality. The performance of the FBAQ is compared with the traditional algorithm, a block adaptive quantizer and its hardware design for implementation in an airborne SAR system is shown.
Mathematical morphology, as originally described by Matheron and Serra, consists of the application of set theoretical operations between the image set X and a structure element set B. image skeletons are very efficie...
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ISBN:
(纸本)0819418447
Mathematical morphology, as originally described by Matheron and Serra, consists of the application of set theoretical operations between the image set X and a structure element set B. image skeletons are very efficient representations of shape, and can be directly derived using the morphological operations of erode and open. If done at full image resolution, derivation of a skeleton can be very time consuming without dedicated signalprocessing hardware. This paper presents an alternative to the standard approach that relies on morphological operations within the wavelet coefficient space. In particular, the skeleton transformation can be done very efficiently at the reduced resolution of the coarse wavelet coefficient levels. We investigate the relationship between waveletimage compression and morphological transforms for the derivation of skeletons. We also report the results of some experimental studies on binary and gray scale images.
We suggest a new solution to the problem of high-quality image compression; a new algorithm for gray-level image compression in the case of wavelet transform is proposed. It is based on the idea of embedding a model o...
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We suggest a new solution to the problem of high-quality image compression; a new algorithm for gray-level image compression in the case of wavelet transform is proposed. It is based on the idea of embedding a model of the human visual system directly inside the transform process in the multiresolution analysis. The mathematical aspect is described by Bertoluzza and Albanesi (see Proceedings of conference Mathematical Imaging: waveletapplications in signal and imageprocessingii, p.39, 1994) and it is briefly reviewed. The coding method used in the compression scheme is described, followed by some examples of the experimental results we have obtained.< >
Object recognition is often performed in an environment full of uncertainties. Typical factors are the imprecision introduced by the limitations of imageprocessing algorithms, the misinterpretation of the feature vec...
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ISBN:
(纸本)0819418463
Object recognition is often performed in an environment full of uncertainties. Typical factors are the imprecision introduced by the limitations of imageprocessing algorithms, the misinterpretation of the feature vector due to noise or occlusion, and the infinite variability of the object features due to continuous environment change as well as countermeasures. An integrated approach (statistical methods, multisensor fusion, and fuzzy logic) for automatic object recognition if presented in this paper. A fuzzy scene representation is proposed to cope with uncertainties. The features of the object and the background are obtained from both a priori knowledge and the data collected by a multisensor suite and then reconstructed for object recognition. A recognition scheme, based on fuzzy logic, has been developed to merge the information from multiple sources of differing resolution and confidence into a combined assessment of the object identity. It has been found that the fuzzy logic based information fusion architecture provides a platform to accommodate the output of different types of image/signalprocessing algorithms. In addition, it allows the input of the temporal scene development through an expanded feature vector. Details of the fuzzy scene representation and the recognition process are discussed. Experimental results are presented to show the potential of the approach.
We have previously presented the architecture and basic analytic results for a functional 1D pipelined hybrid optical/digital processing concept capable of generating a target range- doppler profile in real time. Here...
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ISBN:
(纸本)0819419214
We have previously presented the architecture and basic analytic results for a functional 1D pipelined hybrid optical/digital processing concept capable of generating a target range- doppler profile in real time. Here we address the fundamental system processing algorithm and hardware development issues in some detail. The approach to performing real-time phase correction of the individual range profiles is outlined, along with the basic system operational runtime algorithms and system processing pipeline. A description of the receiver hardware and its component functionality in terms of the presented operational theory is given as well.
wavelets have suddenly become very popular in signal analysis applications. They have become a darling topic in several fields: astronomy, imageprocessing, filtering, theoretical physics, and harmonic analysis, to na...
wavelets have suddenly become very popular in signal analysis applications. They have become a darling topic in several fields: astronomy, imageprocessing, filtering, theoretical physics, and harmonic analysis, to name only a few. This paper focuses on applications for wavelet analysis in accelerator engineering, specifically, signalprocessing. It is split into three parts; the first contrasts wavelet analysis with Fourier analysis, the second constructs a simple wavelet basis as a tutorial, the third demonstrates the analytic uses of wavelets with the help of a software analyzing tool.
wavelets and multi-rate filter banks are increasingly important tools for various digital imageprocessing (DIP) and image analysis tasks in addition to their traditional applications in one dimensional signal process...
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wavelets and multi-rate filter banks are increasingly important tools for various digital imageprocessing (DIP) and image analysis tasks in addition to their traditional applications in one dimensional signalprocessing. WaveTool, is an integrated software environment for rapid prototyping of wavelet-based algorithms. It is particularly attractive for signalprocessing because of its rich collection of filter bank choices, online multi-rate filter design, and interactive tree building. This paper presents a general overview of WaveTool with emphasis on its imageprocessing capabilities. Example applications to texture classification, seismic data compression, and image restoration are presented, and the future direction of WaveTool is discussed.
Texture has found many applications in computer vision. Examples where texture analysis methods are being used include: (i) classifying images and browsing images based on their texture;(ii) segmenting an input image ...
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California Polytechnic State University, San Luis Obispo (Cal Poly), completed an assessment of the potential of using video imageprocessing (VIP) systems for traffic surveillance and detection on California freeways...
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California Polytechnic State University, San Luis Obispo (Cal Poly), completed an assessment of the potential of using video imageprocessing (VIP) systems for traffic surveillance and detection on California freeways. The first phase of the project, sponsored by the California Department of Transportation (Caltrans), was completed in 1991. Eight turn-key and prototype systems were identified and tested under laboratory conditions. The results showed, that while no system tested was ready for deployment at that time, several systems warranted further testing under more realistic conditions. The second phase of the project began in June 1992 and was completed recently. Four VIP systems were chosen for extended field testing to measure accuracy in traffic counts and speeds, classification, reliability, cost, ease of set-up and operation, image quality, failure rate, and ease of recovery. These variables were assessed quantitatively and qualitatively under specific conditions that included variations of lighting, approaching and departing traffic, camera angle, weather, vibration, and presence of signal noise. This paper presents the Phase ii field test results and recommendations for standardizing imageprocessing systems with a view toward eventual statewide implementation for traffic detection.
Proposes an improved statistical characterization of the field of wavelet coefficients of natural images. Based on this characterization, the authors introduce morphological representation of wavelet data (MRWD), a no...
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Proposes an improved statistical characterization of the field of wavelet coefficients of natural images. Based on this characterization, the authors introduce morphological representation of wavelet data (MRWD), a novel coding framework for both image and video coding applications. MRWD departs from existing wavelet-based coders in its use of a radically different set of primitive operations-non-linear, morphological operations-for efficiently encoding the wavelet data field. Simulation results are very encouraging: a preliminary algorithm based on the morphological data structure is able to achieve about 0.5 dB of gain in SNR over Shapiro's (1993) state-of-the-art zerotree-based wavelet coder at a coding rate of 1 bpp for the "Lena" image.
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