Pixel force field (PFF) is a novel image representation where at each pixel a two-dimensional vector is defined for representing interaction of pixels. The vector is oriented to the center of the region composed of pi...
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ISBN:
(纸本)0769525210
Pixel force field (PFF) is a novel image representation where at each pixel a two-dimensional vector is defined for representing interaction of pixels. The vector is oriented to the center of the region composed of pixels having the same qualitative property, such as color and gray-scale level. Using the pixel force field and improved live-wire segmentation technique the task of interactive road extraction from remotesensingimages is solved.
This paper presents two methods to fuse a low spatial resolution multispectral image and a high spatial resolution panchromatic one to produce a new multispectral image with high spatial resolution. First, the Poisson...
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ISBN:
(纸本)0769525210
This paper presents two methods to fuse a low spatial resolution multispectral image and a high spatial resolution panchromatic one to produce a new multispectral image with high spatial resolution. First, the Poisson fusion method is developed based on minimizing the gradient difference between the synthesized image and the panchromatic image with boundary conditions sampled from the multispectral image. The fusion result can therefore be achieved by solving the Poisson equation with Dirichlit boundary conditions. Secondly, an optimal fusion technique, which minimizes the gradient difference and the color difference with respect to the panchromatic and multispectral images respectively is given and the result is induced by an iterative optimization algorithm. Both of them can be applied to color composites and individual bands. Their advantages of the fidelity to spectral property and the spatial resolution improvement over the HSI, Brovey, PCA and wavelet transform are convincingly demonstrated in the experiments from visual evaluation and statistical analysis.
The defect inspection that used imagesensing such as automated pattern inspection is a useful solution to automatize the visual check, not limit to factory automation field. Mostly such defect inspection is using the...
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ISBN:
(纸本)0769525210
The defect inspection that used imagesensing such as automated pattern inspection is a useful solution to automatize the visual check, not limit to factory automation field. Mostly such defect inspection is using the models of defect that described by primitive features. This paper proposes a new defect detection method that is the non-model based approach. In this approach, the method extracts the image description rule from local regions. It is useful for the defect inspection problems that cannot prepare a defect model such as scratch or superimpose detection, texture image analysis, etc. In the experiment, I tiled the defect detection to the landscape picture which several types of superimpose were added. From these results, it was confirmed that the proposed method has high ability to detect the defected regions independently with the texture type. Furthermore, I attempted the application to a scene image. Therefrom, the possibility to apply the figure-ground separation of the image understanding basic problem was confirmed.
In this paper, we propose a methodology for the optimal design of bi-orthogonal wavelet basis for maximum possible texture discrimination. The objective of this optimization process is to obtain maximum separation bet...
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ISBN:
(纸本)0889865477
In this paper, we propose a methodology for the optimal design of bi-orthogonal wavelet basis for maximum possible texture discrimination. The objective of this optimization process is to obtain maximum separation between local features of the texture image at different resolution scales. There are several applications which may not require reconstruction of signal from its transformed coefficients such as texture analysis, remotesensing, medical diagnostics etc. Therefore, for such applications, features are extracted at different frequency resolution scales and condition for perfect reconstruction can be relaxed. In this research work, we propose a methodology for the optimal design of bi-orthogonal wavelet bases. Our objective function is based on maximization of distinguishibility function involving the computation of finer details subject to some wavelet constraints. Classification results of optimized wavelet were compared with the existing maximally flat biorthogonal wavelet families which shows that the results obtained are superior in terms of texture discrimination.
The symbology of the QR Code and the traditional techniques for recognizing the finder pattern of the QR Code were introduced and the disadvantages of these techniques were analyzed. Based on the symmetry of the finde...
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ISBN:
(纸本)9780819465290
The symbology of the QR Code and the traditional techniques for recognizing the finder pattern of the QR Code were introduced and the disadvantages of these techniques were analyzed. Based on the symmetry of the finder pattern of the QR Code, an algorithm for locating the center of the finder pattern was proposed. By this algorithm, the center of the finder pattern of the QR Code can be located accurately even though one module of the QR Code image occupies only 2.8 pixels or the image is skewed seriously or the image is illuminated not uniformly.
Hydrography and cartography is an important part of Geoinformatics, and it is the basic technology of ocean resource exploitation and utilization. In this paper some new techniques development situation of hydrography...
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ISBN:
(纸本)9780819465290
Hydrography and cartography is an important part of Geoinformatics, and it is the basic technology of ocean resource exploitation and utilization. In this paper some new techniques development situation of hydrography and cartography in China is introduced. The unification of marine and land datum, precision rectification of the marine remotesensingimages, satellite altimetry and remote depth, the ocean delimitation, virtual reality and patternrecognition etc. are discussed as principal research contents. The situation and multi-expressing of marine surveying information processing are expounded at last.
This paper focuses on the problem of semiautomatic extraction of building information from high-resolution satellite images covering urban areas. This information includes buildings height, 2-D structure, and variatio...
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ISBN:
(纸本)9780819465283
This paper focuses on the problem of semiautomatic extraction of building information from high-resolution satellite images covering urban areas. This information includes buildings height, 2-D structure, and variation detection. An increasing number of applications require accurate and up-to-date cartographic and 3-D data. We introduce a set of accurate and automatic algorithms based on high-resolution remotesensingimagery such as Quickbird. Our method exploits the relationship between buildings height and their shadow in satellite images. Firstly we use our multiple-restriction method to extract the shadow information. Then we can adopt their relationship to compute building height information. In the process of building 2-D information extraction we introduce a new method about morphology used to do edge detection. After that we utilize the methods including imageprocessing, image analyzing, and patternrecognition to detect building 2-D structure. Based on the statistical skewness of image we introduce the conception of variation coefficient. Using this algorithm we can make sure the geographic position of variation detection easily and quickly. Our method involves thresholds, most of them tuned with respect to practical situation and the physical characteristics of the image. Results are shown and discussed on different images.
Nowadays multichannel (multi and hyperspectral) remotesensing (RS) is widely used in different areas. One of the basic factors that can deteriorate original image quality and prevent retrieval of useful information f...
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ISBN:
(纸本)0819463949
Nowadays multichannel (multi and hyperspectral) remotesensing (RS) is widely used in different areas. One of the basic factors that can deteriorate original image quality and prevent retrieval of useful information from RS data is noise. Thus, image filtering is a typical stage of multichannel image pre-processing. Among known filters, the most efficient ones commonly require a priori information concerning noise type and its statistical characteristics. This explains a great need in automatic (blind) methods for determination of noise type and its characteristics. Several such methods already exist, but majority of them do not perform appropriately well if analyzed images contain a large percentage of texture regions, details and edges. Besides, many blind methods are multistage where some preliminary and appropriately accurate estimate of noise variance is required for next stages. To get around aforementioned shortcomings, below we propose a new method based on using inter-quantile distance and its minimization for obtaining appropriately accurate estimates of noise variance. It is shown that mathematically this task can be formulated as finding a mode of contaminated asymmetric distribution. And this task can be met for other applications. The efficiency of the proposed method is studied for a wide set of model distribution parameters. Numerical simulation results that confirm applicability of the proposed approach are presented. They also allow evaluating the designed method accuracy. Recommendations on method parameter selection are given.
Stokes images in the long-wave infrared (LWIR) and methods for processing polarimetric data continue to be areas of interest. Stokes images which are sensitive to geometry and material differences are acquired by meas...
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ISBN:
(纸本)0819462969
Stokes images in the long-wave infrared (LWIR) and methods for processing polarimetric data continue to be areas of interest. Stokes images which are sensitive to geometry and material differences are acquired by measuring the polarization state of the received electromagnetic radiation. The polarimetric data from Stokes images may provide enhancements to conventional IR imagery data. It is generally agreed that polarimetric images can reveal information about objects or features within a scene that are not available through other imaging techniques. This additional information may generate different approaches to segmentation, detection, and recognition of objects or features. Previous research where horizontal and vertical polarization data is used supports the use of this type of data for imageprocessing tasks. In this work we analyze a sample polarimetric image to show both improved segmentation of objects and derivation of their inherent 3-D geometry.
We propose a novel region-based approach for building detection in high-resolution satellite image with densely build-up buildings. In our method, first the prior building model is constructed with texture and shape f...
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ISBN:
(纸本)9781424404810
We propose a novel region-based approach for building detection in high-resolution satellite image with densely build-up buildings. In our method, first the prior building model is constructed with texture and shape features from training building set. After over-segmentation of input image into many small regions, we identify regions which have a similar pattern with prior building model. These regions are called building like regions (BLRs). Then we group BLRs to get candidate building regions (CBRs), which have similar shape with prior building model. Next, lines which have strong relationship with each CBR are extracted. From these lines and CBR boundaries, 2-D rooftop hypotheses are generated. At last, shadows and geometrical rules are used to verify the hypotheses. Experimental results are shown on area with hundreds of buildings.
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