image fusion is an important tool for remote sensing data processing technology, as many Earth observation satellites provide both high-resolution panchromatic and low-resolution multispectralimages. this paper prese...
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ISBN:
(纸本)9781424410651
image fusion is an important tool for remote sensing data processing technology, as many Earth observation satellites provide both high-resolution panchromatic and low-resolution multispectralimages. this paper presents a new image fusion method that combines IHS transform and curvelet transform. Experiments carried out on a Enhanced thematic Mapper Plus image show that the proposed method quantitatively outperforms state-of-the art image fusion methods, in terms of geometric, radiometric, and spectral fidelity.
作者：
Xu, KaiQin, KunLi, DerenWuhan Univ
Sch Remote Sensing Informat Engn Wuhan 430079 Peoples R China Wuhan Univ
State Key Lab Informat Engn Surveying Wuhan 430079 Peoples R China
Currently, cloud model has been successfully used in data mining, digital watermark and other fields. this paper proposes a new method of cloud synthesis which is the key technology of cloud model. Based on the new me...
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ISBN:
(纸本)9780819469502
Currently, cloud model has been successfully used in data mining, digital watermark and other fields. this paper proposes a new method of cloud synthesis which is the key technology of cloud model. Based on the new method, a novel image segmentation algorithm is proposed. Experiments show that the new method of cloud synthesis is more effective and appropriate for image segmentation, and the novel image segmentation algorithm is more effective and robust than the traditional image segmentation algorithms.
A new effective algorithm of speckle noise reduction was presented in the paper, which took the characteristics of the multiplicative of speckle noise and the complexity of fringe pattern into account explicitly. the ...
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ISBN:
(纸本)9780819469502
A new effective algorithm of speckle noise reduction was presented in the paper, which took the characteristics of the multiplicative of speckle noise and the complexity of fringe pattern into account explicitly. the relationship expressions are deduced between intensity and speckle noise from the intensity distribution of speckle pattern, which indicates that the intensity ratio is equivalent to the speckle noise ratio in a neighborhood. Due to the complexity and correlativity of fringe pattern information, it leads to the problems of uncertainties during the information processed, the algorithm of speckle noise reduction was built based on exponent entropy, and the approximation precision based on rough set was considered in order to preserve the detail information very well. the presented method has a preferable performance based on the integrated visual and quantitative comparison. Because the filter parameters are adaptively determined by the speckle noise coefficient in the local window, the presented method was able to remove the noise in fringe pattern, and simultaneously preserve its edge effectively. the presented algorithm is effective for the laser speckle noise of fringe pattern particularly.
作者：
Yi, YaohuaLiu, JuhuaYu, ChanghuiQin, QlanqingWuhan Univ
Sch Printing & Packaging 129 Luoyu Rd Wuhan 430079 Peoples R China Wuhan Univ
Sch Remote Sensing Informat Engn 2 Wuhan 430079 Peoples R China Wuhan Univ
State Key Lab Informat Engn Surveying Mapping & Remote Sensing Wuhan 430079 Peoples R China
In the workflow of image reproduction, the halftone image is usually used as scanned original image. the moire patterns are a result of intervention during the process of scanning. this paper provides a descreening me...
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ISBN:
(纸本)9780819469502
In the workflow of image reproduction, the halftone image is usually used as scanned original image. the moire patterns are a result of intervention during the process of scanning. this paper provides a descreening method of scanned halftone image based on wavelet according to the cause and the character of moire patterns. Experiment result shows that this descreening method can remove the moire patterns effectively and at the same time hold the definition and entropy of the scanned halftone image.
image segmentation is the prerequisite step for further image analysis. Segmentation algorithms based on clustering attract more and more attentions. In this paper, an image-domain based clustering method for segmenta...
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ISBN:
(纸本)9780819469502
image segmentation is the prerequisite step for further image analysis. Segmentation algorithms based on clustering attract more and more attentions. In this paper, an image-domain based clustering method for segmentation, called CSA-CA, is proposed. In this method, a scale parameter is introduced instead of an apriori known number of clusters. Considering that adjacent pixels are generally not independent of each other, the spatial local context is took account into our method. A spatial information term is added so that the near pixels have higher probability to merge into one cluster. Additionally, a clonal selection clustering operator is used so that a cluster is capable of exploring the others that are not neighboring in spatial but similar in feature. In the experiments we show the effectiveness of the proposed method and compare it to other segmentation algorithms.
Monocular Vision is widely used in mobile robot's motion control for its simple structure and easy using. An integrated description to distinguish and tracking the specified color targets dynamically and precisely...
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ISBN:
(纸本)9780819469502
Monocular Vision is widely used in mobile robot's motion control for its simple structure and easy using. An integrated description to distinguish and tracking the specified color targets dynamically and precisely by the Monocular Vision based on the imaging principle is the major topic of the paper. the mainline is accordance withthe mechanisms of visual processing strictly, including the pretreatment and recognition processes. Specially, the color models are utilized to decrease the influence of the illumination in the paper. Some applied algorithms based on the practical application are used for image segmentation and clustering. After recognizing the target, however the monocular camera can't get depth information directly, 3D Reconstruction Principle is used to calculate the distance and direction from robot to target. To emend monocular camera reading, the laser is used after vision measuring. At last, a vision servo system is designed to realize the robot's dynamic tracking to the moving target.
IR Scene simulation has been an important way to design and assess the IR sensor, and the key of simulation is the generation of IR scene image. Based on OpenGL, the method of IR image generation is proposed. the geom...
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ISBN:
(纸本)9780819469502
IR Scene simulation has been an important way to design and assess the IR sensor, and the key of simulation is the generation of IR scene image. Based on OpenGL, the method of IR image generation is proposed. the geometry model is constructed with professional CAD software, and the observer location is determined after scene transformation. the full infrared model of space target is built based on infrared physics and heat transfer, which includes the radiation, convection, conduction between different parts of the space target, and which also includes the radiation, convection of environment. Radiance of space target is converted to gray value, and properties of scene are defined according to the gray level. After a series of processing, dynamic IR images are generated withthe technology of double buffering.
the problem of image matching and target tracking based on singular value decomposition (SVD) is discussed. the SVD has robust performance that is invariant to image disturbance and it makes the singular value credibl...
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ISBN:
(纸本)9780819469502
the problem of image matching and target tracking based on singular value decomposition (SVD) is discussed. the SVD has robust performance that is invariant to image disturbance and it makes the singular value credible to represent the image as an algebraic feature. A template-updating strategy is proposed to update the current template based on the scale invariant character of the singular value vector. the updated template that contains the accurate target is adaptively acquired according to the singular value's scale invariance. Experiments are performed on a large test set and the results show that the proposed strategy is practical and efficient in target tracking.
the Synthetic Aperture Radar (SAR) is a promising sensor to obtain high-resolution images. But the presence of speckled noise brings many difficulties to SAR imageprocessing, especially in edge detection. the edge de...
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ISBN:
(纸本)9780819469502
the Synthetic Aperture Radar (SAR) is a promising sensor to obtain high-resolution images. But the presence of speckled noise brings many difficulties to SAR imageprocessing, especially in edge detection. the edge detection methods available cannot solve this problem perfectly. An effective edge detection algorithm based on the directional information is presented, in which, two transforms are introduced, one is Fast Slant Stack transform, a new radon transform withthe advantage of speed and invertibility, the other is Redundant Discrete Wavelet Transform(RDWT) whose best performance in edge detection is shift-variance characteristic. Besides, overlapped windows and soft threshold utilized to reduce the wrong detection probability and improve the location precision. Finally, comparisons with related methods are given in this paper. Experimental results prove the proposed algorithm can obtain valid edge information in SAR images.
A semi-blind image restoration approach is put forward in this paper for light-microscopy system. Microscope creates unavoidable light artefacts because of the Point Spread Function (PSF) of the optical system, and ou...
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ISBN:
(纸本)9780819469502
A semi-blind image restoration approach is put forward in this paper for light-microscopy system. Microscope creates unavoidable light artefacts because of the Point Spread Function (PSF) of the optical system, and our early research shows that PSF of the microscopy system can be modeled as isotropic Gaussian blur. that is the motivation of this paper. We present an algorithm, based on functional minimization, which integrates Canny edge detection with semi-blind deconvolution. An alternating minimization (AM) implicit iterative scheme is devised to recover the image and simultaneously identify PSF. Good performance is observed with numerically blurred images and really microscopic images, even under the presence of high noise level.
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