In this paper, a practical medical imageprocessing subsystem is introduced. This subsystem is a part of a 3-D Radiosurgery Treatment Planning System (RTPS) for X-Knife, which was designed and developed by us. The RTP...
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ISBN:
(纸本)0780342534
In this paper, a practical medical imageprocessing subsystem is introduced. This subsystem is a part of a 3-D Radiosurgery Treatment Planning System (RTPS) for X-Knife, which was designed and developed by us. The RTPS is used for clinical radioneurosurgery. It supplies a radiosurgery treatment designing tool with a visual interactive interface for doctors. A reasonable architecture is designed by integrating different functional modules. In these functional modules, some new algorithms were developed. The new algorithms in this paper include only tracing image contour and editing image contour used for reconstruction of 3-D medical image. The other new algorithms will be published later. The feature of the system is smart, feasible and precision. Now the system has been used in clinical practices.
The real-time detection algorithm of moving point target in image sequences is one of key algorithms in many real-time processingsystems. This paper presents a thoroughly analysis of a point-track predicting and matc...
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ISBN:
(纸本)0780377028
The real-time detection algorithm of moving point target in image sequences is one of key algorithms in many real-time processingsystems. This paper presents a thoroughly analysis of a point-track predicting and matching detection algorithm after a brief introduction of present algorithms of moving point target in image sequences. Based on the performance of simulation test, it is shown that the introduced algorithm can detect moving point target in image sequences effectively.
The imageprocessing mainly includes the image compression, the image filtering, the image sampling, the image segmentation and the image analysis. At present, the imageprocessing has an important role in many practi...
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ISBN:
(纸本)9783030152352;9783030152345
The imageprocessing mainly includes the image compression, the image filtering, the image sampling, the image segmentation and the image analysis. At present, the imageprocessing has an important role in many practical fields, such as the image recognition and the face recognition and so on. Its technical core is the imageprocessing. With the continuous expansion of the imageprocessing scale in these areas and the continuous improvement of the real-time performance requirements, how to improve the performance of the imageprocessingalgorithms has become a current research hotspot.
The theory of correlation filters does not make any assumptions about the sensor or image format. Thus the same class of algorithms is readily applicable to multiple sensor environments such as IR, SAR, LADAR, or CCD ...
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ISBN:
(纸本)081942921X
The theory of correlation filters does not make any assumptions about the sensor or image format. Thus the same class of algorithms is readily applicable to multiple sensor environments such as IR, SAR, LADAR, or CCD (visual). The advantage is that the same theory is valid for multiple sensor applications, the processing steps are common (and code) are re-usable in different sensor platforms, and the algorithms are rapidly re-trainable. The paper points out the key benefits resulting from the general formulation and solution resulting from the correlation approach to ATR.
To deal with the problem of restoring degraded images with non-Gaussian noise, this paper proposes a novel cooperative neural fusion regularization (CNFR) algorithm for image restoration. Compared with conventional re...
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To deal with the problem of restoring degraded images with non-Gaussian noise, this paper proposes a novel cooperative neural fusion regularization (CNFR) algorithm for image restoration. Compared with conventional regularization algorithms for image restoration, the proposed CNFR algorithm can relax need of the optimal regularization parameter to be estimated. Furthermore, to enhance the quality of restored images, this paper presents a cooperative neural fusion (CNF) algorithm for image fusion. Compared with existing signal-level image fusion algorithms, the proposed CNF algorithm can greatly reduce the loss of contrast information under blind Gaussian noise environments. The performance analysis shows that the proposed two neural fusion algorithms can converge globally to the robust and optimal image estimate. Simulation results confirm that in different noise environments, the proposed two neural fusion algorithms can obtain a better image estimate than several well known image restoration and image fusion methods.
An automatic locating algorithm is presented for typhoon center locating using cloud motion wind vectors derived from the satellite cloud images. The cloud motion wind vectors are obtained by implementing template mat...
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ISBN:
(纸本)0819452017
An automatic locating algorithm is presented for typhoon center locating using cloud motion wind vectors derived from the satellite cloud images. The cloud motion wind vectors are obtained by implementing template matching to a pair of interrelated satellite cloud images with stated time interval. The template matching is a process to find the child image that corresponds to the given pattern image in an unknown pattern image. Three matching algorithms are compared. Namely, the absolute difference matching algorithm, the sequential similarity detection algorithm and the infrared cross-correlation coefficients matching algorithm. The third one is selected to acquire the set of cloud motion wind vectors duo to its desirable vector results. Aiming at the specific typhoon cloud image, two simplifications are processed in the course of acquiring the cloud motion wind vectors. According to meteorological analysis, typhoon center motion has two important characteristics: (1) The translation in the central area is great while the spin is feeble. (2) The center moving direction is compatible to that of the whole typhoon clouds. According to these characteristics, the algorithm for automatically locating the typhoon center can be depicted as follows: firstly pick up the vectors that compatible to the whole typhoon cloud motion vectors in the cloud motion wind vectors image, then find out the thickest area of the satisfied vectors. lastly process the thickest area with mathematical morphology until there exists only one pixel point. The locating result shows that the thought in the paper is good and can be a promising application in the typhoon center location field.
In this paper, multiwavelets are considered in the context of image compression based on the human vision system (HVS). First, selecting the BSA (4/4)* filters, a two-dimensional image is transformed with our proposed...
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In this paper, multiwavelets are considered in the context of image compression based on the human vision system (HVS). First, selecting the BSA (4/4)* filters, a two-dimensional image is transformed with our proposed algorithm 1. Second, we apply HVS coefficients into the subbands of the transformed image. Third, we split the coefficients into two parts: the significance map and residue map. Then a new modified set partitioning in hierarchical trees (SPIHT) algorithm is proposed to encode the significance map. Fourth, algorithm iii is presented for coding the residue map. Finally, we adopt context-based adaptive arithmetic coding to encode the bit stream. We also provide some experimental results proving that multiwavelets are worth studying and compare them with those of other multiwavelet and JPEG2000 algorithms.
We have designed a series of computer sessions build around imageJ (a public-domain software for image analysis), as a practical complement to a two-semester course in imageprocessing The students are challenged with...
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ISBN:
(纸本)0780367251
We have designed a series of computer sessions build around imageJ (a public-domain software for image analysis), as a practical complement to a two-semester course in imageprocessing The students are challenged with simple practical imaging problems as they acquire hands-on practice by experimenting with image-processing operators In the process, they also learn how to program standard image-processingalgorithms in Java This is made possible thanks to a programmer-friendly environment and a software interface that greatly facilitates the developments of plugins for imageJ Since our students have generally not acquired programming skills yet (they typically do not even know Java), we use a learning-by-example teaching strategy, with good success.
Methodology and stages of data processing in multichannel airborne radar imaging systems are considered. It is shown that data fusion in such systems requires special techniques, algorithms, and software for image pro...
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ISBN:
(纸本)0819436771
Methodology and stages of data processing in multichannel airborne radar imaging systems are considered. It is shown that data fusion in such systems requires special techniques, algorithms, and software for imageprocessing and information retrieval. Some approaches and methods are proposed. The results are demonstrated for simulated and real images.
Three-dimensional depth information of a surface can be encoded in a two-dimensional image called single-image random-dot-stereograms or, more widely known, autostereograms. It is achieved by using the correlations of...
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ISBN:
(纸本)0780370414
Three-dimensional depth information of a surface can be encoded in a two-dimensional image called single-image random-dot-stereograms or, more widely known, autostereograms. It is achieved by using the correlations of pixels in the horizontal direction. Using the correspondences between pixels in human brains or computer algorithms, surfaces can be reconstructed from autostereograms. However, in some cases, the reconstructed surfaces are not unique because of "echoes". In the presence of echoes, reconstruction of the original surface from an autostereogram cannot be guaranteed since no cue of the original surface is available in autostereograms. In this paper, the causes of echoes are investigated and conditions for echo-free reconstructions are derived. Based on these conditions, an improved autostereogram generation algorithm is proposed to guarantee echo-free autostereograms. Besides, the surface reconstruction algorithm is modified such that the originally encoded surfaces can always be reconstructed from echo-free autostereograms.
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