作者：
Zhao, NLZhejiang Univ
Dept Appl Math State Key Lab CAD&CG Hangzhou 310027 Peoples R China
A new adaptive algorithm for image zooming with edge preservation is proposed. The 4_point interpolation scheme is introduced to resample the original low_resolution image. By using the wavelet transform and inverse w...
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ISBN:
(纸本)0819430064
A new adaptive algorithm for image zooming with edge preservation is proposed. The 4_point interpolation scheme is introduced to resample the original low_resolution image. By using the wavelet transform and inverse wavelet transform, edges in original image are extracted and restored to the final high_resolution image automatically.
Fractal is everywhere in nature, therefore it can be used effectively in analyzing images of natural scenes. In this paper, multi-spectral image segmentation based on fractal characteristics is studied and its computa...
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ISBN:
(纸本)0819430064
Fractal is everywhere in nature, therefore it can be used effectively in analyzing images of natural scenes. In this paper, multi-spectral image segmentation based on fractal characteristics is studied and its computational implementation is proposed. Our simulation shows that fractal signature performs as a good texture feature for segmentation of remote-sensing images.
The paper presents a new approach to match an image to a model described by straight lines. It utilizes both straight lines and multi-properties of the line hierarchically, and works efficiently under arbitrary transl...
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ISBN:
(纸本)0819430064
The paper presents a new approach to match an image to a model described by straight lines. It utilizes both straight lines and multi-properties of the line hierarchically, and works efficiently under arbitrary translations, rotations and scale changes in noise conditions. It is practical for many applications.
The neural network method applied for the color image segmentation of the human's head image in the simple background is studied in this paper. The adopted network model is BP network, The image segmented by the r...
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ISBN:
(纸本)0819430064
The neural network method applied for the color image segmentation of the human's head image in the simple background is studied in this paper. The adopted network model is BP network, The image segmented by the region growing method is used as the training Bet and the BP algorithm is adopted to train the target and background image. Then segmenting testing image can be processed. Experimenting results show that the segmenting effect of this method is as good as the region growing method.
作者：
Sang, NZhang, TXHuazhong Univ Sci & Technol
Inst Pattern Recognit & Artificial Intelligence State Educ Commiss Lab Image Proc & Intelligent C Wuhan 430074 Hubei Peoples R China
A new segmentation algorithm of forward-locking infrared(FLIR) images is presented, which first uses median subtraction filter to enhance targets and suppress backgrounds, then uses MBS algorithm to perform segmentati...
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ISBN:
(纸本)0819430064
A new segmentation algorithm of forward-locking infrared(FLIR) images is presented, which first uses median subtraction filter to enhance targets and suppress backgrounds, then uses MBS algorithm to perform segmentation. This algorithm can obtain a precise and accurate segmentation of a target from low contrast FLIR images in complex background. Experimental results compared with MBS algorithm are given. We find that the proposed algorithm shows much better segmentation performance than MBS algorithm in complex background.
In this paper, a kind of self-similar coefficient(SSC) of the range blocks in an image is defined in Fractal image Compression(FIC) scheme. It also is proved that the range blocks in fractal images possess short dista...
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ISBN:
(纸本)0819430064
In this paper, a kind of self-similar coefficient(SSC) of the range blocks in an image is defined in Fractal image Compression(FIC) scheme. It also is proved that the range blocks in fractal images possess short distance piecewise selfsimilarity(SDPS). A novel edge detect method is proposed based on SSC and SDPS, and the result show that this method can be used to extract edge of fractal images effectively.
Moment invariants, by virtue of invariance properties under translation, scaling and relation, have played an important role in patternrecognition and computer vision. In the present paper, extending the systolic arr...
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ISBN:
(纸本)0819430064
Moment invariants, by virtue of invariance properties under translation, scaling and relation, have played an important role in patternrecognition and computer vision. In the present paper, extending the systolic array for computing moments, a global systolic structure for fast computation of moment invariants has been proposed. This structure fully exploits parallelism of the network architecture and reduces computational time complexity from O(n(2)) in the case of direct computation to O(n) (n denotes image size). The systolic structure nearly consists of adders with area complexity O(n) and are highly regular and structurally very simple, resulting in simple hardware implementation. The method is suitable for both binary images and gray level images and is also suitable for image sequence moments.
images, photographed through a submarine periscope, are ambiguous because of submarine periscope light path energy dissipation and bad conditions. With wavelet and Mallat algorithm, we can remove image noise and enhan...
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ISBN:
(纸本)0819430064
images, photographed through a submarine periscope, are ambiguous because of submarine periscope light path energy dissipation and bad conditions. With wavelet and Mallat algorithm, we can remove image noise and enhance image edge. The processing efficient is not very good because the most optimum adjusting coefficients are not used in wavelet reconstruction. In this paper, we utilize the Orthogonal Experiment Design to optimize adjusting coefficients in enhancing edge and removing noises, Experiments show that the results are better.
This paper will describe the embedded SIMD massively parallel processor that we have developed for real-time imageprocessing applications, such as real-time small target detection and tracking and video processing. T...
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ISBN:
(纸本)0819430064
This paper will describe the embedded SIMD massively parallel processor that we have developed for real-time imageprocessing applications, such as real-time small target detection and tracking and video processing. The processor array is based on SIMD chip BAP-128 designed by our own, and uses high performance DSP TMS320C31, which can effectively perform serial and floating point calculations, as the host of the SIMD processor array. As a result, the system is able to perform a variety of imageprocessing tasks in real-time. Furthermore, the processor will be connected with a MIMD parallel processor to construct a heterogeneously parallel processor for more complex realtime ATR (Automatic Target recognition) and computer vision applications.
Data fusion is heavily concentrated in both inland and overseas. Nowadays, among many developed algorithms, Dempster-Shafer reasoning and fuzzy set technology are: widely used and most representative. A new data fusio...
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ISBN:
(纸本)0819430064
Data fusion is heavily concentrated in both inland and overseas. Nowadays, among many developed algorithms, Dempster-Shafer reasoning and fuzzy set technology are: widely used and most representative. A new data fusion approach of generalizing Dempster-Shafer reasoning to fuzzy set is presented in this paper. And it is used to deal with by object recognition with rosette scanning dual color data from infrared and ultra-violet sensors. The simulated experiments illustrated that our approach can eliminate false targets and recognize target correctly.
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