document image processing for paper side communications
bernd jahne - practical handbook on image processing for scientific and technical applications
... Techniques from computer science and mathematics are required toperform quantitative analyses of the images. Therefore, image processing merges asurprisingly wide range of sciences (Fig. 1.2): ... excluded from ap-plications in image processing, it has become a major integrating factor. In this way, ittriggers new connections between research areas. Therefore, image processing servesas an integrating ... digital image processing techniques to extract and quantify relevant parameters.We briefly outline the scientific issues, show the optical setup, give sample images,describe the image processing...
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Tài liệu 68 Array Processing for Mobile Communications pdf
... Center for Telecom-munications and Information Systems Laboratory, Stanford University, Stanford, CA, June1994.[2] Second workshop on smart antennas in wireless mobile communications, Center for ... Telecom-munications and Information Systems Laboratory, Stanford University, Stanford, CA, July20-21, 1995.[3] Third workshop on smart antennas in wireless mobile communications, Center for Telecom-munications ... thesis, Stanford University, Stanford, CA, Nov. 1981.[38] Shynk, J.J. and Gooch, R.P., The constant modulus array for co-channel signal copy and direc-tion finding,IEEE Trans. on Signal Processing, 44(3),...
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Báo cáo khoa học: "An Alignment Method for Noisy Parallel Corpora based on Image Processing Techniques" doc
... deletions (Simard 1996). This paper presents a new approach based on image processing (IP) techniques, which is immune to such predicaments. 2. BCP as image processing 2.1 Estimation of LTP ... Hough transform always detect the most apparent line segments even in a noisy dotplot. Before applying Hough transform, the same processes of normalization and thresholding are performed first. ... the test data. For simplicity, we have selected mutual information to estimate LTP. Statistics of mutual information between a source and target words is estimated using an outside source, example...
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algorithms for image processing and computer vision 2nd
... i++) for (j=0; j< ;image- >width; j++){k=( (image- >imageData+i *image- >widthStep)[j *image- >nChannels+0]+ (image- >imageData+i *image- >widthStep)[j *image- >nChannels+1]+ (image- >imageData+i *image- >widthStep)[j *image- >nChannels+2])/3; (image- >imageData+i *image- >widthStep)[j *image- >nChannels+0]= ... (image- >imageData+i *image- >widthStep)[j *image- >nChannels+0]+ (image- >imageData+i *image- >widthStep)[j *image- >nChannels+1]+ (image- >imageData+i *image- >widthStep)[j *image- >nChannels+2])/3; (image- >imageData+i *image- >widthStep)[j *image- >nChannels+0]= (UCHAR) k; (image- >imageData+i *image- >widthStep)[j *image- >nChannels+1]= ... organization for an image. Images inIplImage form can be converted into arrays of pixels, but IplImagealso contains a lot of structural information about the image data, which canhave many forms. For...
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Nonlinear techniques for color image processing
... subsequent image processing operations such as edge detection, image seg-mentation and pattern recognition.Numerous filtering techniques have been proposed to date for color image processing. ... in Image Processing and Analysis”, IEEE Trans. Image Processing, vol. 7, no. 3, pp. 304-309, March 1998.49B. Smolka, K.N. Plataniotis, A.N. Venetsanopoulos, Nonlinear Techniques for Color Image ... Nonlinear Signal and Image Processing: Theory, Methods, and Applications[20] G. Borgefors, ”Distance transformations in arbitrary dimensions”, Computer Vision, Graphics and Image Processing, vol.27,...
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donald g. bailey - design for embedded image processing on fpgas
... parallelism inherent in the processing ofimages. A brief history of parallel image processing systems is reviewed to provide the context of usingFPGAs for image processing. Preface xiiiFigure ... areprovided, more space is available for logic, but complex circuits cannot be constructed because of28 Design for Embedded Image Processing on FPGAsDESIGN FOR EMBEDDED IMAGE PROCESSING ON FPGASDonald ... and image processing) that have been gleaned fromthe literature.Intended AudienceThis book is written primarily for those who are familiar with the basics of image processing and want toconsider...
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topological algorithms for digital image processing
... FCk for the input image I. The image transformation T is said to preserve foreground connectivity for the input image I if both FCl and FC2 are satisfied. We say a reductive image ... cyclic image transformation of A preserves foreground connectivity for the input image I. Proof. Let T be A's cyclic image transformation. Suppose T does not preserve foreground ... preserves foreground connectivity for every input image /. Definition 2.3 For k = I or2, a reductive image algorithm A is said to satisfy FCA; if A terminates for all input images...
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mohamed najim - digital filters design for signal and image processing
... Filters Design for Signal and Image Processing 24 Digital Filters Design for Signal and Image Processing We can also represent, especially for causal sequences, the monolateral z-transform, )(zXz, ... Fourier z-transforms 80 3.3.3. The inverse Fourier transform 81 3.3.4. The discrete Fourier transform 82 3.4. The fast Fourier transform (FFT) 86 3.5. The fast Fourier transform for a time/frequency/energy ... recursive filtering 246 8.4.4. Processing of side effects 249 8.4.4.1. Prolonging the image by pixels of null intensity 250 x Digital Filters Design for Signal and Image Processing 8.4.4.2. Prolonging...
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signal processing for image enhancement
... video coding on time-honored topic of securing image information. Signal Processing for Image En-hancement and Multimedia Processing is designed for a professional audiencecomposed of practitioners ... it moreflexible for large document image processing. Our proposition, ca ll ed the local-global Mean Shift clustering algorithm, has been successfully applied for doc-ument image restoration, ... segmented image with the local-global Mean Shift2 A Modified Mean Shift Algorithm For Efficient 212.4 Experimental results: Segmentation for document image restoration2.4.1 Problem statementImage...
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Báo cáo hóa học: " Performance analysis of massively parallel embedded hardware architectures for retinal image processing" pot
... article as: Nieto et al.: Performance analysis of massivelyparallel embedded hardware architectures for retinal image processing. EURASIP Journal on Image and Video Processing 2011 2011:10.Submit ... Platform Ideal Solution for a WideRange of Embedded Systems. Extensible Processing Platform OverviewWhite Paper 2010.32. Curreri J, Koehler S, Holland B, George A: Performance Analysis with ... Pixel-Level Snake s. All variables areimages. All operations are performed over all pixels ofthe image before the execution continues.The final step is to pe rform the evolution itself (con-tour...
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