Biosignal and Biomedical Image Processing MATLAB-Based Applications Muya phần 10 potx

... image I(22:54,22:52) = .25; % Four squares of different shades I(76 ;106 ,22:52) = .5; % against a black background I(22:52,76 :106 ) = .75; I(76 :106 ,76 :106 ) = 1; % % Construct projections: Fan and ... upper images were created by thresholding the intensity. The lower left image is a com- bination (logical OR) of the upper images and the lower right image adds a thresholded text...

Ngày tải lên: 23/07/2014, 19:20

... rotated image and the original image. ) 9. Load a frame of the MRI image ( mri.tif ) and perform a spatial transfor- mation that first expands the image horizontally by 20% then rotates the image by ... These include image resizing, cropping, and rotation. Image resizing and cropping are both techniques to change the dimen- sions of an image: the latter is interactive us...

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... emphasize the left and right boundaries. % Example 10. 6 and Figure 10. 9 % Demonstration of sliding neighborhood operations % Load image of blood cells, blood.tiff from the Image Processing % Toolbox ... between 1 and 3. TLFeBOOK Fundamentals of Image Processing 287 F IGURE 10. 5 Montage display of 27 frames of magnetic resonance images of the brain plotted in Example 10....

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... determined from histo- grams of 10, 0000-point waveforms. (A) Gaussian noise (from the MATLAB randn function). (B) Single sinusoid at 100 Hz. (C) Two sinusoids mixed together (100 and 30 Hz). (D) Four sinusoids ... *sin(w*12) ؉ .1*randn(1,N); % Double sin, a sawtooth s2 = sawtooth(w*5,.5)؉ .1*randn(1,N); % and a periodic % function s3 = pulstran((0:999),(0:5)’*180,kaiser (100 ,3)) ؉ .07...

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... with a small bandwidth and a p eak a t 10 H z. TLFeBOOK 8 Advanced Signal Processing Techniques: Optimal and Adaptive Filters OPTIMAL SIGNAL PROCESSING: WIENER FILTERS The FIR and IIR filters ... analysis applications only the subband signals are of interest and reconstruction is not needed, but in many wavelet applications, some operation is performed on the subband signals,...

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... time and TLFeBOOK 150 Chapter 6 r xx (τ) = ∫ ∞ −∞ x(t) x(t +τ) dt (4) and r xx (n) = ∑ M k=1 x(k) x(k + n)(5) where τ and n are the shift of the waveform with respect to itself. In the standard ... magnitude and phase of the STFT time–frequency spectrum with the rows encoding the time axis and the columns representing the frequency axis. The optional output arguments, f and t , ar...

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... and Figure 4.13 % Bandstop filter with a passband gain of 1 between 0 and 100 , % a stopband gain of -40 db between 300 and 400 Hz, % and an upper passband gain of 1 between 500 and fs/2 Hz (100 0 %Hz). % ... 0.1, and an upper passband between 500 and 100 0 Hz (assuming f s /2 = 100 0) with the same ripple as the lower passband. The f , a , and dev vectors would be: f = [10...

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... waveform consisting of a 100 Hz sine wave and white noise using two different methods. The Fourier transform method was used to produce the left-hand spectrum and the spike at 100 Hz is clearly seen. An ... construct an impulse func- tion and determine the output using the MATLAB filter routine. % Example 4.1 and Figures 4.2 and 4.3 % Plot the frequency characteristics and impul...

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... Generate bandlimited noise and compute and plot the auto- correlation function for two different bandwidths. % Example 2.2 and Figure 2.8 % Generate colored noise having two different bandwidths % and ... box and record the following output: Frequency (Hz): 2 10 20 60 100 125 150 200 300 400 V out volts rms: .15 10 −7 0.1 10 −3 0.002 0.2 1.5 3.28 4.47 4.97 4.99 5.0 What is the...

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... Implementation 265 Problems 270 10 Fundamentals of Image Processing: MATLAB Image Processing Toolbox 271 Image Processing Basics: MATLAB Image Formats 271 General Image Formats: Image Array Indexing 271 TLFeBOOK TLFeBOOK x ... signal processing and data acqui- sition while Chapter 2 includes topics that are basic to all aspects of signal and image processing. Chapt...

Ngày tải lên: 23/07/2014, 19:20