Biosignal and Biomedical Image Processing MATLAB-Based Applications Muya phần 8 pptx

... 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 texture-based image. The ... intensity thresh- olded images are shown in Figure 12.15 (upper images; the upper right image has been inverted). These images are combined in the lower left image. The lower right...

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 ... 0.0113 0. 083 8 0.6193 0. 083 8 0.0113 0. 083 8 0.0113 ͬ The Laplacian filter is used to take the second derivative of an image: ∂ 2 /∂x. The log filter is actually the log of G...

Ngày tải lên: 23/07/2014, 19:20

... in pseudocolor by coding the image into green and the inverse of the image into blue. Then take a threshold and plot pixels over 80 % maximum as red. 4. Load the image of a cancer cell (from rat ... shape) where I1 and h are image and filter coefficients (or two images, or simply two matrices) to be convolved and shape is an optional argument that controls the size of the o...

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... sequen- tially as in Example 8. 3. Use a FIR filter lengths of 1 28 and 256 points. Evaluate the influence of modifying the delay between 4 and 18 samples. 5. Modify the code in Example 8. 5 so that the reference ... ALE filter. % Example 8. 4 and Figure 8. 9 Adaptive Line Enhancement (ALE) % Uses adaptive filter to eliminate broadband noise from a % narrowband signal % % Generate...

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... − n) (31) TLFeBOOK TLFeBOOK 2 18 Chapter 8 % Example 8. 1 and Figure 8. 3 Wiener Filter Theory % Use an adaptive filter to eliminate broadband noise from a % narrowband signal % Implemented using ... adjusted to approxim ate a bandpass filter with a small bandwidth and a p eak a t 10 H z. TLFeBOOK 8 Advanced Signal Processing Techniques: Optimal and Adaptive Filters OPTIMAL SIG...

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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 ... signal and an imaginary part that is the Hilbert Transform of the real signal (Cohen, 1 989 ). This is the approach used by the MATLAB routine hilbert and the routine hilber on the disk,...

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... Example 4.5 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 ... Design a bandstop filter having the following characteris- tics: a passband gain of 1 (0 db) between 0 and 100, a stopband gain of −40 db between 300 and 400 Hz, and an upper pa...

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... 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 impulse response TLFeBOOK Spectral ... waves (235 and 250 Hz) in noise (SNR =−10 db). Welch’s method was used for both methods with the same parameters (nfft = 1 28, overlap = 64) except for the window functions. TLF...

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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 ... construct and plot the ensemble standard deviation. 2. Use the MATLAB autocorrelation and random number routine to plot the autocorrelation sequence of white noise. Use arrays...

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... 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 ... 275 Image Display 2 78 Image Storage and Retrieval 284 Basic Arithmetic Operations 285 Advanced Protocols: Block Processing 292 Sliding Neighborhood Operat...

Ngày tải lên: 23/07/2014, 19:20