How to 1- read CT images (Different dimension) 2- Stack them in one volume (3D) 3- visualize them 4 - Do alignment , so the images be align in specific way 5- crop a specific part of the big volume images (for example if we have images of rock “in circle shape” we have to stack them in one volume then visualize them ,and Do alignment , so the images be align in specific way to crop a specific part of the big volume images ) final result as a Cylinder USING MATLAB

How to 1- read CT images (Different dimension) 2- Stack them in one volume (3D) 3- visualize them 4 - Do alignment , so the images be align in specific way 5- crop a specific part of the big volume images (for example if we have images of rock “in circle shape” we have to stack them in one volume then visualize them ,and Do alignment , so the images be align in specific way to crop a specific part of the big volume images ) final result as a Cylinder USING MATLAB

Principles of Information Systems (MindTap Course List)

12th Edition

ISBN:9781285867168

Author:Ralph Stair, George Reynolds

Publisher:Ralph Stair, George Reynolds

Chapter11: Knowledge Management And Specialized Information Systems

Section: Chapter Questions

Problem 19SAT

See similar textbooks

Similar questions

Laplacian Image Pyramid A Laplacian image pyramid is a multi-scale representation of a single image that highlights intensity discontinuities at multiple scales. It is obtained by convolving an image with a Gaussian mask and subtracting the smoothed image from the original one. The next level of the pyramid is obtain by repeating this process on the smoothed image after it is down-sampled. Create a 3 level Laplacian image pyramid of the woods image (after conversion from uint8 to double format), using a Gaussian with a standard deviation of 1.5, using "same" as the shape parameter for the conv2 function, and resizing by a scale factor of 0.5 using nearest-neighbour interpolation. Display the images in the pyramid as subplots in the same window.
Laplacian Image Pyramid A Laplacian image pyramid is a multi-scale representation of a single image that highlights intensity discontinuities at multiple scales. It is obtained by convolving an image with a Gaussian mask and subtracting the smoothed image from the original one. The next level of the pyramid is obtain by repeating this process on the smoothed image after it is down-sampled. Create a 3 level Laplacian image pyramid of the woods image (after conversion from uint8 to double format), using a Gaussian with a standard deviation of 1.5, using "same" as the shape parameter for the conv2 function, and resizing by a scale factor of 0.5 using nearest-neighbour interpolation. Display the images in the pyramid as subplots in the same window. EXERCISE: For the last level of the pyramid report the values at the following locations (correct to at least 2 decimal places): row=3, column=5 row=1, column=2
Problem 3: The histograms of two images are illustrated below. Sketch a transformation function for each image that will make the image have a better contrast. Use the axis provided below to sketch your transformation functions. 1/128 1209 64 192 255 100 155 255
What role does Bayes' Theorem have in the operation of image resizing software?
Computer Science Given a 512 x 512 image that consists of a series of 8-pixel wide white, and 8-pixel wide dark lines, where each pixel is 0.1mm wide. What is the spatial frequency of the lines in lp/mm?
AVL rotations. Look at image.
Computers IMAGE PROCESS A medical image has a size of 8*8 inches. The sampling resolution in 5 cycle/mm. How many pixels are required? Will an image of size 256*256 be enough.
What distinguishes vector graphics from raster graphics is the resolution of the image.
For the following 5x5 image f(x,y) with 3 bits per pixel, compute the histogram of f(x,y)f(x,y) = 0 0 1 1 2 0 1 1 2 4 1 1 2 4 5 1 3 4 5 6 3 3 5 6 7
Matlab Assignment #1 1. Take your color picture and acquire it to Maltab. 2. Display your original image. 3. Display the intensity for each color component, Red, Green and Blue. 4. Change to Black and White image and display it. 5. Resize the BW image to 64x64 image and display it. 6. 3D plot the resized 64x64 image. 7. Filter the 64x64 image by a median filter and 3D plot it. 8. Your cover sheet must include Assignment #, Class, Semester, Your name, Last four digits of your Banner ID, and Date of submission. 9. Each display must include the Title of Figure. 10. Your report includes: 1) Description of how you get the image, 2) Matlab program, 3) Different figure number for each figure and description about the figure, 4) All figures in one-word file together with Matlab program as one report.
Image of size 1024 x 800 needs to resize to one that has 640 pixels width with the same aspect ratio, what would be the height of the resized image?
Examining an image can help you distinguish between a scalar processor and a superscalar processor. It is clearly more difficult to handle superscalar data than scalar data. There are two main issues with the superscalar system.