(a) Design a binary image of 200 columns by 100 rows, which contains a rectangle whose length = 120 pixels and height = 60 pixels in the center. Set the rectangle to be white and the background to be black. Use a circular structuring element whose radius is 9 pixels to perform the following: (Hint: Matlab functions: strel('disk',9,0); imdilate, imerode, imopen, imclose) (i) Binary dilation (ii) binary erosion (iii) binary opening, and (iv) binary closing. Show the Matlab source code and the resulting five images: the rectangular image, the dilated image, the eroded image, the opened image, and the closed image. (b) Design a circular structuring element whose radius is 5 pixels to perform the following operation with the input image “lena_256.bmp”: (Hint: Matlab functions: imdilate, imerode, imopen, imclose) (v) Grayscale dilation (vi) grayscale erosion (vii) grayscale opening, and (viii) grayscale closing. Show the Matlab source code and the resulting five images: the original Lena image, the dilated image, the eroded image, the opened image, and the closed image. (c) Hand calculate the morphological dilation and erosion of f and k as shown below. Use the upper-left pixel of k as the origin. Note: do not consider the computation to the pixels which are located outside the boundary of f. f: k: 5330 11 1 4 2 7 2 -3j
(a) Design a binary image of 200 columns by 100 rows, which contains a rectangle whose length = 120 pixels and height = 60 pixels in the center. Set the rectangle to be white and the background to be black. Use a circular structuring element whose radius is 9 pixels to perform the following: (Hint: Matlab functions: strel('disk',9,0); imdilate, imerode, imopen, imclose) (i) Binary dilation (ii) binary erosion (iii) binary opening, and (iv) binary closing. Show the Matlab source code and the resulting five images: the rectangular image, the dilated image, the eroded image, the opened image, and the closed image. (b) Design a circular structuring element whose radius is 5 pixels to perform the following operation with the input image “lena_256.bmp”: (Hint: Matlab functions: imdilate, imerode, imopen, imclose) (v) Grayscale dilation (vi) grayscale erosion (vii) grayscale opening, and (viii) grayscale closing. Show the Matlab source code and the resulting five images: the original Lena image, the dilated image, the eroded image, the opened image, and the closed image. (c) Hand calculate the morphological dilation and erosion of f and k as shown below. Use the upper-left pixel of k as the origin. Note: do not consider the computation to the pixels which are located outside the boundary of f. f: k: 5330 11 1 4 2 7 2 -3j
Computer Networking: A Top-Down Approach (7th Edition)
7th Edition
ISBN:9780133594140
Author:James Kurose, Keith Ross
Publisher:James Kurose, Keith Ross
Chapter1: Computer Networks And The Internet
Section: Chapter Questions
Problem R1RQ: What is the difference between a host and an end system? List several different types of end...
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(a) Design a binary image of 200 columns by 100 rows, which contains a rectangle whose length = 120 pixels and height = 60 pixels in the center. Set the rectangle to be white and the background to be black. Use a circular structuring element whose radius is 9 pixels to perform the following: (Hint: Matlab functions: strel('disk',9,0); imdilate, imerode, imopen, imclose) (i) Binary dilation (ii) binary erosion (iii) binary opening, and (iv) binary closing. Show the Matlab source code and the resulting five images: the rectangular image, the dilated image, the eroded image, the opened image, and the closed image.
(b) Design a circular structuring element whose radius is 5 pixels to perform the following operation with the input image “lena_256.bmp”: (Hint: Matlab functions: imdilate, imerode, imopen, imclose) (v) Grayscale dilation (vi) grayscale erosion (vii) grayscale opening, and (viii) grayscale closing. Show the Matlab source code and the resulting five images: the original Lena image, the dilated image, the eroded image, the opened image, and the closed image.
(c) Hand calculate the morphological dilation and erosion of f and k as shown below. Use the upper-left pixel of k as the origin. Note: do not consider the computation to the pixels which are located outside the boundary of f.
f: k: 5330 11
1 4 2 7 2 -3j
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