In a food processing system, a a simple machine vision system is required to identify and remove defected grape and cherry tomatoes of all descriptions including those with cracks and splits, defects, over-ripes, rots and moulds, stink bugs, bird and insect damaged. Along with color and defect sorting. Perform histogram equalization on the given 8 X 8 image region and enhance the quality of the image to identify the defected grape and cherry tomatoes. 1 4 5 13 2 2 12 7 10 2 1 3 12 6 8 2 $ 1 7 12 1 10 a. Plot the gray level vs total no. of pixel counts b. Plot the gray level vs frequency 13 5 12 6 S S 1 11 13 11 5 14 15 2 10 G 6 13 G 4 1 1 1 12 c. Plot the gray level vs cumulative frequency d. Enhance the contrast of the image region to the level of 1:15 15 1 11 7 12 3 2 S 12 7 7 14 8 2 14 2

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
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1. In a food processing system, a a simple machine vision system is required to identify and remove defected
grape and cherry tomatoes of all descriptions including those with cracks and splits, defects, over-ripes, rots
and moulds, stink bugs, bird and insect damaged. Along with color and defect sorting. Perform histogram
equalization on the given 8 X 8 image region and enhance the quality of the image to identify the defected
grape and cherry tomatoes.
Ste
1
4
5
13
2
2
12
6
7
10
2
1
1
3
12
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8
2
S
1
7
12
1
10
13
5
12
6
9
1
11
13
11
5
14
15
2
4
10
0
6
13
O
4
1
1
1
12
a.
Plot the gray level vs total no. of pixel counts
b.
Plot the gray level vs frequency
c. Plot the gray level vs cumulative frequency
d.
Enhance the contrast of the image region to the level of 1:15
15
1
11
7
12
3
2
9
12
7
7
14
8
2
14
2
Transcribed Image Text:1. In a food processing system, a a simple machine vision system is required to identify and remove defected grape and cherry tomatoes of all descriptions including those with cracks and splits, defects, over-ripes, rots and moulds, stink bugs, bird and insect damaged. Along with color and defect sorting. Perform histogram equalization on the given 8 X 8 image region and enhance the quality of the image to identify the defected grape and cherry tomatoes. Ste 1 4 5 13 2 2 12 6 7 10 2 1 1 3 12 6 8 2 S 1 7 12 1 10 13 5 12 6 9 1 11 13 11 5 14 15 2 4 10 0 6 13 O 4 1 1 1 12 a. Plot the gray level vs total no. of pixel counts b. Plot the gray level vs frequency c. Plot the gray level vs cumulative frequency d. Enhance the contrast of the image region to the level of 1:15 15 1 11 7 12 3 2 9 12 7 7 14 8 2 14 2
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