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Mid Term Exam B

The document is a mid-term exam for a Digital Image Processing course at the Natural University, focusing on various concepts such as pixels, histogram techniques, and filters. It includes multiple-choice questions, true/false statements, and practical applications involving image enhancement and filtering. Students are required to demonstrate their understanding of these concepts through calculations and explanations.

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11 views1 page

Mid Term Exam B

The document is a mid-term exam for a Digital Image Processing course at the Natural University, focusing on various concepts such as pixels, histogram techniques, and filters. It includes multiple-choice questions, true/false statements, and practical applications involving image enhancement and filtering. Students are required to demonstrate their understanding of these concepts through calculations and explanations.

Uploaded by

azasfrz10
Copyright
© © All Rights Reserved
We take content rights seriously. If you suspect this is your content, claim it here.
Available Formats
Download as PDF, TXT or read online on Scribd
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Republic of Yemen Name:……………………………………………………………..

Department: IT
Ministry of High Education and Research Science
Level: 4
The Natural University Eng: Ghania Abdullah

Mid term exam (Digital image processing)…


Choose the correct answer from the options in parentheses: (5 marks)

1. Composed of a finite number of elements [a pixel, ,a digital image, digital image processing].
2. [a histogram , a histogram equalization , enhancement ] is a popular technique for improving the
appearance of a poor image.
3. [noise reduction , segmentation , virtuality and reality] both inputs and outputs are images.
𝜕𝑓
4. The form of [first order derivative- second order derivative – high-boosting mask] is 𝜕𝑥 = 𝑓(𝑥 + 1) − 𝑓(𝑥).

5. Some filters can be implemented by the successive application of two simpler filters [ unsharp , high-boost ,
separable ] filter.

Put () or (), and correct the false answer: (5 marks)

1- The histogram of image with narrow intensity range is high-contrast. ( )


2- The sum of p(kr) for all values is always (1). ( )
3- 2nd derivative must be zero along intensity ramps. ( )
4- Median filter is a linear filter. ( )
5- Intensity transformation is neighborhood of size 3×3. ( )

Find the histogram equalization for enhancement the image with 3bit/pixel, so the possible range of
values 0 to 7. We have an image with the following histogram: (6 marks)

Gray level value 0 1 2 3 4 5 6 7


No. of pixel histogram value 10 8 9 2 14 1 5 2
Choose two questions from three:
1- Apply the average filter on the following image:
2 10 7 3
8 13 11 10
𝐼=[ ]
4 0 8 5
7 3 1 0
And explain the effect which happen on the image.
2- In an image enhancement spatial filter can be classified by effect into two categorize, enumerate and explain
them.
3- Apply the Laplacian filter on the shaded pixels on the following image :
𝟑𝟎 𝟐𝟎 𝟒𝟎 𝟏𝟎
𝟏𝟎 𝟗𝟎 𝟏𝟎 𝟖𝟎
𝑰=[ ]
𝟔𝟎 𝟑𝟎 𝟒𝟎 𝟏𝟎
𝟎 𝟕𝟎 𝟏𝟎 𝟐𝟎
By using the Laplacian mask :
𝟏 𝟏 𝟏
[𝟏 − 𝟖 𝟏]
𝟏 𝟏 𝟏

😊 GOOD LUCK

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