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University of Barishal

Department of Computer Science and Engineering

Final Exam

Course Title: Digital Image Processing (CSE-4201)

Semester: 8th | Session: 18-19

Time: 180 minutes | Marks: 60.00

Course Teacher: Dr. Md Manjur Ahmed

Exam Date: September 18, 2024

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There are eight questions. Answer any five of the questions. Figures in the right-hand margin indicate full marks.

1.

a) What is digital image and what is digital image processing? Explain shortly.

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3 Marks
b) Describe all the key stages of digital image processing.

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5 Marks
c) Describe shortly about the major components of digital image processing.

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4 Marks
2.

a) Explain the concept of histogram equalization. How does it improve the contrast of an image?

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4 Marks
b) Perform histogram equalization on gray level distribution shown in the following table. Draw the histograms of the original and equalized images.

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4 Marks
c) Compare and contrast spatial domain and frequency domain techniques for image enhancement. Provide examples.

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4 Marks
3.

a) Explain an image restoration process with a suitable diagram and equations.

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3 Marks
b) Explain image degradation in the context of digital image processing. What can cause to degrade an image?

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6 Marks
c) Write shortly about the Gaussian noise and Impulse noise in the context of digital image processing.

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3 Marks
4.

a) Explain the region-based segmentation technique. How does it differ from edge-based segmentation?

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4 Marks
b) How K-means clustering method is used in image segmentation. Explain its main steps with a proper example.

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4 Marks
c) Discuss the challenges in thresholding for image segmentation. Provide examples of adaptive thresholding methods.

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4 Marks
5.

a) Describe some applications of lossy and lossless image compression techniques.

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2 Marks
b) What is Huffman coding in the context of digital image processing. Suppose we have a 5×5 raster image with 8-bit color, i.e. 256 different colors. So, the uncompressed image will take 5 x 5 x 8 =200 bits of storage. Now do the Huffman coding for the following distribution of the colors and find out the compression ratio of that image. There are only 4 unique colors: white, black, red and blue. White 14 times, Black 6 times, Red 3 times, Blue 2 times

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5 Marks
c) Describe the steps of JPEG compression technique.

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5 Marks
6.

a) What is color model? Describe in brief about RGB, CMYK and HSI color models.

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6 Marks
b) What are boundary descriptors and regional descriptors in image description. Describe them briefly.

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c) What is the difference between luminance and chrominance?

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2 Marks
7.

a) There are different filters commonly used for removing noise from an image. Briefly describe two of them.

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3 Marks
b) How does the morphological operation of dilation work? Explain its effects on binary images.

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4 Marks
c) What are the basic mathematical tools used in digital image processing? Explain, how can Fourier transform help in digital image processing?

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5 Marks
8.

a) What is object recognition? Describe the major components of object recognition.

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4 Marks
b) Discuss the role of feature extraction in image recognition. Provide examples of commonly used features.

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c) Describe some evaluation metrics which are commonly used in object recognition.

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4 Marks
View 92 Topic-wise Questions for this Course

Contributors of this Question:

Role Name Date
Prepared By (Teacher): Dr. Md Manjur Ahmed Sept. 18, 2024
Uploaded By: Obaydul Hasan Nayeem Sept. 18, 2024, 4:52 p.m.
Converted By (Img/PDF to Text): Obaydul Hasan Nayeem Oct. 22, 2025, 12:01 a.m.
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