Skip to content
Previous Year Question Paper

CS-803 (A) - Image Processing and Computer Vision

May 2026•CSE•SEMESTER-8
May 2026
Max Marks: 70
Duration: 3 Hours
Instructions:

• Attempt any five questions.

• All questions carry equal marks.

Q.1
b)Unit 1

Analyze the steps of recognition methodology (Grouping, Extracting, Matching). Roafigm AAs & TRU (Grouping, Extracting, Matching) &1 Rrzeror Hw CS803

Q.2
a)Unit 2

Explain morphological operations: dilation and erosion. Apply opening and closing operations on an image. Hifi 3724 : dilation Td erosion THHATSE] $337 TR opening UF closing ioe 71] SHE

b)Unit 2

Develop an algorithm for region growing. Formulate a method for image enhancement using filtering. Region growing 2g UF ueRem fal ifaw Reef gRT g9e1 Teieie tf faftr dar Sifswel -

Q.3
a)Unit 2

Differentiate between pixel-based and region-based representation. fraer-smenRa sik Jowr-amenRa fof d sie qdrse

Q.4
a)Unit 3

Explain Hough Transform. Justify the importance of feature extraction in vision systems. aw giawht @ awesel fie Ried BIR CGE] % Wgca 31 faa sevgel

b)Unit 3

Describe mixed spatial gray-level moments. A region has pixel values: {1, 2, 3, 4}. Calculate mean intensity. fires QRTad

Q.6
a)Unit 4

Differentiate between 2D and 3D image representation. Two images have intensity values: Imagel =[10, 20, 30], Image2 = [12, 18, 29]. Calculate absolute difference.

b)Unit 4

Analyze hierarchical image matching. Evaluate advantages of hierarchical matching over direct matching. .

Q.7
b)Unit 5

Explain control strategies in knowledge-based vision ; systems. Hide fie Ried 3 gia eat awemsel