Engineering BE Electronics and Telecommunication Sem 4 May 2023 2023 EXTC4Image Processing And Machine Vision Question Paper - Mumbai University | munotes
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Questions asked in this paper
Paper Subject Code: 89343 Image Processing and Machine Vision
Duration: 3hrs [Max Marks: 80]
N.B.: (1) Question No is Compulsory
(2) Attempt any three questions out of the remaining five
(3) All questions carry equal marks
(4) Assume suitable data, if required, and state it clearly
1 Attempt any FOUR. [20]
bit-plane slicing on the following image
Reconstruct the image after discarding the LSB plane
the basic steps in frequency domain filtering
c Define morphological erosion and dilation of a binary image
State the principle of basic global thresholding
e Compute the co-occurrence matrix C; of the following image. (One pixel to the
2 Explain the working of the following sharpening spatial domain filters. [10]
Histogram Equalization for the following image. Show the original and
Paper Subject Code: 89343 Image Processing and Machine Vision
3 a Write an expression for a two-dimensional DCT. Form a 4x4 DCT matrix and [10]
compute the DCT of the following sub-image
b Compare Ideal, Butterworth and Gaussian Low Pass Filtering in frequency [10]
4 Perform segmentation using split-and-merge technique on the following image
Show the quad-tree representation
Explain morphological region filling. [10]
5 Explain the working of Canny edge detector. [10]
Find the chain code and shape number of the following shape. [10]
6 Illustrate K-means algorithm for classification of data with a suitable example. [10]
Explain the Support Vector Machine classifier for binary classification. [10]
Duration: 3hrs [Max Marks: 80]
N.B.: (1) Question No is Compulsory
(2) Attempt any three questions out of the remaining five
(3) All questions carry equal marks
(4) Assume suitable data, if required, and state it clearly
1 Attempt any FOUR. [20]
bit-plane slicing on the following image
Reconstruct the image after discarding the LSB plane
the basic steps in frequency domain filtering
c Define morphological erosion and dilation of a binary image
State the principle of basic global thresholding
e Compute the co-occurrence matrix C; of the following image. (One pixel to the
2 Explain the working of the following sharpening spatial domain filters. [10]
Histogram Equalization for the following image. Show the original and
Paper Subject Code: 89343 Image Processing and Machine Vision
3 a Write an expression for a two-dimensional DCT. Form a 4x4 DCT matrix and [10]
compute the DCT of the following sub-image
b Compare Ideal, Butterworth and Gaussian Low Pass Filtering in frequency [10]
4 Perform segmentation using split-and-merge technique on the following image
Show the quad-tree representation
Explain morphological region filling. [10]
5 Explain the working of Canny edge detector. [10]
Find the chain code and shape number of the following shape. [10]
6 Illustrate K-means algorithm for classification of data with a suitable example. [10]
Explain the Support Vector Machine classifier for binary classification. [10]
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