Seat No.:
Subject Code: 2170308
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Enrolment No.
GUJARAT TECHNOLOGICAL UNIVERSITY
BE - SEMESTER- VII (New) EXAMINATION - WINTER 2019
Subject Name: Biomedical Image Processing
Time: 10:30 AM TO 01:00 PM
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Instructions:
- Attempt all questions.
- Make suitable assumptions wherever necessary.
- Figures to the right indicate full marks.
Q.1 | (a) | Compare CCD and CMOS sensor. | 03 |
(b) | Explain Pixel Connectivity. | 04 | |
(c) | Explain image acquisition in detail. | 07 | |
Q.2 | (a) | Briefly explain basic of edge detection. | 03 |
(b) | Explain 2D convolution with example. | 04 | |
(c) | Discuss objectives of Image Enhancement. Explain enhancement using Arithmetic & Logic operations. | 07 | |
OR | |||
(c) | Explain Histogram Equalization in detail. | 07 | |
Q.3 | (a) | Explain need of morphological image processing. | 03 |
(b) | Describe convex hull method and its advantages. | 04 | |
(c) | Explain filtering in frequency domain. Discuss its advantages over spatial domain. | 07 | |
OR | |||
(c) | Explain opening and closing of image. | 07 | |
Q.4 | (a) | Explain hit-or-miss transform. | 03 |
(b) | Explain the basic concept of spatial filtering in image enhancement and explain importance of image sharpening and high-boost filtering. | 04 | |
(c) | Explain basics of Hough transform. | 07 | |
Q.5 | (a) | Explain non uniform quantization. | 03 |
(b) | Explain k-means clustering with example. | 04 | |
(c) | OR | 07 | |
(a) | Explain Bit-plane slicing. | 03 | |
(b) | Explain global thresholding. | 04 | |
(c) | Explain Region based image processing. | 07 | |
Q.S5 | (a) | Explain different types of image formats. | 03 |
(b) | Explain the chain code with example. | 04 | |
(c) | With the help of a neat block diagram, explain the Homomorphic filtering. | 07 | |
OR | |||
(c) | Explain image moments. | 03 | |
(b) | Explain image compression model. | 04 | |
(c) | Explain Huffman coding with given details. For the symbols a,b,c,d,e the respective probabilities are p(a)=0.4, p(b)=0.2, p(c)=0.2, p(d)=0.1, p(e)=0.1. | 07 |
Date: 26/11/2019
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Total Marks: 70
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