JAWAHARLAL NEHRU TECHNOLOGICAL UNIVERSITY HYDERABAD IV.B.TECH - I SEMESTER SUPPLEMENTARY EXAMINATIONS NOV/DEC, 2009 DIGITAL IMAGE PROCESSING (Common to ECE, BME, ETM) Time: 3hours Max.Marks:80 Answer any FIVE questions All questions carry equal marks --1. a) Explain in detail about various features used for speech and fingerprint recognition. b) Explain the adaptive pattern recognition system with necessary functional block diagram? [8+8]
[8+8]
3. a) Explain about linear separability of pattern classes. b) Explain limitation of perceptron training algorithm?
[8+8]
4. a) Explain about the salient features of a syntactic pattern recognition. b) Explain the types of grammars for syntactic pattern recognition.
[8+8]
uW
5. Write short notes on: a) Pixel neighbors. b) Pixel connectivity. c) Distance measure. d) Equivalence of pixels.
or ld
2. a) Explain the maximum distance algorithm for pattern classification. b) Explain briefly about i) Classification principle. ii) Cluster analysis.
6. Explain in detail the different derivative operations used for image sharpening.
nt
7. a) Explain the applications of source coding in the field of Image Processing. b) With an example explain the loss-less predictive coding.
Aj
8. a) Explain briefly about combined detection. b) Discuss the methods for detecting the discontinuities in an image.
**********
[16]
[16]
[8+8]
[8+8]
P.CODE: 17065
NR
SET : 2
.in
JAWAHARLAL NEHRU TECHNOLOGICAL UNIVERSITY HYDERABAD IV.B.TECH - I SEMESTER SUPPLEMENTARY EXAMINATIONS NOV/DEC, 2009 DIGITAL IMAGE PROCESSING (Common to ECE, BME, ETM) Time: 3hours Max.Marks:80 Answer any FIVE questions All questions carry equal marks --1. a) Explain about linear separability of pattern classes. b) Explain limitation of perceptron training algorithm? [8+8] 2. a) Explain about the salient features of a syntactic pattern recognition. b) Explain the types of grammars for syntactic pattern recognition.
[16]
or ld
3. Write short notes on: a) Pixel neighbors. b) Pixel connectivity. c) Distance measure. d) Equivalence of pixels.
[8+8]
4. Explain in detail the different derivative operations used for image sharpening.
[16]
[8+8]
6. a) Explain briefly about combined detection. b) Discuss the methods for detecting the discontinuities in an image.
[8+8]
uW
5. a) Explain the applications of source coding in the field of Image Processing. b) With an example explain the loss-less predictive coding.
7. a) Explain in detail about various features used for speech and fingerprint recognition. b) Explain the adaptive pattern recognition system with necessary functional block diagram? [8+8]
Aj
nt
8. a) Explain the maximum distance algorithm for pattern classification. b) Explain briefly about i) Classification principle. ii) Cluster analysis.
**********
[8+8]
P.CODE: 17065
NR
SET : 3
.in
JAWAHARLAL NEHRU TECHNOLOGICAL UNIVERSITY HYDERABAD IV.B.TECH - I SEMESTER SUPPLEMENTARY EXAMINATIONS NOV/DEC, 2009 DIGITAL IMAGE PROCESSING (Common to ECE, BME, ETM) Time: 3hours Max.Marks:80 Answer any FIVE questions All questions carry equal marks --1. Write short notes on: a) Pixel neighbors. b) Pixel connectivity. c) Distance measure. d) Equivalence of pixels.
[16]
or ld
2. Explain in detail the different derivative operations used for image sharpening.
[16]
3. a) Explain the applications of source coding in the field of Image Processing. b) With an example explain the loss-less predictive coding.
[8+8]
4. a) Explain briefly about combined detection. b) Discuss the methods for detecting the discontinuities in an image.
[8+8]
uW
5. a) Explain in detail about various features used for speech and fingerprint recognition. b) Explain the adaptive pattern recognition system with necessary functional block diagram? [8+8] 6. a) Explain the maximum distance algorithm for pattern classification. b) Explain briefly about i) Classification principle. ii) Cluster analysis. [8+8]
[8+8]
8. a) Explain about the salient features of a syntactic pattern recognition. b) Explain the types of grammars for syntactic pattern recognition.
[8+8]
Aj
nt
7. a) Explain about linear separability of pattern classes. b) Explain limitation of perceptron training algorithm?
**********
P.CODE: 17065
NR
SET : 4
2. a) Explain briefly about combined detection. b) Discuss the methods for detecting the discontinuities in an image.
.in
JAWAHARLAL NEHRU TECHNOLOGICAL UNIVERSITY HYDERABAD IV.B.TECH - I SEMESTER SUPPLEMENTARY EXAMINATIONS NOV/DEC, 2009 DIGITAL IMAGE PROCESSING (Common to ECE, BME, ETM) Time: 3hours Max.Marks:80 Answer any FIVE questions All questions carry equal marks --1. a) Explain the applications of source coding in the field of Image Processing. b) With an example explain the loss-less predictive coding. [8+8]
[8+8]
or ld
3. a) Explain in detail about various features used for speech and fingerprint recognition. b) Explain the adaptive pattern recognition system with necessary functional block diagram? [8+8] 4. a) Explain the maximum distance algorithm for pattern classification. b) Explain briefly about i) Classification principle. ii) Cluster analysis. [8+8]
[8+8]
6. a) Explain about the salient features of a syntactic pattern recognition. b) Explain the types of grammars for syntactic pattern recognition.
[8+8]
uW
5. a) Explain about linear separability of pattern classes. b) Explain limitation of perceptron training algorithm?
[16]
8. Explain in detail the different derivative operations used for image sharpening.
[16]
Aj
nt
7. Write short notes on: a) Pixel neighbors. b) Pixel connectivity. c) Distance measure. d) Equivalence of pixels.
**********
PRODUCTION TECHNOLOGY
b) Pixel connectivity. c) Distance measure. d) Equivalence of pixels. 6. Explain in detail the different derivative operations used for image sharpening. [16].
