Vishwakarma Institute of Technology B.E. (Electronics)
Vishwakarma Institute of Technology B.E. (Electronics) Vishwakarma Institute of Technology B.E. (Electronics)
Bansilal Ramnath Agarwal Charitable Trust’s Vishwakarma Institute of Technology, Pune – 411 037 Department of Electronics Engineering FF No. : 654 EC42303 :: Digital Image Processing Credits: 01 Teaching Scheme: - Laboratory 2 Hrs/Week Prerequisites: Nil Objectives: • To familiarize the student with the basic concepts about image file formats • To understand various image enhancement approaches • To apply the basic morphology principles • To understand image segmentation • Mapping with PEO : 1,2,3,6,7,8,9 List of Practical 1. Study of BMP file format 2. Conversion of 24 bit color image to 8 bit , 4 bit, 1 bit image 3. Image negation, power Law correction 4. Histogram mapping & equalisation, stretching 5. Image smoothing , sharpening 6. Edge detection – use of Sobel, Prewitt and Roberts operators 7. Morphological operations on binary images 8. Morphological operations on Gray scale images 9. Pseudo coloring 10. Chain coding 11. Image statistics 12. DCT/IDCT computation 13. Transform application assignment. Text Books 1. Digital Image Processing, Gonzalez, Woods, PHI , 2 nd edition 2. Digital Image Processing, Pratt W.K., John Wiley, 2001 Reference Books 1. Fundamentals of Digital Image Processing, Jain A.K., PHI, 1997 2. Image Processing, Analysis & Machine Vision, Milan Sonka, Thomson Publication . Structure & Syllabus of B.E (Electronics ) Program – Pattern ‘C11’, Rev01, dt. 2/4/2011 62
Bansilal Ramnath Agarwal Charitable Trust’s Vishwakarma Institute of Technology, Pune – 411 037 Department of Electronics Engineering FF No. : 654 EC 47301:: Project (Stage II) Credits: 4 Teaching Scheme: - Lab 2 Hrs/Week Prerequisites: Knowledge of Basic engineering subjects. Objectives: • To support students’ learning and engagement with principles of undergraduate education. • To apply and enhance the knowledge acquired in the related field. • Mapping with PEO : 1 to 9 Guidelines for students 1. Group should maintain a logbook of activities throughout the project stages. It should have entries related to the work done, problems faced, solutions evolved, etc., duly signed by internal and external guides. 2. Regular discussions should be carried out with project guide. Students should refer Journal and transactions to keep themselves updated with the cutting edge technology evolving in the respective area. 3. Project progress review report must be submitted in the prescribed format only. No variation in the format will be accepted. Structure & Syllabus of B.E (Electronics ) Program – Pattern ‘C11’, Rev01, dt. 2/4/2011 63
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Bansilal Ramnath Agarwal Charitable Trust’s<br />
<strong>Vishwakarma</strong> <strong>Institute</strong> <strong>of</strong> <strong>Technology</strong>, Pune – 411 037<br />
Department <strong>of</strong> <strong>Electronics</strong> Engineering<br />
FF No. : 654<br />
EC42303 :: Digital Image Processing<br />
Credits: 01<br />
Teaching Scheme: - Laboratory 2 Hrs/Week<br />
Prerequisites: Nil<br />
Objectives:<br />
• To familiarize the student with the basic concepts about image file formats<br />
• To understand various image enhancement approaches<br />
• To apply the basic morphology principles<br />
• To understand image segmentation<br />
• Mapping with PEO : 1,2,3,6,7,8,9<br />
List <strong>of</strong> Practical<br />
1. Study <strong>of</strong> BMP file format<br />
2. Conversion <strong>of</strong> 24 bit color image to 8 bit , 4 bit, 1 bit image<br />
3. Image negation, power Law correction<br />
4. Histogram mapping & equalisation, stretching<br />
5. Image smoothing , sharpening<br />
6. Edge detection – use <strong>of</strong> Sobel, Prewitt and Roberts operators<br />
7. Morphological operations on binary images<br />
8. Morphological operations on Gray scale images<br />
9. Pseudo coloring<br />
10. Chain coding<br />
11. Image statistics<br />
12. DCT/IDCT computation<br />
13. Transform application assignment.<br />
Text Books<br />
1. Digital Image Processing, Gonzalez, Woods, PHI , 2 nd edition<br />
2. Digital Image Processing, Pratt W.K., John Wiley, 2001<br />
Reference Books<br />
1. Fundamentals <strong>of</strong> Digital Image Processing, Jain A.K., PHI, 1997<br />
2. Image Processing, Analysis & Machine Vision, Milan Sonka, Thomson<br />
Publication .<br />
Structure & Syllabus <strong>of</strong> B.E (<strong>Electronics</strong> ) Program – Pattern ‘C11’, Rev01, dt. 2/4/2011<br />
62
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