2003 Course - K. K. Wagh Education Society
2003 Course - K. K. Wagh Education Society 2003 Course - K. K. Wagh Education Society
Teaching Scheme Lectures: 4 Hours / Week Practical: 2 Hours / Week Theory: 100 Marks T/W: 25 Marks Examination Scheme Oral: 50 Marks Duration:3 Hrs. Objective: · Introducing The Concept Of Image In Digital Form · Analysis Of Digitized Images. · Processing And Restoration Of Images UNIT I : Introduction Scenes And Images, Application Of Image Processing, Image Processing System ( Hardware, Software ) , Vector Algebra, Orthogonal Transform, Fuzzy Sets And Properties UNIT II : Image Formation And Digitization Geometric Model, Photometric Model, Sampling, Digitization , Elements Of Digital Geometry, Image Properties , Representation. UNIT III : Image Processing Image Enhancement – Contrast Intensification, Smoothening, Sharpening Image Restoration -- Square Error Restoration Techniques, Singular Value Decomposition, Homomorphic Filtering. Image Compressing – Basic – Lossy Compression, Loss-Less Compression
UNIT IV : Segmentation : Region Extraction, Thresholding, Texture Based, Histogram Analysis Edge Detection : Preventive Operators, Edge Filtering Masks Feature Extraction : Representation, Topological Attributes, Geometric Attributes, Spatial Features Recognition : Deterministic, Statistical ,Fuzzy UNIT V : Color image processing and Morphology Color Models, Pseudo coloring And Color Displays, Spatial Interpolation, Binary Morphology –Dilation, Crosion Thinning, Thickening And Pruning, Gray Level Morphology UNIT –VI : Application Of Image Processing Image Processing in Multimedia , Medical Images Capture And Processing, Satellite Imagery, Stereography, Water Marking Text Books : 1. B. Chanda, D.Datta Mujumdar, “Digital Image Processing And Analysis”, PHI , 5 th Reprint ISBN-81-203-1618-5 2. R.C. Gonzalez, R.R. Woods, “Digital Image Processing Person Education “, ISBN – 81-7808-629-8 Reference: 1. William Pratt, “Digital Image Processing”, John Willey & Sons Inc. , ISBN-9- 814- 12620-9 2. Anil Jain, “Fundamentals Of Digital Image Processing”, Anil Jain PHI, ISBN-81- 203-0929-4
- Page 1 and 2: Structure of B.E (2003 Course):- De
- Page 3 and 4: UNIT II: Divide And Conquer And Gre
- Page 5 and 6: Background, Critical section proble
- Page 7 and 8: Teaching Scheme Lectures: 3 Hours /
- Page 9 and 10: • To learn issues in modeling lar
- Page 11 and 12: Error detection and recovery, Autom
- Page 13 and 14: • To Learn and Understand the kno
- Page 15: Utilization and functionality, arch
- Page 19 and 20: Introduction, Parallel database arc
- Page 21 and 22: • Learn key concepts of Multimedi
- Page 23 and 24: screening, color cycling, morphing
- Page 25 and 26: PART II: Assignments related to Ope
- Page 27 and 28: The project will be undertaken pref
- Page 29 and 30: Principles, RSA, ECC, DSA, key mana
- Page 31 and 32: UNIT III: Vector and Array Processo
- Page 33 and 34: . http://www.ibm.com/servers/eserve
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- Page 37 and 38: Text Books: 1. Andrew S. Tanenbaum
- Page 39 and 40: Text Books 1. Rajkamal, “Embedded
- Page 41 and 42: Conceptual view of ISDN and ISDN st
- Page 43 and 44: Understanding quality attributes, a
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Teaching Scheme<br />
Lectures: 4 Hours / Week<br />
Practical: 2 Hours / Week<br />
Theory: 100 Marks<br />
T/W: 25 Marks<br />
Examination Scheme<br />
Oral: 50 Marks<br />
Duration:3 Hrs.<br />
Objective:<br />
· Introducing The Concept Of Image In Digital Form<br />
· Analysis Of Digitized Images.<br />
· Processing And Restoration Of Images<br />
UNIT I :<br />
Introduction<br />
Scenes And Images, Application Of Image Processing, Image Processing System<br />
( Hardware, Software ) , Vector Algebra, Orthogonal Transform, Fuzzy Sets And<br />
Properties<br />
UNIT II :<br />
Image Formation And Digitization<br />
Geometric Model, Photometric Model, Sampling, Digitization , Elements Of Digital<br />
Geometry, Image Properties , Representation.<br />
UNIT III :<br />
Image Processing<br />
Image Enhancement – Contrast Intensification, Smoothening, Sharpening Image<br />
Restoration -- Square Error Restoration Techniques, Singular Value Decomposition,<br />
Homomorphic Filtering. Image Compressing – Basic – Lossy Compression, Loss-Less<br />
Compression
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