Department)of)Computer)Science)and)Technology,)UTU 2014%utu.ac.in/dcst/download/documents/LPMSCIT060010707.pdf · Department)of)Computer)Science)and)Technology,)UTU)2014%! Mr.)Sapan)Naik)

Department of Computer Science and Technology, UTU 2014

Mr. Sapan Naik Page 1

Five Years Integrated M.Sc. (I.T.) (Semester 7) Teaching Schedule

060010707: Digital Image Processing

Objective: To make students understand the fundamentals of digital image and processing techniques that includes enhancement in spatial domain, segmentation, morphological processing, extracting features, representation and description. Programme Outcomes: The student will have PO1. Proficiency in and ability to apply knowledge of computer science and application and mathematics

through different equations, probability and statistics. PO2. Ability to design and develop system, component or process as well as test and maintain it. PO3. Understanding of professional and ethical responsibility. PO4. Recognition of the need for and an ability to engage in life-‐long learning. PO5. Knowledge of modern issues. PO6. Ability to use the techniques, skills and modern tools as necessary for software development. Course Outcomes: Upon completion of the course students shall be able to CO1. Express digital image, its type and processing steps. CO2. Describe image resolutions, classification of image operations and fundamental tools require in digital

image processing. CO3. Practice image enhancement in spatial domain. CO4. Identify the need of image segmentation and practice its technique. CO5. Recognize the morphological operations on image. CO6. Express the image features representation and description.

Unit Sub Unit

No. of Lecture(s) Topics

Reference Chapter/ Additional Reading

Teaching Methodology to be used

Evaluation Parameter

Unit 1 : Introduction to Image Processing

1.1 0.5 Overview and Related Fields SS #1 pg no 1 -‐ 6

PPT/ Discussion

1.2 0.5 Digital Image Representation SS #1 pg no 7-‐8 PPT/

Demonstration in Photoshop

1.3 2

Types of Image: Based on Attributes, Colour, Dimensions and Data Types

SS #1 pg no 9-‐14

1.4 2

Steps in Image Processing SS #1 pg no 15-‐21

PPT/ Explaination and Discussion

1.5 Applications SS #1 pg no 22-‐25

Assignment

Unit 2 : Digital Image Fundamentals and Operations

2.1 1 Image Sampling and Quantization

SS #2 pg no 45-‐49

PPT/ Discussion

2.2 1

Image Quality: Optical Resolution, Image Display Devices and Device Resolution

SS #2 pg no 50-‐52

Demonstration in Photoshop

2.3 1 Image Storage and File Formats

SS #2 pg no 61-‐63

2.4 2 Basic Relationships and Distance Metrics

SS #3 pg no 67-‐74

PPT/ Explaination



2.5 2

Classification of Image Processing Operations: Arithmetic, Logical, Geometrical, Interpolation, Set, Statistical, Convolution and Correlation Operations.

SS #3 pg no 75-‐112

2.6 2 Data Structures and Image Processing Applications Development

SS #3 pg no 113-‐121

Quiz 1

Unit 3 : Image Enhancement in Spatial Domain

3.1 1 Need SS #5 pg no 169-‐177

PPT/ Discussion

3.2 1

Image Enhancement using Point Operations: Linear and Non-‐Linear Functions, Digital Negative

SS #5 pg no 178-‐180

3.3 2

Non-‐Linear Operations: Square Root, Square, Logarithm and Power Function

SS #5 pg no 178-‐180

3.4 2 Piecewise Linear Functions: Contrast Stretching and its Variant

SS #5 pg no 181

3.5 1 Histogram-‐based Technique SS #5 pg no 189-‐195

PPT/ Demonstration in MATLAB

3.6 3

Spatial Filtering: Image Smoothing and Sharpening, Noise removal using Mean Filters, Order Statistics Filters

SS #5 pg no 196-‐206

SS #5 pg no 222-‐226

Unit Test 1

Unit 4 : Image Segmentation

4.1 1 Introduction SS #7 pg no 286-‐287

PPT/ Demonstration in MATLAB

4.2 1 Classification of Image Segmentation Algorithm

SS #7 pg no 288-‐289

4.3 2

Detection of Discontinuities and Stages in Edge Detection: Filtering, Differentiation, Localization

SS #7 pg no 290-‐291

4.4 2 Types of Edge Detector SS #7 pg no 291-‐295

4.5 2

First-‐Order Edge Detection Operators: Roberts Operators, Prewitt Operators, Sobel Operators

SS #7 pg no 295-‐300 Reading book

and from web / Discussion

4.6 2 Second-‐Order Derivative Filters: Laplacian Masks

SS #7 pg no 300-‐308

Quiz 2

Unit 5 : Image Morphology

5.1 1 Need for Morphological Processing

SS #9 pg no 375-‐376 PPT/

Discussion

5.2 1 Structuring Elements SS #9 pg no 376-‐377

5.3 2 Morphological Operators: Dilation, Erosion, Opening and Closing

SS #9 pg no 378-‐388

Reading from web and discussion

5.4 1 Hit or Miss Transform SS #9 pg no 388

5.5 3 Morphological Algorithm: SS #9 pg no Unit Test 2



Boundary Extraction, Noise Removal, Thining, Thickening, Convex Hull, Skeletonization and Watershed Algorithm.

388-‐397

Unit 6 : Image Features Representation and Description

6.1 1 Image Features: Characteristics and Classification

SS #10 pg no 408-‐410 Reading book

and Explaination

6.2 2 Boundary Representation: Chain Code and Polygonal Approximations

SS #10 pg no 411-‐419

6.3 2

Boundary Descriptions: Simple Descriptors, Shape Number and Run-‐length Code

SS #10 pg no 420-‐423

Reading from web and

explaination

6.4 1 Component Labeling SS #10 pg no 424-‐425 Internal Exam

Text Book: 1. Sridhar S., Digital Image Processing, OXFORD – [SS]

Reference Book:

1. Chanda B., Majumder D. -‐ Digital Image Processing and Analysis – PHI 2. Jain A. -‐ Fundamental of Digital Image Processing -‐ PHI 3. Yadav A., Yadav P., Digital Image Processing, University Press 4. Sonka M., Hlavac V., Boyle R. -‐ Image Processing, Analysis, and Machine Vision -‐ Thomson Learning 5. Joshi M., Digital Image Processing An Algorithmic Approach, EEE

2. Note : # denotes chapter number.

Course Objectives and Course Outcomes Mapping: Course Objective CO1 CO2 CO3 CO4 CO5 CO6 To make students understand the fundamentals of digital image and image fundamentals

✔ ✔

Image processing techniques that includes enhancement in spatial domain, segmentation, morphological processing, extracting features, representation and description

✔ ✔ ✔ ✔

Course Units and Course Outcomes Mapping: Unit No. Unit Course Outcomes CO1 CO2 CO3 CO4 CO5 CO6 1 Introduction to Image Processing ✔ 2 Digital Image Fundamentals and Operations ✔ ✔ ✔ ✔ ✔ 3 Image Enhancement in Spatial Domain ✔ ✔ ✔ 4 Image Segmentation ✔ ✔ ✔ 5 Image Morphology ✔ ✔ ✔ 6 Image Features Representation and Description ✔ ✔ Programme Outcomes and Course Outcomes Mapping:

CO1 CO2 CO3 CO4 CO5 CO6 PO1 ✔ ✔ ✔ ✔ ✔ ✔ PO2 ✔ ✔ ✔ PO3 PO4 ✔ ✔ ✔ ✔ ✔ ✔ PO5 ✔ ✔ ✔ ✔ ✔ ✔ PO6 ✔ ✔ ✔ ✔ ✔ ✔



Hands-‐on experience activity: Ø Students shall be practicing image-‐processing techniques (i.e. segmentation, edge detection, filtering)

using MATLAB or any image processing software package on their personal laptops.

For presentation, the students shall work in teams and the following points shall be followed: Ø The presentation title shall be made available during the 4th week of the semester. Ø Each team shall consist of at the most 3 and not less than 2 students. Ø Each group shall have a different presentation topic. Ø Subject teacher will give approval of presentation topic. Ø After 6th week, student shall start giving presentation.

Modes of transaction (i.e. Delivery)

Ø Lecture Method: is generally used but along with it, as and when required, discussion method would be fruitful. It shall be supplemented with various appropriate audio-‐visual aids.

Ø Apart of lecture method, assignment activity shall be designed for unit 1 to 4 and presentation on color models for digital image.

Activities/Practicum: The following activities shall be carried out by the students.

Ø Write code in MATLAB to read and segment digital image. Ø Study 2 research papers of IEEE or Elsevier (year 2012-‐13) on digital image processing.

The following activities shall be carried out by the teacher.

Ø Demonstration of real world image processing applications, which includes fruit grading and fingerprint recognition.

Ø Discussion on image processing related problem definitions which includes segmentation in shadow and color feature extraction.

Concept Map Digital Image Processing



Unit-‐1: Introduction to Image Processing

Unit-‐2: Digital Image Fundamentals and Operations



Unit-‐3: Image Enhancement in Spatial Domain

Unit-‐4: Image Segmentation



Unit-‐5: Image Morphology

Unit-‐6: Image Features Representation and Description

Documents

Department)of)Computer)Science)and)Technology,)UTU 2014%utu.ac.in/dcst/download/documents/LPMSCIT060010707.pdf · Department)of)Computer)Science)and)Technology,)UTU)2014%! Mr.)Sapan)Naik)