Digital Image processing:
Link: will be activated at 3.10 pm and will stop at 3.30 PM
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Software Testing
Link: will be provided at 4.10 pm and will stop at 4.30 PM
Last Date to upload 06 June 2021
Unit 1:
Principles of Testing Software development life cycle model: Phases of software project, Quality, Quality assurance and quality control, Testing, Verification and validation, Process models to represent various phases, Life cycle models, Software testing life cycle. White Box Testing (WBT) and Black Box Testing: Static testing, Structural testing, Challenges in WBT. Black box testing: Black box testing process.
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Unit 1: Principles of Testing, Software development life cycle model: Phases of software project, Quality, Quality assurance and quality control, Testing, Verification and validation, Process models to represent various phases, Life cycle models, Software testing life cycle. White Box Testing (WBT) and Black Box Testing: Static testing, Structural testing, Challenges in WBT. Black box testing: Black box testing process. |
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UNIT II Integration Testing: Definition, As a type of testing: Top-down integration, Bottom-up integration, Bidirectional integration, System integration, Choosing integration method, As a phase of testing, Scenario testing: System scenarios, Use case scenarios, Defect bash. |
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UNIT III System and Acceptance Testing: Functional Vs non Functional, Functional system testing, Non-functional system testing, Acceptance testing. |
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UNIT IV Performance testing, Regression testing, Internationalization testing, Adhoc testing: Factors governing performance of testing, Methodology, tools and process for performance testing. Regression Testing: Introduction, Types of Regression testing, Regression testing process. Adhoc testing: Introduction, Buddy testing, Pair testing, exploratory testing, Iterative testing, Agile and Extreme testing, XP work flow, Defect seeding. |
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UNIT V Testing Object-Oriented Software: Introduction, Comparison of object oriented and procedural software, System testing example, Unit testing of classes, Tools for testing object oriented software, Testing web applications. |
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UNIT I Image fundamentals: Image acquisition, sampling and quantization, image resolution,
Videos :Click here
basic relationship between pixels,
Videos : click here
color images, RGB, HSI and other models.
Videos: click here
PPT (Unit 1) (by Prof. P. Ulhe)
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Unit II: Two dimensional transforms: 2D-Discrete fourier transform, discrete cosine transform, Walsh Hadamard transform, Haar transform, KL transform, and discrete wavelet transform.
Question bank Unit 1 and Unit 2
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Unit 3:
Spatial domain Processing: Point processing such as digital negative, contrast stretching, thresholding, gray level slicing, bit plane slicing, log transform and power law transform, neighbourhood processing such as averaging filters, order statistics filters, high pass filters and high boost filters, histogram equalization and histogram specification, frequency domain such as DFT for filtering, ideal, Gaussian and butterwort filters for smoothening and sharpening, and homomorphic filters.
File 2: Question bank
unit 3 ppt (by prof Vishal Moyal)
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Unit 4:
Image segmentation and morphology: Point, line and edge detection, edge linking using Hough transform and graph theoretic approach, thresholding, and region based segmentation, dilation, erosion, opening, closing, hit or miss transform, thinning and thickening, and boundary extraction on binary images.
File 4 Question bank
File 5 Question Bank
unit 4 ppt (by prof Vishal Moyal)
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| Unit 5: Degradation model, noise models, estimation of degradation function by modelling, restoration using Weiner filters and inverse filters. File 6: |
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| Unit 6: Video formation, perception and representation: Digital video sampling, video frame classifications, I, P and B frames, notation, ITU-RBT 601 digital video formats, digital video quality measure, video capture and display: principle of colour video camera, video camera, digital video, sampling of video signals: required sampling rates, sampling in two dimensions and three dimensions, progressive virus interlaced scans, two dimensional motion estimation, block matching algorithms. Q.1 What are the required sampling rates for video signals? Explain video sampling in three dimensions. Q.2 classifications of video frames Full Reference: https://nptel.ac.in/courses/117/104/117104020/ |
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Course Title: Digital Image Processing Lab
Semester VI
Course Code BTITL608
Course Type Mandatory
Pre-requisite OOP with C++
L – T – P 0 – 0 – 2 Stream
Core Credits 1
Lab Experiments List: Study of “Matlab/Scilab or any other open source Image Processing Toolbox” and experiments as per the syllabus, to be decided by the concerned faculty.
Course Title: Software Testing (Semester VI) Course Code: BTITPE603A Course Type: Elective Prerequisite: Software Engineering L – T – P: 3 – 0 – 0 Stream: Software Application & Development Credits: 3
Course Objectives:
Course Outcomes: Upon completion of the course, students should be able to:
Course Contents: UNIT I: Principles of Testing
UNIT II: Integration Testing
UNIT III: System and Acceptance Testing
UNIT IV: Performance, Regression, and Internationalization Testing
UNIT V: Testing Object Oriented Software and Web Applications
Textbook:
Reference Books:
