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Monday

Unit 1 (part1)

April 12, 2021 No Comments

Unit 1

Digital Image Processing – Introduction to Digital Image Processing
Subject – Image Processing and Machine VisionVideo Name – Digital Image ProcessingChapter – Introduction to Digital Image ProcessingFaculty – Prof. Vaibhav P…
Origins of Digital Image Processing – Introduction to Digital Image Processing
Subject – Image Processing and Machine VisionVideo Name – Origins of Digital Image ProcessingChapter – Introduction to Digital Image ProcessingFaculty – Prof…
Applications of Digital Image Processing – Introduction to Digital Image Processing
Subject – Image Processing and Machine VisionVideo Name – Applications of Digital Image ProcessingChapter – Introduction to Digital Image ProcessingFaculty -…
Fundamental Steps in Digital Image Processing – Introduction to Digital Image Processing
Subject – Image Processing and Machine VisionVideo Name – Fundamental Steps in Digital Image ProcessingChapter – Introduction to Digital Image ProcessingFacu…
Components of Image Processing System – Introduction to Digital Image Processing
Components of Image Processing System Video Lecture from Introduction to Digital Image Processing Chapter of Digital Image Processing Subject for all Enginee…
Structure of Human Eye – Digital Image Fundamentals – Image Processing and Machine Vision
Subject – Image Processing and Machine VisionVideo Name – Structure of Human EyeChapter – Digital Image FundamentalsFaculty – Prof. Vaibhav PanditWatch the v…
Image Formation in The Eye – Digital Image Fundamentals – Image Processing and Machine Vision
Subject – Image Processing and Machine VisionVideo Name – Image Formation in The EyeChapter – Digital Image FundamentalsFaculty – Prof. Vaibhav PanditWatch t…
Image Sensing and Image Acquisition – Digital Image Fundamentals – Image Processing & Machine Vision
Subject – Image Processing and Machine VisionVideo Name – Image Sensing and Image AcquisitionChapter – Digital Image FundamentalsFaculty – Prof. Vaibhav Pand…
Image Sampling and Quantization – Digital Image Fundamentals – Image Processing and Machine Vision
Subject – Image Processing and Machine VisionVideo Name – Image Sampling and QuantizationChapter – Digital Image FundamentalsFaculty – Prof. Vaibhav PanditWa…
Classification of Digital Images – Digital Image Fundamentals – Digital Image Processing
Classification of Digital Images Video Lecture from Digital Image Fundamentals Chapter of Digital Image Processing Subject for all Engineering Students.Acces…
Types of Images – Digital Image Fundamentals – Image Processing and Machine Vision
Subject – Image Processing and Machine VisionVideo Name – Types of ImagesChapter – Digital Image FundamentalsFaculty – Prof. Vaibhav PanditWatch the video le…
Image File Formats – Digital Image Fundamentals – Image Processing
Subject – Image ProcessingVideo Name – Image File FormatsChapter – Digital Image FundamentalsFaculty – Prof. Vaibhav PanditWatch the video lecture on the Top…
Image Resolution – Digital Image Fundamentals – Image Processing and Machine Vision
Subject – Image Processing and Machine VisionVideo Name – Image ResolutionChapter – Digital Image FundamentalsFaculty – Prof. Vaibhav PanditWatch the video l…

Unit 1

April 12, 2021 No Comments

Tuesday

Monday

Software Testing

March 15, 2021 No Comments

Syllabus

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.

Click Here

White Box Testing (WBT) and Black Box Testing: Static testing, Structural testing, Challenges in WBT.

PPT1

Black box testing: Black box testing process.

PPT2    

PPT3

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.

PPT

Extra PPT

UNIT III System and Acceptance Testing:

Functional Vs non Functional, Functional system testing, Non-functional system testing, Acceptance testing.

PPT (Unit III, Unit IV, Unit V)

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.

Adhoc Testing (PPT)

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.

Question Bank (New 20-05-2023)

Digital Image Processing

March 15, 2021 No Comments

 Syllabus

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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 

Questions on Color Model

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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Sunday

Digital Image Processing Lab Syllabus

March 14, 2021 No Comments

 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.

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