Download EC8093 Digital Image Processing (DIP) Books Lecture Notes Syllabus Part A 2 marks with answers EC8093 Digital Image Processing (DIP) Important Part B 13 marks, Direct 16 Mark Questions and Part C 15 marks Questions, PDF Books, Question Bank with answers Key, EC8093 Digital Image Processing (DIP) Syllabus & Anna University EC8093 Digital Image Processing (DIP) Question Papers Collection, Electronics & Communication Engineering Regulation 2017 Study Materials (Notes).

Download link is provided and students can download the Anna University EC8093 Digital Image Processing (DIP) Syllabus Question bank Lecture Notes Part A 2 marks with answers Part B 13 marks and Part C 15 marks Question Bank with an answer, All the materials are listed below for the students to make use of it and score good (maximum) marks with our study materials.

“EC8093 Digital Image Processing (DIP) Notes, Lecture Notes, Previous Years Question Papers”

“EC8093 Digital Image Processing (DIP) Important 13 marks & 15 marks Questions with Answers”

“EC8093 Digital Image Processing (DIP) Important 2 marks & 16 marks Questions with Answers”

“EC8093 Digital Image Processing (DIP) Important Part A & Part B Questions”

“EC8093 Digital Image Processing (DIP) Syllabus, Local Author Books, Question Banks”

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EC8093 Digital Image Processing (DIP) Part A & Part B Important Questions with Answers

Semester	08
Department	Electronics & Communication Engineering (ECE)
Year	Fourth Year (IV Year)
Regulation	2017
Subject Code / Name	EC8093 Digital Image Processing (DIP)
Content	Syllabus, Question Banks, Local Authors Books, Lecture Notes, Important Part A 2 Marks Questions and Important Part B 13 Mark Questions, Direct 16 Mark Questions, Part C 15 Mark Questions, Previous Years Question Papers Collections.
Materials Format	PDF (Free Download)

EC8093 Digital Image Processing (DIP) Syllabus

UNIT I DIGITAL IMAGE FUNDAMENTALS

Steps in Digital Image Processing – Components – Elements of Visual Perception – Image Sensing and Acquisition – Image Sampling and Quantization – Relationships between pixels – Color image fundamentals – RGB, HSI models, Two-dimensional mathematical preliminaries, 2D transforms – DFT, DCT.

UNIT II IMAGE ENHANCEMENT

Spatial Domain: Gray level transformations – Histogram processing – Basics of Spatial Filtering– Smoothing and Sharpening Spatial Filtering, Frequency Domain: Introduction to Fourier Transform– Smoothing and Sharpening frequency domain filters – Ideal, Butterworth and Gaussian filters, Homomorphic filtering, Color image enhancement.

UNIT III IMAGE RESTORATION

Image Restoration – degradation model, Properties, Noise models – Mean Filters – Order Statistics – Adaptive filters – Band reject Filters – Band pass Filters – Notch Filters – Optimum Notch Filtering – Inverse Filtering – Wiener filtering.

UNIT IV IMAGE SEGMENTATION

Edge detection, Edge linking via Hough transform – Thresholding – Region based segmentation – Region growing – Region splitting and merging – Morphological processing- erosion and dilation, Segmentation by morphological watersheds – basic concepts – Dam construction – Watershed segmentation algorithm.

UNIT V IMAGE COMPRESSION AND RECOGNITION

Need for data compression, Huffman, Run Length Encoding, Shift codes, Arithmetic coding, JPEG standard, MPEG. Boundary representation, Boundary description, Fourier Descriptor, Regional Descriptors – Topological feature, Texture – Patterns and Pattern classes – Recognition based on matching.

Kindly Note: They different collections of EC8093 Digital Image Processing (DIP) Study materials are listed below. Each collection is different from others, Based on the candidate’s (your) knowledge & requirement choose the suitable material for your preparations.

• Regulation 2017 EC8093 Digital Image Processing (DIP) Syllabus – DOWNLOAD

EC8093 Digital Image Processing (DIP) Important Questions

• Important Questions Collection 1 – DOWNLOAD

EC8093 Digital Image Processing (DIP) Question Papers Collections

• Last 5 Years Anna University Question Papers Collection – DOWNLOAD

 

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