GI3402 Subject code deals with the semester IV Subject Digital Image Processing syllabus of Anna University 2021 Revised regulation syllabus of B.E Geo Informatics Engineering. It is provided based on the student’s point of view to prepare well for academic examinations.
In this article, we would like to discuss the GI3402 – Digital Image Processing Syllabus. To get good marks in the academic examinations, need a certain guide to assist you with the chapter-wise syllabus right? We include the chapter-wise syllabus for students, to assist them simply. A clear picture of the syllabus in your mind helps to understand the topics from every unit or chapter.
Then you will get an idea of where to begin from the whole syllabus by separating the topics easy from hard topics. Having command of the subject syllabus makes it easy to revise the syllabus for examination and helps you to excel in academics. The following article will give you sufficient information regarding the syllabus. Don’t forget to share it with your friends.
If you want to know more about the syllabus of B.E Geo-Informatics Engineering connected to affiliated institutions under a four-year undergraduate degree program. We provide you with a detailed Year-wise, semester-wise, and Subject-wise syllabus in the following link B.E Geo-Informatics Engineering Syllabus Anna University, Regulation 2021. Hoping this information is useful to you.
Aim Of Concept:
- To make the undergraduate Engineering Students understand the concepts, principles, processing of Satellite data in order to extract useful information from them.
GI3402- Digital Image Processing Syllabus
Unit I: Fundamentals Of Image Processing
Definition – Image Representation – Steps in DIP-– Components – Elements of Visual Perception – Image Formation – Image Sampling and Quantization- Image acquisition, storage and retrieval –Relationships between pixels – Color image fundamentals – RGB, HSI models- data products – satellite data formats – Digital Image Processing Systems – Hardware and software design consideration.
Unit II: Preprocessing
Image Characteristics – Histograms – Scattergrams –Initial statistics – Univariate and multivariate statistics-Initial image display- Ideal display, types, Sensor models – spatial, spectral, radiometric, temporal – IFOV, GIFOV& GSI – geometry and Radiometry – Sources of Image degradation and Correction procedures – Atmospheric, Radiometric, Geometric Corrections- Image Geometry Restoration-Interpolation methods and resampling techniques.
Unit III: Image Enhancement
Image characteristics- point, local and regional operation – contrast, spatial feature and multi-image manipulation techniques – level slicing, contrast stretching, spatial filtering, edge detections – Fourier transform-FFT, DFT – Band ratio – Principal Component Analysis (PCA) – Scale-space transform multi-image fusion.
Unit IV: Image Classification
Pattern recognition concepts – Bayes approach – spectral Signature and training sets – Separability test – Supervised Classification – stages – Minimum distance to mean, Parallelepiped, MLC – Unsupervised classifiers – ISODATA, K-means-Support Vector Machine – sub-pixel classifier– Error matrix -Accuracy assessment – accuracy metrics: Kappa statistics, ERGAS, RMS.
Unit V: Advanced Classifiers
Texture-based classification -Segmentation (Spatial, Spectral)-regions Fuzzy set classification – Object-based classifiers – Deep Learning – Artificial Neural nets: Hebbian leaning – Adaline, Madaline, BPN – hybrid classifiers – Neuro – Fuzzy models- Expert system – Knowledge based systems,
Textbooks:
- John,R.Jensen, Introductory Digital Image Processing, Prentice Hall, NewJersey, 2021 Fourth edition.
- Robert, A. Schowengergt, Techniques for Image Processing and classification in Remote Sensing,1983.
References:
- Robert, G. Reeves,-Manual of Remote Sensing Vol.I &II- American Society of Photogrammetry, Falls, Church, USA,1983.
- John.A Richards, Remote sensing digital Image Analysis – An Introduction Springer-Verlag, Fifth Edition, 2014.
- Digital Image Processing by Rafael C. Gonzalez, Richard Eugene Woods – Pearson/Prentice Hall, Fourth edition, 2022.
- Fundamentals of Digital Image Processing by Annadurai Pearson Education (2007)
Related Posts On Semester – IV:
- GI3401 – Sensors and Data products
- GI3403 – Microwave Remote Sensing
- GI3491 – Cartography and GIS
- GI3492 – Total Station and GPS Surveying