Machine VIsion and Image Processing detail syllabus for Manufacturing Technology (MT), 2019-20 scheme is taken from AKTU official website and presented for AKTU students. The course code (RME066:), and for exam duration, Teaching Hr/Week, Practical Hr/Week, Total Marks, internal marks, theory marks, and credits do visit complete sem subjects post given below.
For all other mt 6th sem syllabus for b.tech 2019-20 scheme aktu you can visit MT 6th Sem syllabus for B.Tech 2019-20 Scheme AKTU Subjects. For all other Departmental Elective-2 subjects do refer to Departmental Elective-2. The detail syllabus for machine vision and image processing is as follows.
Unit I
For the complete syllabus, results, class timetable and more kindly download iStudy. It’s a lightweight, easy to use, no images, no pdfs platform to make student’s life easier.
Unit II
Image Enhancement in the spatial domain 4L Basic gray level transformations-histogram processingEnhancement using arithmetic/logic operations-Basics of spatial filtering-comparison between smoothing and sharpening spatial filters.
Unit III
Image Enhancement in the frequency domain 4L 1D Fourier transform-2D Fourier transform and its Inverse-Smoothing & sharpening frequency domain filters (Ideal, Butterworth, Gaussian)-homomorphic filtering.
Image compression 4L Fundamentals-Image compression, Error-free compression: Huffman coding, block coding, constant area coding, variable length coding; bit-plane coding; lossless predictive coding.
Unit IV
For the complete syllabus, results, class timetable and more kindly download iStudy. It’s a lightweight, easy to use, no images, no pdfs platform to make student’s life easier.
Unit V
2D & 3D vision 6L 16 Competing technologies, principle, CCD, Videcon and other cameras, data capture. Triangulation geometry, resolution, passive and active 3-D stereo imaging, data processing
Reference Books:
- Principles of Artificial Intelligence by N.J.Nilsson, Kaufmann.
- Introduction to AI and Expert Systems by D.W.Patterson, Prentice Hall.
- Image Processing, Analysis and Machine Vision by Milan Sonka, Vaclav Hlavac, Roger Boyle, 2nd Edition, PWS Publishers.
- Machine Learning, V.K. Jain, Khanna Publishing House.
- Robotics (Control, Sensing, Vision and Intelligence) by K. S. Fu, R. C. Gonzalez and C. S. G. Lee, McGrawHill Publications.
For detail syllabus of all other subjects of B.Tech Mt, 2019-20 regulation do visit Mt 6th Sem syllabus for 2019-20 Regulation.
Don’t forget to download iStudy for the latest syllabus, results, class timetable and more.