Notes, papers, solutions, question banks, practical files and viva questions.
Image capture and digitization; Image transforms; Digital Fourier transform; Fast Fourier transform; Other transforms; Convolution; Image enhancement; Spatial methods; Frequency domain methods; Image restoration.
Geometric transformation; Image compression; error free and lossy compression; Edge detection; Hough transform; Region based segmentation; image feature / region representation and descriptors; Morphological operators.
Feature based matching; Baye’s classification; Low level vision; Introduction to stereopsis, Shape from shading; Optical flow; Rule based picture segmentation; tutorial exercise will emphasize development and evaluation of image algorithms.
Books:
1. Image Processing, Analysis and Machine Vision Milan Sanka, Vaclav Hlavac and Roger Boyle Vikas Publishing
2. Digital Image Processing Kenneth & Castleman Prentice Hall India
3. Digital Image Processing Conzalez RC & P Wint Addision Wesley
4. Digital Image Processing & Analysis Chandra and Mazumdar Prentice Hall India ADDITIVE MANUFACTURING AND TOOLING
As per the latest AKTU syllabus — cross-check electives with your college.
Where can I download Machine Vision (MTME052) notes for AKTU?
This page has upcoming Machine Vision notes for AKTU M.Tech ME semester 2, aligned with the latest AKTU syllabus. Free resources download instantly; premium ones unlock right after payment.
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Which semester is Machine Vision taught in for ME?
Machine Vision (MTME052) is a semester 2 subject in the AKTU M.Tech Mechanical Engineering (ME) curriculum.
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