Machine Vision detailed syllabus for Automation & Robotics (RA) for 2021 revision curriculum has been taken from the SITTTRs official website and presented for the Automation & Robotics (RA) students. For course code, course name, number of credits for a course and other scheme related information, do visit full semester subjects post given below.
For Automation & Robotics 5th Sem scheme and its subjects, do visit Automation & Robotics (RA) 5th Sem 2021 regulation scheme. For Professional Elective-I scheme and its subjects refer to Automation & Robotics (RA) Professional Elective-I syllabus scheme. The detailed syllabus of machine vision is as follows.
Course Objectives:
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Course Outcomes:
On completion of the course, the student will be able to:
- Understand the vision capturing systems and its industry standards.
- To know about Image Representation, Matching and Inference
- To expose the students to image feature detection and matching.
- Apply various transform tools like frequency domain and affine transform.
Module 1:
Image Acquisition, Lenses and Cameras: Pinhole camera, Gaussian Optics, Depth Field, Telemetric lenses, Lens aberrations Cameras: CCD cameras, CMOS Camera, Colour cameras: Single chip cameras, Three chip cameras, Camera performance parameters: noises, dynamic range, Camera-Computer interfaces, Digital video signals: camera link, IEEE1394, USB2.0, USB 3 vision
Module 2:
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It is a lightweight, easy to use, no images, and no pdfs platform to make students’s lives easier..
Module 4:
Image Segmentation: Region Growing, Edge Based approaches to segmentation, Graph-Cut, Mean-Shift, MRFs, Texture Segmentation; Object detection.
Text Books:
For the complete syllabus, results, class timetable, and many other features kindly download the iStudy App
It is a lightweight, easy to use, no images, and no pdfs platform to make students’s lives easier..
- Carsten Steger, Markus Ulrich, Christian Wiedemann, Machine Vision Algorithms and Applications, WILEY-VCH, Weinheim,2008.
- Computer Vision: A Modern Approach, D. A. Forsyth, J. Ponce, Pearson Education, 2003.
Reference Books:
- Rafael C. Gonzalez and Richard E.woods, Digital Image Processing, Addition – Wesley Publishing Company, New Delhi, 2007.
- Shimon Ullman, High-Level Vision: Object recognition and Visual Cognition, A Bradford Book, USA, 2000.
- R.Patrick Goebel, ROS by Example: A Do-It-Yourself Guide to Robot Operating System -Volume I, A Pi Robot Production, 2012.
For detailed syllabus of all other subjects of Automation & Robotics, 2021 revision curriculum do visit Automation & Robotics (RA) 5th Sem subject syllabuses for 2021 revision.
To see the syllabus of all other branches of diploma 2021 revision curriculum do visit SITTTR diploma all branches syllabus..
To see the results of Automation & Robotics of diploma 2021 revision curriculum do visit SITTTR diploma results..
For all Automation & Robotics academic calendars, visit Automation & Robotics all semesters academic calendar direct link.