Engineering / Computer vision reference
Machine Vision
Machine Vision by Ramesh Jain, Rangachar Kasturi, and Brian G. Schunck is a substantial computer vision text for engineering libraries, computer science courses, and faculty who need dependable coverage of image processing, optics, calibration, motion, and object recognition.
572 pages
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Practical Computer Vision Reference for Image Analysis and Recognition
Machine Vision is a technical reference for readers working with the foundations of computer vision: how images are captured, processed, segmented, interpreted, and connected to real-world objects or scenes. Public library and catalogue records describe the title as an applied introduction for people who want to solve practical machine-vision problems.
The public table-of-contents records cover binary image processing, regions, image filtering, edge detection, contours, texture, optics, shading, color, depth, calibration, curves and surfaces, dynamic vision, and object recognition. That range makes the book useful for engineering, computer science, robotics, industrial inspection, and image-analysis collections.
For libraries, this is the kind of title that supports older and transitional computer vision courses as well as historical reference shelves. For professors, a reprint enquiry may be useful when a class still cites the text, when a departmental copy is missing, or when a research group needs copies for shared technical reference.
Academic Coverage
What This Book Covers
Machine Vision is positioned for computer vision / engineering readers who want to confirm the title scope before requesting copies.
- Binary image processing, regions, filtering, edge detection, contours, and texture
- Optics, shading, color, depth, camera calibration, curves, and surfaces
- Dynamic vision, motion analysis, object recognition, and practical algorithm use
- Engineering reference for computer vision courses, robotics labs, and research groups
Book Details Index
Quick Reference for Ordering and Review
SubjectComputer Vision / Engineering
BindingAcademic edition
Page Count572
Edition Year2016
ISBN9382661344
AvailabilityQuote on request
Best For
Where This Title Fits Best
- Computer vision and image processing courses
- Engineering and computer science libraries
- Faculty reference copies for older reading lists
- Research groups comparing classical vision methods
Detailed Topic Index
What This Book Helps Readers Find
Use this page when searching for Machine Vision by exact title, by the three-author combination, or by ISBN 9382661344. Public records connect the book with practical computer vision system design, image-processing algorithms, feature extraction, calibration, motion, and recognition.
- binary image processing
- regions and segmentation
- image filtering
- edge detection
- contours
- texture
- optics and shading
- color
- depth and calibration
- curves and surfaces
- dynamic vision
- object recognition
Search Terms
Useful Catalogue and Subject Terms
binary image processing
regions and segmentation
image filtering
edge detection
contours
texture
optics and shading
Machine Vision
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For direct Google searches, this page is built around the exact book title Machine Vision, the author name Ramesh Jain, Rangachar Kasturi, Brian G. Schunck, and ISBN 9382661344. Those identifiers are the safest way for students, faculty members, acquisition staff, and library teams to reach the correct full book information page.
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