TY  - BOOK
AU  - Nitzberg,Mark
AU  - Mumford,David
AU  - Shiota,Takahiro
ED  - SpringerLink (Online service)
TI  - Filtering, Segmentation and Depth
T2  - Lecture Notes in Computer Science,
SN  - 9783540475705
AV  - TA1637-1638 
U1  - 006.6 23
PY  - 1993///
CY  - Berlin, Heidelberg
PB  - Springer Berlin Heidelberg
KW  - Computer science
KW  - Software engineering
KW  - Artificial intelligence
KW  - Computer vision
KW  - Computer Science
KW  - Image Processing and Computer Vision
KW  - Artificial Intelligence (incl. Robotics)
KW  - Software Engineering/Programming and Operating Systems
N1  - Overview -- Filtering for occlusion detection -- Finding contours and junctions -- Continuations -- Finding the 2.1D sketch -- Conclusion
N2  - Computer vision seeks a process that starts with a noisy, ambiguous signal from a TV camera and ends with a high-level description of discrete objects located in 3-dimensional space and identified in a human classification. This book addresses the process at several levels. First to be treated are the low-level image-processing issues of noise removaland smoothing while preserving important lines and singularities in an image. At a slightly higher level, a robust contour tracing algorithm is described that produces a cartoon of the important lines in the image. Thirdis the high-level task of reconstructing the geometry of objects in the scene. The book has two aims: to give the computer vision community a new approach to early visual processing, in the form of image segmentation that incorporates occlusion at a low level, and to introduce real computer algorithms that do a better job than what most vision programmers use currently. The algorithms are: - a nonlinear filter that reduces noise and enhances edges, - an edge detector that also finds corners and produces smoothed contours rather than bitmaps, - an algorithm for filling gaps in contours
UR  - http://dx.doi.org/10.1007/3-540-56484-5
ER  -