000 02192nam a2200205 a 4500
001 ASIN0122060938
005 20190522114316.0
008 120214s2005 xxu eng d
020 _a0122060938 (hardcover)
_c$105.00
020 _a9780122060939 (hardcover)
100 1 _aDavies, E. R.
245 1 0 _aMachine vision, third edition :
_btheory, algorithms, practicalities /
_cE. R. Davies.
250 _a3rd ed.
260 _a[S.l.] :
_bMorgan Kaufmann,
_c2005.
300 _a934 p. ;
_c24 cm.
490 1 _aSignal processing and its applications.
520 _aIn the last 40 years, machine vision has evolved into a mature field embracing a wide range of applications including surveillance, automated inspection, robot assembly, vehicle guidance, traffic monitoring and control, signature verification, biometric measurement, and analysis of remotely sensed images. While researchers and industry specialists continue to document their work in this area, it has become increasingly difficult for professionals and graduate students to understand the essential theory and practicalities well enough to design their own algorithms and systems. This book directly addresses this need. As in earlier editions, E.R. Davies clearly and systematically presents the basic concepts of the field in highly accessible prose and images, covering essential elements of the theory while emphasizing algorithmic and practical design constraints. In this thoroughly updated edition, he divides the material into horizontal levels of a complete machine vision system. Application case studies demonstrate specific techniques and illustrate key constraints for designing real-world machine vision systems. � Includes solid, accessible coverage of 2-D and 3-D scene analysis. � Offers thorough treatment of the Hough Transform-a key technique for inspection and surveillance. � Brings vital topics and techniques together in an integrated system design approach. � Takes full account of the requirement for real-time processing in real applications.
830 0 _aSignal processing and its applications.
856 4 0 _3Amazon.com
_uhttp://www.amazon.com/exec/obidos/ASIN/0122060938/chopaconline-20
999 _c1883
_d1883