Machine Vision [electronic resource] : Automated Visual Inspection: Theory, Practice and Applications / by J�urgen Beyerer, Fernando Puente Le�on, Christian Frese.
By: Beyerer, J�urgen [author.].
Contributor(s): Puente Le�on, Fernando [author.] | Frese, Christian [author.] | SpringerLink (Online service).
Material type:
BookPublisher: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2016Edition: 1st ed. 2016.Description: XX, 798 p. 700 illus., 500 illus. in color. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783662477946.Subject(s): Engineering | Image processing | Physical measurements | Measurement | Robotics | Automation | Engineering | Signal, Image and Speech Processing | Image Processing and Computer Vision | Robotics and Automation | Measurement Science and InstrumentationAdditional physical formats: Printed edition:: No titleDDC classification: 621.382 Online resources: Click here to access online Introduction -- Part I Image Acquisition: Light -- Optical Imaging -- Radiometry -- Color -- Sensors for Image Acquisition -- Methods for Image Acquisition -- Part II Image Processing: Image Signals -- Preprocessing and Image Enhancement -- Image Restoration -- Segmentation -- Morphological Image Processing -- Texture Analysis -- Detection -- Image Pyramids, Wavelet Transform and Multiresolution Analysis -- Mathematical Foundations -- The Fourier Transform.
The book offers a thorough introduction to machine vision. It is organized in two parts. The first part covers the image acquisition, which is the crucial component of most automated visual inspection systems. All important methods are described in great detail and are presented with a reasoned structure. The second part deals with the modeling and processing of image signals and pays particular regard to methods, which are relevant for automated visual inspection.
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