Journal ArticleDOI
Image Analysis Using Mathematical Morphology
TLDR
The tutorial provided in this paper reviews both binary morphology and gray scale morphology, covering the operations of dilation, erosion, opening, and closing and their relations.Abstract:
For the purposes of object or defect identification required in industrial vision applications, the operations of mathematical morphology are more useful than the convolution operations employed in signal processing because the morphological operators relate directly to shape. The tutorial provided in this paper reviews both binary morphology and gray scale morphology, covering the operations of dilation, erosion, opening, and closing and their relations. Examples are given for each morphological concept and explanations are given for many of their interrelationships.read more
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Correction for geometric distortion in echo planar images from B0 field variations
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TL;DR: A method is described for the correction of geometric distortions occurring in echo planar images, caused in large part by static magnetic field inho‐mogeneities, leading to pixel shifts, particularly in the phase encode direction.
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Interacting with paper on the DigitalDesk
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References
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Vorlesungen über Inhalt, Oberfläche und Isoperimetrie
TL;DR: In this article, a vorliegende Buch vereinigt in seinen wesentlichen Teilen den Stoff verschiedener Vorlesungen liber Inhaltstheorie, isoperimetrische Probleme and liber konvexe Karper and allgemeine Integralgeometrie, which ich im Laufe der letten yearre an der Universitat Bern gehalten habe.
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Biomedical Image Processing
TL;DR: For the last five years, the University of Michigan and the Environmental Research Institute of Michigan have conducted a unique series of studies that involve the processing of biomedical imagery on a highly parallel computer specifically designed for image processing, finding that quantification by automated image analysis not only increases diagnostic accuracy but also provides significant data not obtainable from qualitative analysis alone.
Journal ArticleDOI
Multiple Resolution Texture Analysis and Classification
TL;DR: Textures are classified based on the change in their properties with changing resolution, and the relation of a texture picture to its negative, and directional properties are discussed.
Journal ArticleDOI
Design of a Massively Parallel Processor
TL;DR: The massively parallel processor (MPP) as discussed by the authors was designed to process satellite imagery at high rates, achieving 8-bit integer data, addition can occur at 6553 million operations per second (MOPS) and multiplication at 1861 MOPS.