Location

Brunswick, ME

Start Date

1-1-1990 12:00 AM

Description

In CT imaging with limited view-angle data, the image of the object’s slice is usually distorted such that it is difficult to interpret the image. Usually in industrial applications. one deals with quality testing of products which are built from on an original blueprint or model. The objective of this paper is to use the knowledge about the model and try to establish whether there is any significant difference between the object under test and the model object. We will first formulate the problem as a deconvolution problem. Then we will use the CLEAN deconvolution algorithm to restore the image.

Book Title

Review of Progress in Quantitative Nondestructive Evaluation

Volume

9A

Chapter

Chapter 3: Interpretive Signal and Image Processing

Section

B: interpretive and Image Processing

Pages

737-742

DOI

10.1007/978-1-4684-5772-8_92

Language

en

File Format

application/pdf

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Jan 1st, 12:00 AM

Flaw Detection Using a Priori Knowledge with Limited View Aperture System

Brunswick, ME

In CT imaging with limited view-angle data, the image of the object’s slice is usually distorted such that it is difficult to interpret the image. Usually in industrial applications. one deals with quality testing of products which are built from on an original blueprint or model. The objective of this paper is to use the knowledge about the model and try to establish whether there is any significant difference between the object under test and the model object. We will first formulate the problem as a deconvolution problem. Then we will use the CLEAN deconvolution algorithm to restore the image.