Event Title

Thresholding Method for Eddy Current Images to Automate Diagnosis

Location

Snowbird, UT, USA

Start Date

1-1-1999 12:00 AM

Description

Automatic thresholding methods have always difficulties to stand out in the NDT field as only one malfunction could be harmful. We propose in this article not only an algorithm to automate thresholding but also an algorithm which gives information on the quality of its result. The solution used here is based on co-occurrence matrix analysis. This two-dimensional histogram allows multiple image analysis like thresholding and texture classification which are two major solutions for image segmentation [1–4]. Automatic thresholding was developed on BSCAN ultrasonic images [5–6] and completed to process other images [7]. We present here the most complete tool with quality indicators which are now available for eddy current images.

Book Title

Review of Progress in Quantitative Nondestructive Evaluation

Volume

18A

Chapter

Chapter 3: Simulations, Signal Processing, Tomography, and Holography

Section

Inversion, Reconstruction, Imaging

Pages

897-904

DOI

10.1007/978-1-4615-4791-4_115

Language

en

File Format

application/pdf

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Jan 1st, 12:00 AM

Thresholding Method for Eddy Current Images to Automate Diagnosis

Snowbird, UT, USA

Automatic thresholding methods have always difficulties to stand out in the NDT field as only one malfunction could be harmful. We propose in this article not only an algorithm to automate thresholding but also an algorithm which gives information on the quality of its result. The solution used here is based on co-occurrence matrix analysis. This two-dimensional histogram allows multiple image analysis like thresholding and texture classification which are two major solutions for image segmentation [1–4]. Automatic thresholding was developed on BSCAN ultrasonic images [5–6] and completed to process other images [7]. We present here the most complete tool with quality indicators which are now available for eddy current images.