Identification and measurement of fibers in scanning electron microscopy images using a high-order correlation process

Author

Yáñez-Suárez, Oscar ; Azimi-Sadjadi, Mahmood R.

Author_Institution

Dept. of Electr. Eng., Colorado State Univ., Fort Collins, CO, USA

Volume

48

Issue

1

fYear

1999

fDate

2/1/1999 12:00:00 AM

Firstpage

55

Lastpage

61

Abstract

This work describes the development of a dedicated system capable of identifying, measuring and counting various types of fibers and other objects in digitized scanning electron micrograph (SEM) imagery. The system uses a recursive high order correlation (HOC) process to extract the corner pixels of the fibers. The objects are defined by grouping connected corners, so that morphometric analysis can be performed. The method developed performs satisfactorily when the density of fibers per image ranges from low to medium. Simulation results for several cases are presented, along with a discussion on the capabilities and limitations of the current version of the system

Keywords

edge detection; image classification; optical correlation; optical fibres; scanning electron microscopy; SEM; connected corners; corner pixels; digitized scanning electron micrograph imagery; fibre glass; high-order correlation process; identification; image analysis; measurement technology; morphometric analysis; preprocessing; recursive high order correlation; scanning electron microscopy images; simulation; Image analysis; Image color analysis; Image edge detection; Layout; Object detection; Optical fiber devices; Pattern recognition; Performance analysis; Pixel; Scanning electron microscopy;

fLanguage

English

Journal_Title

Instrumentation and Measurement, IEEE Transactions on

Publisher

ieee

ISSN

0018-9456

Type

jour

DOI

10.1109/19.755060

Filename

755060