✦ LIBER ✦

On the pretreatment process for the object extraction in color image of wear debris

✍ Scribed by Xianguo Hu; Peng Huang; Shousen Zheng

Publisher: John Wiley and Sons
Year: 2007
Tongue: English
Weight: 379 KB
Volume: 17
Category: Article
ISSN: 0899-9457
DOI: 10.1002/ima.20121

No coin nor oath required. For personal study only.

✦ Synopsis

Abstract

In this article, some pretreatment techniques used for the object extraction in color debris image were introduced, which was an important basic work in ferrographic technology to identify precisely wear debris produced by friction and wear from the relative motions between machine parts. These pretreatment techniques included image enhancement, image segmentation, filling pore, image erosion, and recognition of wear debris. The results showed that these methods were feasible and effective, which could be applied to extract object of color wear debris image successfully and precisely. It provided an important basis for the recognition technique of wear debris which was related to monitoring machine operation state and fault diagnosis. © 2008 Wiley Periodicals, Inc. Int J Imaging Syst Technol, 17, 277–284, 2007

📜 SIMILAR VOLUMES

An in situ probe for on-line monitoring

An in situ probe for on-line monitoring of cell density and viability on the basis of dark field microscopy in conjunction with image processing and supervised machine learning

✍ Ning Wei; Jia You; Karl Friehs; Erwin Flaschel; Tim Wilhelm Nattkemper 📂 Article 📅 2007 🏛 John Wiley and Sons 🌐 English ⚖ 536 KB

## Abstract Fermentation industries would benefit from on‐line monitoring of important parameters describing cell growth such as cell density and viability during fermentation processes. For this purpose, an __in situ__ probe has been developed, which utilizes a dark field illumination unit to obta