Online ferrography, because of its nondestructive and real-time capability, has been increasingly applied in monitoring machine wear states. However, online ferrography images are usually degraded as a result of undesirable image acquisition conditions, which eventually lead to inaccurate identifications. A restoration method focusing on color correction and contrast enhancement is developed to provide high-quality images for subsequent processing. Based on the formation of a degraded image, a model describing the degradation is constructed. Then, cost functions consisting of colorfulness, contrast, and information loss are formulated. An optimal restored image is obtained by minimizing the cost functions, in which parameters are properly determined using the Lagrange multiplier. Experiments are carried out on a collection of online ferrography images, and results show that the proposed method can effectively improve the image both qualitatively and quantitatively.
Optimum Color and Contrast Enhancement for Online Ferrography Image Restoration
School of Mechanical Engineering,
Xi’an, Shaanxi 710049,
Manuscript received March 20, 2019; final manuscript received June 12, 2019; published online July 3, 2019. Assoc. Editor: K. Elliott Cramer.
- Views Icon Views
- Share Icon Share
- Cite Icon Cite
- Search Site
Yang, L., Wu, T., Wang, K., Wu, H., and Kwok, N. (July 3, 2019). "Optimum Color and Contrast Enhancement for Online Ferrography Image Restoration." ASME. ASME J Nondestructive Evaluation. August 2019; 2(3): 031003. https://doi.org/10.1115/1.4044049
Download citation file:
- Ris (Zotero)
- Reference Manager