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Proceedings Paper

Estimating surface roughness using image focus
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Paper Abstract

Estimation of surface roughness is an important parameter for many applications including optics, polymers, semiconductor etc. In this paper, we propose to estimate surface roughness using one of the 3D shape recovery optical passive methods, i.e., shape from focus. Three-dimensional shape recovery from one or multiple observations is a challenging problem of computer vision. The objective of shape from focus is to calculate the depth map. That depth map can further be used in techniques and algorithms leading to recovery of three dimensional structure of object which is required in many high level vision applications. The same depth map can also be used for surface roughness estimation. One of the requirements, of researchers is to quickly compare the samples being fabricated based on various measures including surface roughness. However, the high cost involved in estimation of surface roughness limits its extensive and exhaustive usage. Therefore, we propose an inexpensive and fast method based on Shape From Focus (SFF). We use two microscopic test objects, i.e., coin and TFT-LCD cell for estimating the surface roughness.

Paper Details

Date Published: 15 September 2008
PDF: 9 pages
Proc. SPIE 7073, Applications of Digital Image Processing XXXI, 70731Z (15 September 2008); doi: 10.1117/12.798182
Show Author Affiliations
Aamir Saeed Malik, Gwangju Institute of Science and Technology (Korea, Republic of)
Tae-Sun Choi, Gwangju Institute of Science and Technology (Korea, Republic of)

Published in SPIE Proceedings Vol. 7073:
Applications of Digital Image Processing XXXI
Andrew G. Tescher, Editor(s)

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