## Abstract This article introduces a new algorithm for shape from focus (SFF) based on discrete cosine transform (DCT) and principal component analysis (PCA). DCT is applied on a small 3D neighborhood for each pixel in the image volume. Instead of summing all focus values in a window, AC parts of
MRT Letter: Optimal composite depth function for 3D shape recovery of microscopic objects
✍ Scribed by Abdul Majid; Muhammad Tariq Mahmood; Tae-Sun Choi
- Publisher
- John Wiley and Sons
- Year
- 2010
- Tongue
- English
- Weight
- 457 KB
- Volume
- 73
- Category
- Article
- ISSN
- 1059-910X
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✦ Synopsis
Abstract
Generally, in shape from focus techniques, a single focus measure is used in estimating the three‐dimensional structure of microscopic objects. However, the performance of a single focus measure is limited to estimate accurately the depth map of diverse type of objects. To cope with this problem, we propose genetic programming based novel approach by developing an optimal composite depth (OCD) function for accurate depth estimation. This OCD function optimally combines the initial depth and focus information extracted from individual focus measures. An improved performance of this function is reported for synthetic and real world microscopic objects. Microsc. Res. Tech., 2010. © 2010 Wiley‐Liss, Inc.
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