The influence of chromatic components on extended depth of field imaging
✍ Scribed by Javier Navas; Joaquín Martín
- Publisher
- John Wiley and Sons
- Year
- 2009
- Tongue
- English
- Weight
- 539 KB
- Volume
- 72
- Category
- Article
- ISSN
- 1059-910X
No coin nor oath required. For personal study only.
✦ Synopsis
Abstract
The analysis of variance is one of the most commonly used algorithms for detecting focalized zones in digital images and is an entry point to extended focalization techniques beyond those established by optical laws. This article analyses the dependence of the red, green, and blue (RGB) and lightness, hue, and saturation (LHS) components when used as the basis for applying an algorithm to obtain images with extended depth of field. Also, an algorithm developed by the authors is described and the dependence of the final result is shown according to the chromatic components used as the variables. Finally, a methodology is defined based on the study of second variance in relation to the number of images and pixels of the chromatic coordinates to decide which to use as the basis for the calculation. Microsc. Res. Tech., 2009. © 2009 Wiley‐Liss, Inc.
📜 SIMILAR VOLUMES
## Abstract Microscopy imaging often suffers from limited depth‐of‐field. However, the specimen can be “optically sectioned” by moving the object along the optical axis. Then different areas appear in focus in different images. Extended depth‐of‐field is a fusion algorithm that combines those image
Radio-frequency-powered glow discharge optical emission spectroscopy (GDOES) is an extremely powerful and reliable technique for depth proÐling analysis of thin, insulating barrier anodic Ðlms formed on aluminium. It allows ready and rapid analysis of the Ðlms, with depth resolution and sensitivity