Shape from focus using color segmentation and bilateral filter

H. Shoji, K. Shirai, M. Ikehara

Research output: Contribution to conferencePaperpeer-review

9 Citations (Scopus)

Abstract

In this paper, we describe a new method for shape from focus using a set of the color segmentation and the bilateral filtering. The shape from focus estimates the geometrical shape of objects from the defocus level of images taken with different focal state. However, the conventional methods tend to fail in the shape estimation around the edge parts of objects and thin texture areas. To address the problems, we use the color segmentation in order to merge such areas by color, and then we interpolate the shape of lost part at each segment. The bilateral smoothing filter is used as the noise suppressor to improve the segmentation accuracy and also this bilateral filter is used to obtain the detail of textures, in other words, high frequency components of the focus measure. In addition, we also acquire the All-In-Focus image by this algorithm and the depth estimation is complemented by this image. By using this method, the lossless and noiseless shape of the object is obtained.

Original languageEnglish
Pages566-571
Number of pages6
DOIs
Publication statusPublished - 2006 Dec 1
Event2006 IEEE 12th Digital Signal Processing Workshop and 4th IEEE Signal Processing Education Workshop, DSPWS - Moose, WY, United States
Duration: 2006 Sep 242006 Sep 27

Other

Other2006 IEEE 12th Digital Signal Processing Workshop and 4th IEEE Signal Processing Education Workshop, DSPWS
Country/TerritoryUnited States
CityMoose, WY
Period06/9/2406/9/27

Keywords

  • All-in-focus image
  • Bilateral filter
  • Color segmentation
  • Focus measure
  • Shape from focus
  • Shape recovery

ASJC Scopus subject areas

  • Signal Processing
  • Electrical and Electronic Engineering

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