Image classification based on focus

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

Abstract

The performance of most image classification algorithms deteriorates in the presence of out-of-focus blur. Thus, it is essential to either correct the focus of the input images or leave them out of the training set. There exist many focus metrics for auto-focusing, but they generally give a relative focus value. Our technique combines some of the best performing focus metrics to obtain a new focus measure using which we can separate in-focus images from out-of-focus ones. We also compare our technique with the existing ones and show that it performs better. The classifier was tested on a dataset of ovarian images obtained using confocal microendoscopy.

Original languageEnglish (US)
Title of host publication2008 IEEE International Conference on Image Processing, ICIP 2008 Proceedings
Pages397-400
Number of pages4
DOIs
StatePublished - Dec 1 2008
Event2008 IEEE International Conference on Image Processing, ICIP 2008 - San Diego, CA, United States
Duration: Oct 12 2008Oct 15 2008

Publication series

NameProceedings - International Conference on Image Processing, ICIP
ISSN (Print)1522-4880

Other

Other2008 IEEE International Conference on Image Processing, ICIP 2008
CountryUnited States
CitySan Diego, CA
Period10/12/0810/15/08

Keywords

  • Focus detection
  • Image classification

ASJC Scopus subject areas

  • Software
  • Computer Vision and Pattern Recognition
  • Signal Processing

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    Patel, M. B., Rodriguez, J. J., & Gmitro, A. F. (2008). Image classification based on focus. In 2008 IEEE International Conference on Image Processing, ICIP 2008 Proceedings (pp. 397-400). [4711775] (Proceedings - International Conference on Image Processing, ICIP). https://doi.org/10.1109/ICIP.2008.4711775