Linear models of cumulative distribution function for content-based medical image retrieval

K. N. Manjunath, A. Renuka, U. C. Niranjan

Research output: Contribution to journalArticle

16 Citations (Scopus)

Abstract

We propose an Image matching technique based on Cumulative Distribution Function, which provides a considerable reduction in the retrieval time. The two novel approaches called bit plane histogram and hierarchical bit plane histogram are discussed. Next, the image matching technique based on Cumulative Distribution Function is explained and a comparison of the various techniques is brought out. The CDF of the query and the images in the database are approximated by piecewise linear models with two parameters, slope and intercept at various grayscale intervals. The contiguous set of lines approximating the CDFs enables us to compare the query image and the images in the database with corresponding estimated slopes and intercepts. As the dynamic range of CDF is from 0 to 1, images of different sizes can be compared. Approximation of CDFs with lines further reduces the dimension of the image features and thus improves the speed of matching.

Original languageEnglish
Pages (from-to)433-443
Number of pages11
JournalJournal of Medical Systems
Volume31
Issue number6
DOIs
Publication statusPublished - 12-2007

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Image matching
Image retrieval
Distribution functions
Linear Models
Databases

All Science Journal Classification (ASJC) codes

  • Medicine (miscellaneous)
  • Information Systems
  • Health Informatics
  • Health Information Management

Cite this

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Linear models of cumulative distribution function for content-based medical image retrieval. / Manjunath, K. N.; Renuka, A.; Niranjan, U. C.

In: Journal of Medical Systems, Vol. 31, No. 6, 12.2007, p. 433-443.

Research output: Contribution to journalArticle

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