An Approximation-Weighted Detail Contrast Enhancement Filter for Lesion Detection on Mammograms

Abstract

This paper presents a novel approximation-weighted detail contrast enhancement (AWDCE) filter for detecting lesions in digitized mammograms employing the Daub20 wavelet transform. The AWDCE filter is implemented by weighting each pixel in the detail images of chosen levels by the factor that is transformed from corresponding pixel in the approximation image. This ADWCE filter implementation was evaluated with the more traditional methods by using the same publicly accessible database. Experimental results show that the AWDCE filter can automatically enhance the mass contrast while preserving the image details in different scales, and that its performance is better than in previous works, especially in the contrast improvement ratio. Keywonis -- Wavelets, contrast enhancement, mammograms

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Document Details

Document Type
Technical Report
Publication Date
Oct 25, 2001
Accession Number
ADA410203

Entities

People

  • Donghui Lu
  • Shupeng Liu
  • Xuan He
  • Zhuangzhi Yan

Organizations

  • Shanghai University

Tags

Communities of Interest

  • Biomedical

DTIC Thesaurus Topics

  • Biomedical Engineering
  • Contrast
  • Databases
  • Detection
  • Diagnostic Imaging
  • Digital Image Processing
  • Digital Images
  • Engineering
  • Equalization
  • Filters
  • Gray Scale
  • High Density
  • Histograms
  • Image Processing
  • Images
  • Two Dimensional
  • Wavelet Transforms

Readers

  • Image Processing and Computer Vision.
  • Oncology and Biomarker-Based Cancer Detection.