Optimized algorithm for adaptive histogram equalization

Thurman Gillespy III

doi:10.1117/12.310830

24 June 1998 Optimized algorithm for adaptive histogram equalization

Thurman Gillespy III

Proceedings Volume 3338, Medical Imaging 1998: Image Processing; (1998) https://doi.org/10.1117/12.310830
Event: Medical Imaging '98, 1998, San Diego, CA, United States

Abstract

Adaptive histogram equalization (AHE) is a useful technique for expanding local contrast in medical images. The method is based on histogram equalization of each pixel based on a local NXN image region. If the number of pixels in the NXN local region is equal to the number of grayshades in the image, the equalized histogram can be directly constructed from the distribution histogram. This optimization may permit AHE to be performed on standard medical image display workstations.

Citation Download Citation

Thurman Gillespy III "Optimized algorithm for adaptive histogram equalization", Proc. SPIE 3338, Medical Imaging 1998: Image Processing, (24 June 1998); https://doi.org/10.1117/12.310830

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