Mammographic Image Enhancement using Digital Image Processing Technique

TL;DR

This study explores mammographic image enhancement through negative transformation and histogram equalization, comparing results with MSE and PSNR to improve visualization for breast cancer detection.

Contribution

It introduces a method combining negative image transformation and histogram equalization for mammogram enhancement, analyzing their effectiveness and limitations.

Findings

Image enhancement is possible with these techniques.

Quality improvement depends on threshold settings.

Some images show significant enhancement, others less so.

Abstract

Abstract PURPOSES this study aims to perform microcalsification detection by performing image enhancement in mammography image by using transformation of negative image and histogram equalization. image mammography with .pgm format changed to. jpg format then processed into negative image result then processed again using histogram equalization. the results of the image enhancement process using negative image techniques and equalization histograms are compared and validated with MSE and PSNR on each mammographic image. CONCLUSION: Image enhancement process on mammography image can be done, however there are only some image that have improved quality, this affected by threshold usage, which have important role to get better visualization on mammographic image. Keywords-component; Image enhancement, image negative, histogram equalization, mammographic, breast cancer