Open AccessMejora de contraste de imagenes de mamografía mediante procesamiento digital de imagen
Author(s) -
Joel Quintanilla,
Benjamín Ojeda,
R. Ruelas,
J. P. Yañez
Publication year - 2019
Publication title -
revista de aplicación científica y técnica
Language(s) - English
Resource type - Journals
ISSN - 2444-4928
DOI - 10.35429/jsta.2019.15.5.19.28
Subject(s) - histogram equalization , adaptive histogram equalization , contrast (vision) , computer science , artificial intelligence , computer vision , region of interest , edge enhancement , contrast enhancement , edge detection , histogram , noise reduction , equalization (audio) , noise (video) , image quality , image enhancement , image (mathematics) , image processing , medicine , algorithm , radiology , decoding methods , magnetic resonance imaging
This paper shows the obtained results of applying image enhancement techniques in regions of interest extracted of mamographies. The objective is to improve the detection of breast lesions, such as the microcalcifications and thus contribute to the early detection of breast cancer. Usually, the quality of the region of interest images is not better, and they have some deficiencies that difficult the microcalcifications detection. Due to this, the approach in this paper is to increase the quality of the region of interest image by means of edge and contour enhancement, modifying the contrast and noise reduction and its possible suppression of the background of the image. The techniques that were implemented are the modification of the contrast by lineal and non-lineal transformations, the histogram equalization technique, spatial filtering technique and a technique based on mathematical morphology operations. Finally, a contrast improvement index was applied in order to evaluate in a quantitative way each of the contrast enhancement technique implemented.