Title :
Research on mammogram enhancement
Author :
Zhu, Duan ; Hong, Tian ; Lei, Sun
Author_Institution :
Software Technol. Inst., Dalian Jiaotong Univ., Dalian, China
Abstract :
Computer-assisted analysis of mammogram may provide clues for diagnosis of early tumors. Compared to ordinary images, mammograms feature vagueness and inhomogeneity. Hence, it´s of great importance to enhance the contrast of mammograms. This paper introduced traditional algorithms of image enhancement, and presented the region-based and feature-based algorithms for mammograms. In addition, three quantitative evaluations of contrast enhancement proposed by Bovis and Singh at University of Exeter in UK are introduced.
Keywords :
image enhancement; mammography; medical image processing; patient diagnosis; tumours; computer-assisted analysis; contrast enhancement; feature-based algorithms; image enhancement algorithm; mammogram enhancement; quantitative evaluations; region-based algorithm; tumor diagnosis; Educational institutions; Image reconstruction; Morphology; Nonhomogeneous media; algorithm; algorithm evaluation; feature; image enhancement; mammogram;
Conference_Titel :
Computer Science and Information Technology (ICCSIT), 2010 3rd IEEE International Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4244-5537-9
DOI :
10.1109/ICCSIT.2010.5564127
