Choosing the Optimal Spatial Domain Measure of Enhancement for Mammogram Images
Author(s) -
Karen Panetta,
Arash Samani,
Sos С. Agaian
Publication year - 2014
Publication title -
international journal of biomedical imaging
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.626
H-Index - 41
eISSN - 1687-4196
pISSN - 1687-4188
DOI - 10.1155/2014/937849
Subject(s) - computer science , image quality , metric (unit) , measure (data warehouse) , image (mathematics) , data mining , quality (philosophy) , artificial intelligence , process (computing) , image enhancement , medical imaging , computer vision , pattern recognition (psychology) , philosophy , operations management , epistemology , economics , operating system
Medical imaging systems often require image enhancement, such as improving the image contrast, to provide medical professionals with the best visual image quality. This helps in anomaly detection and diagnosis. Most enhancement algorithms are iterative processes that require many parameters be selected. Poor or nonoptimal parameter selection can have a negative effect on the enhancement process. In this paper, a quantitative metric for measuring the image quality is used to select the optimal operating parameters for the enhancement algorithms. A variety of measures evaluating the quality of an image enhancement will be presented along with each measure's basis for analysis, namely, on image content and image attributes. We also provide guidelines for systematically choosing the proper measure of image quality for medical images.
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