title: Application of Gabor transform as texture discriminator of masses in digital mammograms.
abstract: It has been demonstrated that the class of the Gabor functions possesses the property of simultaneously minimizing uncertainty in spatial position and spatial frequency. A technique of detecting masses in digital mammogram has been investigated using Gabor Transform as a texture discriminator. The digital mammograms is "transformed" via Gabor function into a frequency spectrum representation that provides a means of discrimination between features base on the frequency differences. In addition, Gabor function are used as a model of the receptive fields of neurons in the visual cortex. The application of this technique is demonstrated using computer generated images and digital mammograms.
authors.affiliation: Nonlinear Signal Processing Lab, University of Texas, San Antonio 78249.
authors.forename: A
authors.initials: A
authors.lastname: Kaewlium
authors.forename: H
authors.initials: H
authors.lastname: Longbotham
mesh_terms: D001943:Breast Neoplasms / Q000000981:diagnostic imaging*; D005260:Female; D005583:Fourier Analysis; D006801:Humans; D008327:Mammography; D012815:Signal Processing, Computer-Assisted