Analysis of the Effects of Discrete Wavelet Compression on Automated Mammographic Mass Shape Classification

Λεπτομέρειες βιβλιογραφικής εγγραφής
Τίτλος: Analysis of the Effects of Discrete Wavelet Compression on Automated Mammographic Mass Shape Classification
Συγγραφείς: Bruce, Lori M., Kalluri, Ravi
Πηγή: Electrical & Computer Engineering Faculty Research
Στοιχεία εκδότη: UNLV's Repository for Research, Scholarship, and Creative Activity
Έτος έκδοσης: 1999
Συλλογή: University of Nevada, Las Vegas: Digital Scholarship@UNLV
Θεματικοί όροι: Classification--Computer programs, Diagnostic imaging, Image analysis, Image processing, Wavelets (Mathematics), Electrical and Computer Engineering, Engineering, Signal Processing, Systems and Communications
Περιγραφή: This pilot study investigates the effect of discrete wavelet compression on automated mammographic mass shape classification. Commonly used shape features are extracted from masses for uncompressed and compressed images. These features include radial distance mean, standard deviation, entropy, zero-crossing count, roughness index, area-ratio, and compactness. The effects of the compression on these features are analyzed. Next, linear discriminant analysis is used to appropriately weight the features, and a minimum Euclidean distance classifier is used to separate the mass shapes into three classes: round, nodular, and stellate. The classification results are compared between the uncompressed and compressed images.
Τύπος εγγράφου: conference object
Γλώσσα: English
Relation: https://oasis.library.unlv.edu/ece_fac_articles/469
Διαθεσιμότητα: https://oasis.library.unlv.edu/ece_fac_articles/469
Αριθμός Καταχώρησης: edsbas.A38AE029
Βάση Δεδομένων: BASE
Περιγραφή
Η περιγραφή δεν είναι διαθέσιμη