Tree-Structured Nonlinear Filters in Digital Mammography

IEEE Transactions on Medical Imaging

Volumn 13, Issue 1, 1994, Pages 25-36

  Qian, Wei ^a   Clarke, Laurence P ^a   Kallergi, Maria ^a   Clark, Robert A ^a  

^a H LEE MOFFITT CANCER CENTER AND RESEARCH INSTITUTE   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; COMPUTER AIDED DIAGNOSIS; DIGITAL SIGNAL PROCESSING; ELECTRIC FILTERS; IMAGE ANALYSIS; IMAGE ENHANCEMENT; INTERFERENCE SUPPRESSION; MEDICAL IMAGING; PERFORMANCE; SIGNAL DETECTION; SIGNAL FILTERING AND PREDICTION; X RAY RADIOGRAPHY;

CENTRAL WEIGHTED MEDIAN FILTERS; DETAIL PRESERVATION; DIGITAL MAMMOGRAPHY; EDGE DETECTION PROPERTIES; SHAPE WINDOWING; TREE STRUCTURED NONLINEAR FILTERS;

IMAGE PROCESSING;

EID: 0028396732     PISSN: 02780062     EISSN: 1558254X     Source Type: Journal    
DOI: 10.1109/42.276142     Document Type: Article

References (25)

1. K. Doi, M. L. Giger, H. MacMahon et al., “Computer-aided diagnosis: Development of automated schemes for quantitative analysis of radiographic images,” Seminars in Ultrasound, CT, and MRI, vol. 13, pp. 140-152, 1992.
2. H. MacMahon, K. Doi, H-P. Chan et al., “Computer-aided diagnosis in chest radiology,” J. Thorac. Imag., vol. 5, no. 1, pp. 67-76, 1990.
3. H. P. Chan, K. Doi, C. J. Vyborny, et al., “Improvement in radiologists detection of clustered microcalcifications on mammograms: The potential of computer-aided diagnosis,” Invest. Radiol., vol. 25, pp. 1102-1110, 1990.
4. H. P. Chan, K. Doi, S. Galhotra et al., “Image feature analysis and computer-aided diagnosis in digital radiography: Automated detection of microcalcifications in mammography,” Med. Phys., vol. 14, no. 4, pp. 538-549, 1989.
5. W. M. Morrow, R. B. Paranjape, R. M. Rangayyan, and J. E. L. Desautels, “Region-based contrast enhancement of mammograms,” IEEE Trans. Med. Imag., vol. 11, pp. 392-406, Sept. 1992.
6. S-M, Lai, X. Li, and W. F. Bischof, “On techniques for detecting circumscribed masses in mammograms,” IEEE Trans. Med. Imag., vol. 8, no. 4, pp. 377-386, 1989.
7. Y. Wu, K. Doi, M. L. Giger, and R. M. Nishikawa, “Computerized detection of clustered microcalcifications in digital mammograms: Applications of artificial neural networks,” Med. Phys., vol. 19, no. 3, pp. 555-560, 1992.
8. K. Woods, J. L. Solka, C. E. Priebe, C. C. Doss, K. W. Bowyer, and L. P. Clarke, “Comparative evaluation of pattern recognition techniques for detection of microcalcifications,” in Proc. IS&T/SPIE Annu. Symp. on Electron. Imaging, Sci. & Technol., 1993.
9. I. Pitas and A. N. Venetsanopoulos, “Nonlinear mean filters in image processing,” IEEE Trans. Acoust., Speech, Signal Processing, vol. 34, no. 3, pp. 573-584, 1986.
10. T. A. Nodes and N. C. Gallagher, “Median filters: some modifications and their properties,” IEEE Trans. Acoust., Speech, Signal Processing, vol. 30, no. 5, pp. 739-746, 1982.
11. A. Glatt, H. Longbotham, T. Amow, D. Shelton, and P. Ravdin, “An application of weighted majority minimum range filters in the detection and sizing of tumors in mammograms,” in Proc. SPIE Medical Imaging VI: Image Processing, vol. 1652, 1992, pp. 477-488, 1992.
12. P. G. Tahoces, J. Correa, M. Souto, C. Gonzalez, L. Gomez and J. J. Vidal, “Enhancement of chest and breast radiographs by automatic spatial filtering,” IEEE Trans. Med. Imag., vol. 10, no. 3, pp. 330-335, 1990.
13. G. R. Arce and R. E. Foster, “Detail-preserving ranked-order based filters for image processing,” IEEE Trans. Acoust., Speech, Signal Processing, vol. 37, no. 1, pp. 83-98, 1989.
14. P. H. Bauer and W. Qian, “A 3-D non-linear recursive digital filter for video image processing,” in Proc. IEEE Pacific Rim Conf. on Commun., Comput. and Signal Processing, vol. 2, pp. 494-497, 1991.
15. A. K. Jain, Fundamentals of Digital Image Processing. T. Kailath, Ed., Englewood Cliffs, NJ: Prentice-Hall, 1989.
16. S.-J. Ko and Y. H. Lee, “Center weighted median filters and their applications to image enhancement,” IEEE Trans. Circ. Syst., vol. 38, pp. 984-993, Sept. 1991.
17. I. Pitas and A. N. Venetsanopoulos, “Edge detector based on nonlinear filters,” IEEE Trans. Pat. Anal. Mach. Intell., vol. 8, no. 4, pp. 538-550, 1986.
18. X. Nie and R. Unbehauen, “Edge preserving filtering by combining nonlinear mean and median filters,” IEEE Trans. Signal Processing, vol. 39, no. 11, 2552-2554, 1991.
19. R. E. Hendrick, “Standardization of image quality and radiation dose in mammography,” Radiology, vol. 174, pp. 648-654, Mar. 1990.
20. G. T. Barnes and D. P. Chakraborty, “Radiographic mottle and patient exposure in mammography,” Radiology, vol. 145, 815-821, 1982.
21. M. J. Yaffe and R. M. Nishikawa, “X-ray imaging concepts: Noise, SNR and DQE,” in Proc. AAPM Summer School, vol. I, pp. 123-152, 1991.
22. H. C. Andrews and B. R. Hunt, Digital Image Restoration. Englewood Cliffs, NJ: Prentice-Hall, 1977.
23. A. M. Eskicioglu and P. S. Fisher, “A survey of quality measures for gray scale image compression,” in Proc. Space and Earth Sci. Data Compression Workshop: NASA Conference Publication 3191, pp. 49-61, 1993.
24. A. C. Bovik, T. S. Huang, and D. C. Munson, “A generalization of median filtering using linear combinations of order statistics,” IEEE Trans. Acoust., Speech, Signal Processing, vol. 31, pp. 1342-1349, Dec. 1983.
25. W-Y Wu, M-J Wang, and C-M Liu, “Performance evaluation of some noise reduction methods,” Graphical Models and Image Processing„ vol. 54, no. 2, pp. 134-146, Mar. 1992.