FAQ

Schedae Informaticae

logo of Jagiellonian University in Krakow

An improvement in fuzzy entropy edge detection for X-ray imaging

Publication date: 23.01.2012

Schedae Informaticae, 2011, Volume 20, pp. 159 - 166

https://doi.org/10.4467/20838476SI.11.008.0294

Authors

Tomasz Wójtowicz
Institute of Computer Science, Jagiellonian University, Poland
All publications →

Abstract

The following paper discusses the topic of edge detection in X-ray hand images. It criticises the existing solution by highlighting a design fault, which is a carelessly chosen function and then proposes a way to eliminate the fault by replacing it with a better suited function. The search for this function and its results are also discussed in this paper. It also presents the aspect of pre- and postprocessing through filtering as another improvement in edge detection.

References

Staniszewska-Varga J., Szymanska-Jagie l lo W., Luft S., Korkosz M.; Rheumatic diseases atlas (Atlas radiologiczny chorob reumatycznych), Medycyna Praktyczna, Krakow, 2003.

Bielecki A., Korkosz M., Zielinski B.; Hand radiographs preprocessing, image representation in the nger regions and joint space width measurements for image interpretation, Pattern Recognition, 41(12), 2008, pp. 3786{3798.

Zielinski B.; A fully automated algorithm dedicated to computing metacarpophalangeal and interphalangeal joint cavity widths, Schedae Informaticae, 16, 2007, pp. 47{67.

Zielinski B.; Hand radiograph analysis and joint space location improvement for image interpretation, Schede Informaticae, 17{18, 2009, pp. 45{61.

Bielecki A., Korkosz M., Wojciechowski W., Zielinski B.; Identifying the borders of the upper and lower metacarpophalangeal joint surfaces on hand radiographs, Lecture Notes in Computer Science, 6113, 2010, pp. 589{596.

Kaufmann J., Slump C. H., Moens H. J. B.; Segmentation of hand radiographs by using multi-level connected active appearance models, Proceedings of the SPIE, 5747, 2005, pp. 1571{1581.

Bielecka M., Bielecki A., Korkosz M., Skomorowski M. et al.; Application of shape description metodology to hand radiographs interpretation, Lecture Notes in Computer

Bielecka M., Skomorowski M., Zielinski B.; A fuzzy shaper descriptor and interference by fuzzy relaxation with application to description of bones contours at hand radiographs, Lecture Notes in Computer Science, 5495, 2009, pp. 469{478.

Sharp J., Gardner J., Benett E.; Computer-based methods for measuring joint space and estimating erosion volume in the nger and wrist joints of patients with rheumatoid arthritis, Arthritis and Rheumatism, 43(6), 2000, pp. 1378{1386.

Bielecka M., Bielecki A., Korkosz M., Skomorowski M. et al.; Modi ed Jakubowski Shape Transducer for Detecting Osteophytes and Erosions in Finger Joints, Lecture Notes in Computer Science, 6594, 2011, pp. 147{155.

Bottcher J., Pfeil A., Rosholm A., Petrovitch A. et al.; Digital X-ray radiogrammetry combined with semiautomated analysis of joint space widths as a new diagnostic approach in rheumatoid arthritis: a cross-sectional and longitudal study, Arthritis and Rheumatism, 52(12), 2005, pp. 3850{3859.

Pfeil A., Bottcher J., Schafer M. L., Seidl B. E. et al.; Normative Reference Values of Joint Space Width Estimated by Computer-aided Joint Space Analysis (CAJSA): The Distal Interphalangeal Joint, Journal of Digital Imaging, 21(1), 2008, pp. 1{8.

Pfeil A., Bottcher J., Seidl B. E., Heyne J.-P. et al.; Computer-aided joint space anal- ysis of the metacarpal-phalangeal and proximal-interphalangeal nger joint: normative age-related and gender-speci c data, Skeletal Radiology, 36(9), 2007, pp. 853{864.

Sharp J., Gardner J., Bennett E.; Computer-based methods for measuring joint space and estimating erosion volume in the nger and wrist joints of patients with rheumatoid arthritis, Arthritis and Rheumatism, 43(6), 2000, pp. 1378{1386.

Ogiela M. R., Tadeusiewicz R., Ogiela L.; Image languages in intelligent radiological palm diagnostics, Pattern Recognition, 39, 2006, pp. 2157{2165.

Tadeusiewicz R., Ogiela M. R.; Medical image understanding technology, in: Studies in fuzzines and soft computing, Springer, Heidelberg, 2004.

Tadeusiewicz R., Ogiela M. R.; Picture languages in automatic radiological palm inter- pretation, International Journal of Applied Mathematics and Computer Science, 15(2), 2005, pp. 305{312.

Kloster R., Hendriks E. A., Watt I., Kloppenburg M. et al.; Automatic quanti cation of osteoarthritis in hand radiographs: validation of a new method to measure joint space width, Osteoarthritis and Cartilage, 16(1), 2008, pp. 18{25.

Bing Q., Ling-rui T., Jing Z.; Research on Measurement of Hydrophobocity-of- Insulators, Proceedings of the CSEE 2008, 26(31), 2008, pp. 120{124.

He C., Lu J., Han J.; Image edge detection method based on the direction feature of fuzzy entropy, 2010 Sixth International Conference on Natural Computation, 2010, pp. 3581{3584.

Information

Information: Schedae Informaticae, 2011, pp. 159 - 166

Article type: Original research article

Titles:

English:

An improvement in fuzzy entropy edge detection for X-ray imaging

Authors

Institute of Computer Science, Jagiellonian University, Poland

Published at: 23.01.2012

Article status: Open

Licence: None

Percentage share of authors:

Tomasz Wójtowicz (Author) - 100%

Article corrections:

-

Publication languages:

English

View count: 2135

Number of downloads: 1038