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An Evaluation of Edge Detection Algorithms for Mammographic Calcifications

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Book cover Proceedings of the Fourth International Conference on Signal and Image Processing 2012 (ICSIP 2012)

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 222))

Abstract

Edge detection is an important module in medical imaging for diagnostic detection and extraction of features. The main limitation of the existing evaluation measures for edge detection algorithms is the requirement of a reference image for comparison. Thus, it becomes difficult to assess the performance of edge detection algorithms in case of mammographic features. This paper presents a new version of reconstruction estimation function for objective evaluation of edge enhanced mammograms containing microcalcifications. It is a non-reference approach helpful in selection of most appropriate algorithm for edge enhancement of microcalcifications and also plays a key role in selecting parameters for performance optimization of these algorithms. Simulations are performed on mammograms from MIAS database with different category of background tissues; the obtained results validate the efficiency of the proposed measure in precise assessment of mammograms (edge-maps) in accordance with the subjectivity of human evaluation.

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References

  1. Rovere GQ, Warren R, Benson JR (2006) Early breast cancer from screening to multidisciplinary management, 2nd edn. Taylor and Francis Group, Florida

    Google Scholar 

  2. Canny JA (1986) Computational approach to edge detection. IEEE Trans Pattern Anal Mach Intell 6:679–698 (PAMI-8)

    Google Scholar 

  3. Woodhall M, Linquist C (1997) New edge detection algorithms based on adaptive estimation filters. In: 31st asilomar IEEE conference on signals systems & computers, vol 2. pp 1695–1699

    Google Scholar 

  4. Sharifi M., Fathy M, Mahmoudi MT (2002) A classified and comparative study of edge detection algorithms. In: Proceedings of the international conference on information technology: coding and computing (ITCC.02), (2002)

    Google Scholar 

  5. Strickland RN, Hahn H (1996) Wavelet transform for detecting microcalcifications in mammograms. IEEE Trans Med Imaging 15(2):218–229

    Article  Google Scholar 

  6. Dominguez JQ, Cortina-Januchs MG, Jevti’c A, Andina D, Barron-Adame JM, Vega-Corona A (2009) Combination of nonlinear filters and ANN for detection of microcalcifications in digitized mammography. In: Proceedings of the international conference on systems, man, and cybernetics, USA, pp 1516–1520

    Google Scholar 

  7. Papadopoulos A, Fotiadis DI, Costaridou L (2008) Improvement of microcalcification cluster detection in mammography utilizing image enhancement techniques. Comput Biol Med 38(10):1045–1055

    Article  Google Scholar 

  8. Wu Z, Yuan J, LV B, Zheng X (2010) Digital mammography image enhancement using improved unsharp masking approach. In: Proceedings of 3rd international congress on image and signal processing (CISP), vol 2. pp 668–672

    Google Scholar 

  9. Polosel A, Ramponi G, Mathews VJ (2000) Image enhancement via adaptive unsharp masking. IEEE Trans Image Process 9:505–510

    Article  Google Scholar 

  10. Yang YB, Shang HB, Jia GC, Huang LQ (2003) Adaptive unsharp masking method based on region segmentation. Optics Precis Eng 11:188–191

    Google Scholar 

  11. Stojic T, Reljin I, Reljin B (2005) Local contrast enhancement in digital mammography by using mathematical morphology. In: International symposium on signals, circuits and systems (ISSCS), vol 2. pp 609–612

    Google Scholar 

  12. Stojic T, Reljin B (2010) Enhancement of microcalcifications in digitized mammograms: multifractal and mathematical morphology approach. FME Trans 38(1):1–9

    Google Scholar 

  13. Dominguez JQ, Sanchez-Garcia M, Gozalez-Romo M, Vega-Corona A, Andina D (2009) Feature extraction using coordinate logic filters and artificial neural networks. In: 7th international conference on industrial informatics (INDIN’09), pp 645–649

    Google Scholar 

  14. Santhaiah Ch, Babu GA, Rani MU (2009) Gray-level morphological operations for image segmentation and tracking edges on medical applications. Int J Comput Sci Network Secur 9(7):131–136

    Google Scholar 

  15. Bhateja V, Devi S (2011) A novel framework for edge detection of microcalcifications using a non-linear enhancement operator and morphological filter. In: Proceedings of 3rd international conference on electronics & computer technology (ICECT-2011), Kanyakumari (India), vol 5. pp 419–424

    Google Scholar 

  16. Shin M, Goldgof D, Bowyer K, Nikiforou S (2001) Comparison of edge detection algorithms using a structure from motion task. IEEE Trans Syst Man Cybern B 31(4):589–601

    Article  Google Scholar 

  17. Yitzhaky Y, Peli E (2003) A method for objective edge detection evaluation and detector parameter selection. IEEE Trans Pattern Anal Mach Intell 25(8):1027–1033

    Article  Google Scholar 

  18. Wang Z, Bovik AC, Sheikh HR, Simoncelli EP (2004) Image quality assessment: from error visibility to structural similarity. IEEE Trans Image Process 13(4):600–612

    Article  Google Scholar 

  19. Trahanias P, Venetsanopoulos A (1996) Vector order statistics operators as color edge detectors. IEEE Trans Syst Man Cybern B 26(1):135–143

    Article  Google Scholar 

  20. Pratt W (1991) Digital image processing, 2nd edn. Wiley, New York

    MATH  Google Scholar 

  21. Yitzhaky Y, Peli E (2003) A method for objective edge detection evaluation and detector parameter selection. IEEE Trans Pattern Anal Mach Intell 25(8):1027–1033

    Article  Google Scholar 

  22. Devi S, Soni A, Thakur N, Das M (2010) Image quality metric for coupled noise and distortion. In: 4th international conference on advanced computing and communication technologies (ICACCT-2010), India

    Google Scholar 

  23. Carlsson S (1988) Sketch based coding of gray level images. Signal Process 15(1):57–83

    Article  Google Scholar 

  24. Elder J (1999) Are edges incomplete? Int J Comp Vis 34(2/3):97–122

    Google Scholar 

  25. Govindarajan B, Panetta K, Agaian S (2008) Image reconstruction for quality assesment of edge detectors. In: Proceedings of IEEE international conference on systems, man, and cybernetics, pp 691–696

    Google Scholar 

  26. Govindarajan B, Panetta K, Agaian S (2009) A non-reference measure for objective edge map evaluation. In: Proceedings of IEEE international conference on systems, man, and cybernetics, pp 4563–4568

    Google Scholar 

  27. Carlsson S (1988) Sketch based coding of gray level images. Signal Process 15(1):57–83

    Article  Google Scholar 

  28. Suckling J, et al. (1994) The mammographic image analysis society mammogram database. In: Proceedings of 2nd international workshop digital mammography,U.K, pp 375–378

    Google Scholar 

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Author information

Authors and Affiliations

  1. Department of Electronics and Communication Engineering, SRMGPC, Lucknow, Uttar Pradesh, India

    Vikrant Bhateja

  2. Department of Electronics and Communication Engineering, NITTTR, Chandigarh, India

    Swapna Devi

  3. Electrical Engineering Department, School of Engineering, GBU, Gr. Noida, Uttar Pradesh, India

    Shabana Urooj

Authors
  1. Vikrant Bhateja
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  2. Swapna Devi
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  3. Shabana Urooj
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Corresponding author

Correspondence to Vikrant Bhateja .

Editor information

Editors and Affiliations

  1. , Computer Science & Engineering, Dr. N.G.P. Institute of Technology, Kalapatti Road, Coimbatore, 641048, Tamil Nadu, India

    Mohan S

  2. , Electronics & Communication Engineering, Dr. N.G.P. Institute of Technology, Kalapatti Road, Coimbatore, 641048, Tamil Nadu, India

    S Suresh Kumar

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Bhateja, V., Devi, S., Urooj, S. (2013). An Evaluation of Edge Detection Algorithms for Mammographic Calcifications. In: S, M., Kumar, S. (eds) Proceedings of the Fourth International Conference on Signal and Image Processing 2012 (ICSIP 2012). Lecture Notes in Electrical Engineering, vol 222. Springer, India. https://doi.org/10.1007/978-81-322-1000-9_46

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  • DOI: https://doi.org/10.1007/978-81-322-1000-9_46

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  • Publisher Name: Springer, India

  • Print ISBN: 978-81-322-0999-7

  • Online ISBN: 978-81-322-1000-9

  • eBook Packages: EngineeringEngineering (R0)

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