References
[1]. Zhao Yu qian, Gui Wei-hua, (2005). ”Medical Images
edge detection Based on Mathematical Morphology”
Proceedings of 2005 IEEE Engineering in Medicine and
th Biology 27 Annual Conference.
[2]. H. Chidiac, D. Ziou, (1999). “Classification of image Edges”, Vision interface'99, Troise-Rivieres, Canada, pp.
17-24.
[3]. M. Heath, S. Sarker, T. Sanocki and K. Bowyer, (1996).
“Comparison of Edge Detectors: A Methodology and Initial
Study”, Proceedings of CVPR'96 IEEE Computer Society
Conference on Computer Vision and Pattern Recognition,
pp. 143-148.
[4]. Speeuwers, L. j. Heijden, F. Vander, (1992). “Evaluation
of Edge Detectors using Average Risk”, Robust Computer
Vision (Eds: Forstner/Ruwiedel), Wichmann, Karlsruhe:.
[5]. Tuba Sirin, Mehmet Izzet Saglam et al. “A Comparative
Evaluation of Competitive Learning Algorithms for Edge
detection Enhancement”,
[6]. Shin. M. C, Goldgof. D. B, Bowyer.K.W, Nikiforou.S,
(2001). ”Comparision of edge detection algorithms using
structure from motion task” Systems, Man and Cybernetics,
Part B, IEEE Transactions, Vol 31,Issue 4, pp.589-601.
[7]. E. Clavier, S. Clavier, J. Labiche, (1999). “Image
Sorting-Image Classification: A Global Approach”, icdar
'99, Proceedings of the Fifth International IEEE Conference
on Document Analysis and Recognition, pp. 123-126.
[8]. RamanMainiand J. S. Sohal, (2006). ”Performance
Evaluation of Prewitt Edge Detector for Noisy Images”, GVIP
Journal, Vol-6, Issue-3.
[9]. Mohsen Sharifi, Mahmoud Fathy, (2002). “A Classified
and Comparitive Study of Edge detection Algorithms”,
Proceedings of International Conference on Information
Technology: Coding and Computing (ITCC'02) IEEE.
[10]. Mohamed Roushdy, (2006). ”Comparitive Study of
Edge detection Algorithms Applying on the Gray Sacle
Noisy Image using Morphological Filter”, GVIP Journal, Vol-
6, Issue-4.
[11]. R. M. Haralick, L. g. Slhapiro, (1992). “Computer and
Robot Vision”, Vision 1, Addition- Wesley Publishing
Company Inc.
[12]. Albovik, (2000). ”Handbook of Image and video
Processing”, Academic Press.
[13]. P. Garcia, F. Pla, I. Garcia, (1999). “Detecting Edges in
colour Images using dichromatic Differences”, Seventh
International IEEE Conference on Image processing and
ITS Applications, Vol. 1, pp.363-367.
[14]. K. Timmermann and R. Novak, (1999). ”Multiscale
modelling and estimation of Poisson processes with
applications to photon-limited imaging”, IEEE, Trans
Information Theory., Vol.45, No.3, pp.846-852.
[15]. S. G. Chang, Y. Binand, M.Vetterli, (2006). ”Adaptive
wavelet thresholding for image denoising and
compression”, IEEE Trans. On Image Processing, Vol.9,
No.9, pp. 1532-1546.
[16]. L. Gagnon and F. D. Smaili, (1996). ”Speckle Noise
Reduction of Airborne SAR Images with Symmetric
Daubechies Wavelets”, SPIE Proc. #2759, pp. 1424.
[17]. Cronin, P. et al., (2008). Solitary Pulmonary Nodules:
Meta-analytic Comparison of Cross-sectional Imaging
Modalities for Diagnosis of Malignancy. Radiology.
246:772-782.
[18]. H. E Durdick, (1996). Digital imaging: theory and
applications, McGraw-hill.
[19]. Z. Wang and D. Hang, (1999). ” Progressive Switching
Median Filter for the Removal of Impulse Noise from Highly
Corrupted Images”, IEEE Trans. on Circuits and Systems –II:
Analog and Digital Signal Processing, Vol. 46. No. 1, pp.78-
80.
